Reframing cognitive overload as an ergonomic risk in contemporary workplaces: a perspective

1 Introduction

Ergonomics has historically been concerned with optimizing the fit between human capabilities and work-system design, with particular emphasis on the physical environment of work. The discipline has long concentrated on musculoskeletal safety, posture, repetitive-strain injury, workstation layout, and biomechanical efficiency (Grandjean, 1986). Occupational health standards and ergonomic interventions have therefore been oriented primarily toward physical risk reduction, ensuring that chairs, screens, lighting, and tools are compatible with the anatomical and physiological capacities of the human body. Although this approach has substantially reduced physical load and trauma across industrial sectors, it nonetheless reflects a predominantly biomechanical conception of occupational hazard.

Ergonomics as a science, however, is not limited to physical architecture. Cognitive ergonomics, one branch of the human factors research field, addresses cognitive processes including attention, perception, memory, and decision-making and the ways in which system design shapes cognitive processing (Parasuraman and Hancock, 2001). Despite this theoretical addition, contemporary workplace policies and ergonomic regulations continue to focus predominantly on physical risks, and sustained cognitive strain has received comparatively less recognition as an equivalent occupational stressor. This discrepancy is increasingly evident in digitally mediated, knowledge-intensive work settings.

Because related constructs are sometimes used interchangeably in literature, the following working definitions are adopted in this article. Cognitive workload refers to the degree of mental demand imposed by a task on an individual at a given point in time. Cognitive overload denotes the specific state in which cumulative cognitive demands exceed available processing resources. Mental fatigue is conceptualized as an acute or sub-acute state of depletion arising from sustained cognitive effort. Technostress refers to a stress response arising from the perceived inability to cope with the demands of information and communication technologies (Tarafdar et al., 2007, 2019). Attentional fragmentation describes the disruption of sustained attention through interruptions and frequent task-switching. Burnout, following the World Health Organization (WHO) (2019) International Classification of Diseases, 11th Revision, is used exclusively to denote a chronic occupational phenomenon resulting from unmanaged workplace stress, characterized by exhaustion, mental distance from work, and reduced professional efficacy. Psychosocial strain refers to stress arising from social and organizational features of work conditions. These constructs are used distinctly and consistently throughout the article.

Contemporary working environments are characterized by high information density, persistent connectivity, multitasking demands, and frequent task-switching. Recent research suggests that increasing digital connectivity, multitasking requirements, and continuous information flow can significantly intensify cognitive workload in modern workplaces, with potential consequences for employee wellbeing and performance (Sonnentag et al., 2022; Feng et al., 2025). Digital communication tools, real-time messaging applications, collaborative software, and performance-monitoring technologies have become standard features of daily work. These conditions can increase cognitive load by dispersing attention and saturating working memory. Cognitive Load Theory provides one analytical lens for examining these pressures. Building on the cognitive ergonomics tradition introduced above, Cognitive Load Theory (Sweller, 1988) distinguishes intrinsic load, extraneous load, and germane load. In many contemporary workplace environments, overload tends to emerge not from intrinsic task complexity alone but from extraneous load generated by fragmented workflows, frequent disruptions, and excessive information flow, which can exceed available cognitive resources and undermine performance.

Experimental studies suggest that sustained attention is compromised by frequent task-switching and interruption (Mark et al., 2008), and that even brief interruptions can produce measurable attentional residue (Leroy, 2009). Technostress literature reports that excessive demands of a digital nature can be associated with strain responses including emotional exhaustion and reduced job satisfaction (Tarafdar et al., 2015, 2019). From a resource-based perspective, the Job Demands-Resources (JD-R) model proposes that uncompensated, sustained high demands may lead to burnout and reduced wellbeing (Bakker and Demerouti, 2007). Within this framework, burnout is conceptualized as a chronic occupational phenomenon resulting from unresolved workplace stress, particularly in roles with high cognitive demands [World Health Organization (WHO), 2019].

Cognitive overload is frequently presented as an individual coping limitation, with responses framed in terms of time management, resilience, mindfulness, and digital discipline. While individual-level interventions may yield short-term benefits, this discursive positioning risks obscuring a systemic issue: cognitive overload often arises from structural and design-related features of work systems. Where workflows require simultaneous monitoring of multiple platforms, continuous responsiveness, and time-constrained decision-making, overload is plausibly understood not as an individual failure but as an expected outcome of environmental design.

This view is consistent with theoretical models of mental fatigue. The compensatory control model proposes that individuals can sustain performance under high demand through additional mobilized effort, but that such compensatory work generates fatigue and may ultimately impair performance (Hockey, 1997). Research on decision fatigue further suggests that sustained cognitive demand can be associated with degraded judgement quality over time (Baumeister et al., 1998; Vohs et al., 2008). It is important to note that the ego-depletion paradigm on which parts of this literature rest has been the subject of substantial replication debate (Hagger et al., 2016); accordingly, the present article treats decision fatigue as one strand within a broader, convergent literature on cognitive resource depletion rather than as a settled finding.

Recovery science offers a valuable interface between cognitive workload and occupational health. Work recovery involves the restoration of depleted cognitive and emotional resources through psychological detachment, relaxation, and reduction of task demands (Sonnentag and Fritz, 2007). Recent reviews emphasize that recovery is not solely an after-work process but can and should be integrated into daily work activity (Sonnentag et al., 2022). Many contemporary occupational cultures, however, valorize continuous availability and busyness as proxies for productivity. Such cultural reinforcement of sustained cognitive activation reduces opportunities for restoration and increases the risk of chronic overload.

Although physical ergonomic risks, for example, poor seating or inadequate lighting—are commonly recognized as environmental hazards, comparable cognitive design problems are not yet consistently operationalized within occupational risk frameworks. While the International Organization for Standardization has addressed mental workload through the ISO 10075 series since 1991 [International Organization for Standardization (ISO), 2000, 2017a,b], the application of these standards to contemporary digitally mediated workplaces remains uneven. The present article proposes a conceptual framework intended to support the further development and contextualization of such standards.

Framing cognitive overload as a design-related occupational risk shifts attribution from individual coping to system design. This perspective aligns with contemporary calls to develop what may be termed recovery ergonomics, in which cognitive workload relief, task pacing, and structured restoration opportunities are embedded within organizational design. By orienting the discussion away from individual resilience-building and toward systemic risk prevention, workplaces may move toward psychologically sustainable productivity models that balance performance requirements with long-term wellbeing.

This article therefore argues that cognitive overload, when it arises from work-system design, can productively be considered an organizational occupational risk rather than primarily an individual coping limitation. Extending ergonomic frameworks to incorporate sustained cognitive strain may help align occupational health standards with the realities of contemporary work. This represents an important step toward treating cognitive sustainability as a relevant element of work policy, leadership, and human-centered system design.

This article advances three propositions. First, it argues for clear conceptual distinctions among cognitive workload, cognitive overload, mental fatigue, technostress, attentional fragmentation, and burnout. Second, it argues that cognitive overload can be reframed as an ergonomic risk when it arises from work design, satisfying definitional criteria drawn from established ergonomic frameworks. Third, it introduces recovery ergonomics as a preventive design approach in which structured cognitive restoration is embedded within organizational systems. By framing recovery as a design requirement rather than an individual coping strategy, the proposed framework contributes a preventive perspective to ongoing discussions of workplace wellbeing and sustainable performance.

2 Conceptual foundations of cognitive overload in contemporary workplaces

2.1 Work demands and cognitive load

Cognitive overload arises when the cumulative demands of a task or work environment exceed the processing resources available within working memory, particularly when extraneous load arising from poorly designed work systems compounds intrinsic task complexity. Cognitive Load Theory (CLT) provides a foundational account of this phenomenon. CLT distinguishes intrinsic load, which derives from the inherent complexity of a task; extraneous load, generated information is structured or presented; and germane load, which supports learning and schema construction (Sweller, 1988; Sweller et al., 2011). Although intrinsic load may be inherent to complex professional roles, extraneous load produced by poorly organized workflows, redundant communication channels, and frequent disruption can substantially impair cognitive efficiency.

CLT was originally developed in the context of instructional design and educational learning environments. Its extension to occupational settings warrants explicit justification. The present article applies CLT heuristically, following human factors and ergonomics scholarship that has applied the tripartite load framework to professional task environments and to multi-task workplace performance (Young and Stanton, 2002; Wickens, 2002). The limitations of this contextual transfer, particularly the difference between deliberate learning environments and ongoing operational work are acknowledged in the Limitations section.

Cognitive overload frequently arises not from task complexity alone but from fragmented task structures that are common in contemporary work environments. Task-switching research suggests that there are measurable cognitive costs associated with shifting between tasks, including higher error rates and slower responses (Monsell, 2003). Such switching disrupts attentional continuity and entails reconfiguration of executive-control processes, generating mental effort that may exceed externally observable demand. In digital workplaces where employees frequently move between email, messaging platforms, dashboards, and meetings, these switching costs can accumulate across the workday.

Closely related is the concept of decision fatigue, which has been associated with degradation of self-regulatory and executive resources following repeated decision-making (Baumeister et al., 1998; Vohs et al., 2008). As noted above, the strength of the ego-depletion effect specifically has been the subject of significant replication debate (Hagger et al., 2016); the present discussion therefore treats decision fatigue as one element within a broader literature on cognitive resource depletion rather than as a settled finding. Many contemporary roles nonetheless involve a high volume of micro-decisions prioritizing emails, responding to notifications, selecting among competing activities sustaining cognitive activation with limited recovery, with potential consequences for judgement quality, decision avoidance, and problem-solving over time.

Attention fragmentation is a further important mechanism. Complex reasoning and creative problem-solving require sustained attention, but contemporary digital ecosystems frequently promote divided attention. The literature on workplace interruptions suggests that even brief digital interruptions may have lasting residual effects: cognitive resources can remain partially engaged with a previous task even after attention has nominally shifted (Leroy, 2009; Mark et al., 2008). This residue can lead to shallower information processing and contributes to mental fatigue. Continuous attentional shifts may also impede the consolidation of attention and amplify perceived workload.

Taken together, these mechanisms suggest that cognitive overload in contemporary workplaces is not merely a subjective experience of being busy but a measurable outcome of the interaction between cognitive architecture and environmental design. The combination of extraneous load, switching demands, and decision pressure can place employees at or beyond cognitive capacity thresholds, with associated risks of error, emotional distress, and decline in wellbeing.

2.2 Contemporary workplace risk factors

Although cognitive principles explain how overload develops in specific situations, contemporary organizational structures help explain why overload tends to persist. Before reviewing these structural features, three frequently conflated constructs should be defined. Technostress (Tarafdar et al., 2007, 2019) refers to a stress response arising from the perceived inability to cope with the demands of information and communication technologies. Digital fatigue refers to a state of resource depletion arising from sustained digital engagement. Digital overload refers, situationally, to excessive information volume across digital channels. These constructs are theoretically and empirically distinct, with different antecedents and intervention implications, and they are not used interchangeably in this article.

Digital notification and communication overload is one of the most consequential contributors to cognitive intrusion in contemporary workplaces, operating primarily as an amplifier of extraneous cognitive load. High volumes of email, instant messaging, collaborative tools, and real-time notifications generate frequent cognitive intrusions. Studies of technostress and digital work environments suggest that persistent digital interruptions and communication demands can be associated with sustained cognitive load and reduced job satisfaction (Tarafdar et al., 2019). The expectation of continuous responsiveness can sustain a state of cognitive vigilance even during nominal pauses.

Remote and hybrid work arrangements have changed the spatial and temporal architecture of work, with implications for recovery processes rather than solely for extraneous load. Such arrangements offer documented benefits, including reduced commute-related fatigue, fewer ambient workplace interruptions, increased autonomy in scheduling, and the possibility of extended periods of deep focus for some individuals. At the same time, evidence suggests that remote work can extend working hours and reduce the psychological distance between work and personal life (Sonnentag and Fritz, 2007), and the erosion of work–nonwork boundaries may sustain cognitive engagement outside formal working hours and impede recovery. The cognitive consequences of hybrid arrangements are therefore conditional on work design, organizational culture, individual context, and the degree to which recovery is structurally supported.

A further structural element is the normalization of high-performance and productivity-oriented cultures, which operate primarily as a social-organizational pressure normalizing chronic cognitive engagement. Organizational narratives often valorize multitasking, continuous availability, and rapid responsiveness. These cultural norms implicitly reward sustained cognitive engagement and discourage interruption or disengagement. From a JD-R perspective, sustained high demands combined with limited recovery opportunities can increase the risk of burnout (Bakker and Demerouti, 2007). Where measures of productivity emphasize continuous activity, cognitive overload may become institutionally embedded rather than incidental.

The expanding use of digital surveillance and productivity-monitoring systems represents another structural feature, with implications for perceived autonomy and hypervigilance. A balanced reading of the literature suggests that monitoring is not uniformly cognitively costly. Monitoring systems that enhance coordination, clarify task allocation, or improve safety can support performance, whereas systems that intensify performance visibility, narrow autonomy, or generate continuous performance anxiety can erode autonomy and sustain hypervigilance. The latter conditions are consistent with Karasek's (1979) demand-control model, in which high demands combined with low control are associated with strain. The cognitive implications of monitoring therefore depend on its design and implementation.

Meeting overload, characterized by excessive, back-to-back, or poorly structured meetings, has become a significant source of cognitive strain in contemporary work environments. The proliferation of virtual meetings, often distributed across the working day, reduces uninterrupted focused work time and elevates social-cognitive demands. Video-mediated communication compresses non-verbal cues and can sustain prolonged attentional, impression-management, and information-processing demands. Dense meeting schedules fragment available focus time and compound task-switching costs. Recent research has identified the phenomenon of virtual meeting fatigue sometimes referred to as “Zoom fatigue” which is associated with sustained attentional demands and reduced non-verbal cues in video-mediated environments (Fauville et al., 2021). Meeting overload may therefore operate simultaneously as an amplifier of extraneous load and as a disruptor of recovery opportunities.

Collectively, these risk factors suggest that cognitive overload can be a structural feature of contemporary work design. It is not solely a consequence of intrinsic task complexity but is shaped by digital architecture, social norms, and organizational processes that amplify extraneous cognitive load and constrain recovery. Recognizing these systemic factors supports the case for treating cognitive overload as an ergonomic risk requiring organizational-level response rather than individual adjustment alone.

It is important to acknowledge several counter positions. First, high cognitive demand is not inherently harmful: complex and challenging work can be intrinsically motivating and conducive to skill development. The argument advanced here targets poorly structured excess demand rather than cognitive challenge. Second, many digital tools demonstrably reduce memory burden, support coordination, and streamline information retrieval; the concern is with poorly designed digital ecosystems that generate excessive interruption and redundant information, not with digital technology per se. Third, some overload-related outcomes may be more accurately characterized as psychosocial risks than as ergonomic risks in the narrower physical-design sense. The framing proposed in this article is therefore complementary too, rather than a replacement for psychosocial risk frameworks; recognizing cognitive overload as an ergonomic risk extends rather than displaces existing categorizations of occupational health.

3 Reasons to consider cognitive overload an ergonomic risk

To evaluate whether cognitive overload qualifies as an ergonomic risk, a formal operational definition is required. Drawing on the International Ergonomics Association (IEA) (2000) and the ISO 10075 series on mental workload [International Organization for Standardization (ISO), 2000, 2017a,b], this article adopts the following working definition: an ergonomic risk is a condition that (i) arises from a mismatch between environmental or system design and human capacity; (ii) produces quantifiable performance impairment or health consequences; and (iii) is preventable through redesign of the work system. The remainder of this section evaluates cognitive overload against each of these three criteria.

Cognitive overload meets the first criterion: it arises from the interaction between environmental design and human cognitive constraints. Working memory capacity is bounded (Baddeley, 1992), and resources supporting executive control can be depleted following sustained demand (Baumeister et al., 1998). Work systems that subject individuals to continuous interruptions, dense decision sequences, and simultaneous monitoring of multiple channels can exceed these cognitive limits. This mismatch between system design and cognitive architecture is, in formal terms, analogous to a mismatch between workstation design and human biomechanics, although the mechanisms are distinct.

Cognitive overload also meets the second criterion: chronic cognitive load is associated with measurable performance impairments. Studies suggest that excessive workload is associated with diminished attentional stability, increased error rates, and reduced effectiveness in complex decision-making (Hockey, 1997; Monsell, 2003). In safety-critical industries such as healthcare, aviation, and emergency response, cognitive overload has been associated with adverse events and degraded system performance (Young and Stanton, 2002). In healthcare contexts, interruption-driven cognitive load has been associated with medication and procedural errors. In aviation, automation-induced complacency and high concurrent task demands have contributed to documented incidents. In emergency response, decision density and time pressure are recognized contributors to procedural deviations. Cognitive overload therefore involves operational risk as well as subjective discomfort.

Sustained cognitive strain is also associated with psychological and physiological costs. Persistent work demands and limited recovery have been associated with exhaustion, mental distance from work, and reduced professional efficacy the core dimensions of burnout (Maslach and Jackson, 1981; Maslach et al., 2001). The World Health Organization (WHO) (2019) classifies burnout as a chronic occupational phenomenon resulting from unmanaged workplace stress. From a stress-response perspective, sustained sympathetic activation associated with continuous cognitive engagement without rest may contribute to vulnerability to mental fatigue and strain-related conditions (McEwen, 1998). These cumulative effects are conceptually parallel to the chronic patterns associated with poorly designed physical environments, although they manifest through distinct physiological pathways.

It is appropriate to note that, while laboratory studies and theoretical models provide substantial support for these associations, field-based measurement of workplace cognitive overload remains less developed. Several peer-reviewed occupational health and human factors studies have, however, examined cognitive workload in naturalistic work settings, including studies of interruption density in clinical environments, attentional demands in air-traffic control, and information overload in office work (Fengelberg et al., 2025; Feng et al., 2025; Stajkovic, 2025). The conceptual framework proposed in this article should be empirically evaluated in additional naturalistic contexts (see Section 7.1 and 7.2).

Cognitive overload also meets the third criterion: it is preventable through redesign of the work system. Established physical ergonomics practice consistently involves both environmental redesign and worker-centered practices for example, both adjustable workstations and training in postural awareness. Cognitive ergonomics is best understood as following a similarly dual approach, combining structural redesign (workflow architecture, notification governance, meeting hygiene, and protected focus time) with individual practices (cognitive pacing, recovery routines, and ergonomic awareness). The argument here is not that individual practices are unimportant, but that they are insufficient where structural design factors generate sustained extraneous load.

The JD-R model provides additional explanatory grounding. Job demands generate physiological and psychological costs, particularly where resources such as autonomy, social support, and recovery opportunities are limited (Bakker and Demerouti, 2007). This imbalance can produce pathways to burnout and disengagement when cognitive demands are sustained and recovery is constrained. Within this framework, cognitive overload may be conceptualized as a demand-related stressor with ergonomic dimensions, embedded within organizational systems.

It is also important to recognize the paradoxical role of contemporary work technologies. Digital tools can both reduce and amplify cognitive demand depending on their design, implementation, and organizational context. Some technologies clearly reduce memory burden, support coordination, and facilitate work; others can generate excessive communication channels and persistent performance visibility (Tarafdar et al., 2019). The argument advanced here targets poorly designed or excessively interruption-generating digital architectures rather than digital technology in general.

In ergonomic terms, a working set of candidate operational indicators for cognitive overload in workplace settings might include interruption frequency per work hour; daily decision load; the proportion of working hours spent in meetings; after-hours digital communication volume; and the availability of uninterrupted focus time. These indicators are intended as a preliminary conceptual basis for future ergonomic audit instruments; the development and validation of formal measurement tools is identified below as a research priority.

Recognizing cognitive overload as an ergonomic risk also has normative implications: responsibility shifts in part from individuals to organizations. Such reframing aligns with contemporary human-centered design principles, in which systems are designed around human capacities rather than expecting individuals to scale indefinitely to system demands.

In sum, cognitive overload meets the definitional, functional, and preventive criteria adopted here for an ergonomic risk. It arises from structural mismatches between cognitive capacity and environmental demand; it is associated with measurable performance impairments and long-term occupational strain; and it is amenable to system-level redesign. As workplaces become increasingly knowledge-intensive and digitally mediated, the costs of overlooking cognitive overload within ergonomic frameworks are likely to grow. Recognition at the occupational health level is, in this view, not merely theoretical but a practical step toward psychologically sustainable work systems.

4 A conceptual model of cognitive overload as an ergonomic risk

4.1 Theoretical foundation

The proposed conceptual model integrates Cognitive Load Theory (CLT), the Job Demands Resources (JD-R) model, and Recovery Theory to articulate how cognitive overload can be understood as an ergonomic risk in contemporary workplaces.

CLT, at its core, holds that working-memory capacity is limited and that performance declines when demands exceed this limit (Sweller, 1988). Although intrinsic task demands are often unavoidable in occupational settings, extraneous cognitive load generated by interruptions, multitasking, and inefficient workflow design can be reduced through system design. Excessive cognitive load is therefore often indicative of environmental rather than individual ineffectiveness. As noted in Section 2.1, the extension of CLT from instructional design to occupational settings is heuristic and follows precedent in human factors and occupational ergonomics (Young and Stanton, 2002; Wickens, 2002).

The JD-R model addresses how sustained cognitive demands generate occupational strain. Strain responses emerge when job demands (such as information density, decision pressure, and attentional fragmentation) exceed available resources (such as autonomy, recovery opportunities, and psychological safety) (Bakker and Demerouti, 2007). Sustained imbalance is associated with exhaustion and disengagement over time.

Recovery Theory complements these perspectives by emphasizing that depleted resources must be systematically restored. Psychological detachment, relaxation, and reduced demand are key recovery experiences for restoring cognitive capacity (Sonnentag and Fritz, 2007). Where recovery opportunities are structurally limited, cumulative cognitive fatigue is likely to persist.

These three frameworks operate at distinct but complementary levels of analysis: CLT addresses the individual cognitive architecture and capacity, the JD-R model addresses organizational-level demand–resource interactions, and Recovery Theory addresses the temporal cycle of resource depletion and restoration. The proposed framework integrates them by positioning cognitive overload as a multi-level systems response: cognitive architecture (CLT) interacts with organizational demand–resource imbalance (JD-R) under conditions of insufficient temporal recovery (Recovery Theory). The integration explicitly recognizes that constructs from different levels are theoretically distinct and that empirical operationalization may require level-specific measures. Where assumptions across frameworks could potentially conflict for example, the time scales over which depletion and recovery occur the present article treats these as open empirical questions rather than as settled relationships.

Taken together, these frameworks suggest that cognitive overload is not an isolated psychological phenomenon but a systems response to demand–capacity imbalance combined with inadequate recovery infrastructure.

4.2 Proposed conceptual model

The proposed model conceptualizes cognitive overload as a multi-stage ergonomic risk process. The model is summarized below in narrative form and represented graphically in Figure 1.

Stage 1: Structural cognitive demands

• Information saturation across multiple channels.
• Digital interruptions, including notifications and unscheduled messaging.
• Task-switching requirements.
• Decision density across the workday.
• Meeting proliferation, particularly back-to-back and video-mediated meetings.

These demands tend to elevate extraneous cognitive load.

Stage 2: Cognitive capacity strain

• Working-memory saturation.
• Attentional residue between tasks.
• Depletion of executive-control resources.
• Compensatory effort to maintain performance.

Sustained strain is associated with measurable cognitive exhaustion.

Stage 3: Disrupted recovery processes

• Reduced psychological detachment from work.
• Persistent connectivity outside formal work hours.
• Erosion of work–nonwork boundaries.
• Cultural norms that discourage or penalize breaks.

Resource restoration is incomplete in the absence of structured recovery.

Stage 4: Outcomes (indicative temporal boundaries)

• Short-term (within a single workday or work session): increased error rates; reduced concentration; slower decision-making.
• Medium-term (weeks to months of sustained overload): mental fatigue; emotional exhaustion; reduced job satisfaction.
• Long-term (months to years of chronic, unresolved strain): burnout (per World Health Organization (WHO), 2019); reduced engagement; occupational health risks.

These temporal boundaries are indicative; empirical calibration in occupational settings is required.

4.2.1 Feedback loop and moderators

The model is not strictly linear. A feedback pathway is proposed whereby long-term outcomes particularly burnout and reduced engagement further deplete available cognitive resources and increase sensitivity to subsequent overload, generating a self-reinforcing cycle. In addition, individual differences in working-memory capacity, cognitive flexibility, domain expertise, age-related cognitive changes, and neurodivergence are positioned as moderators that influence both vulnerability to overload and the effectiveness of recovery processes.

4.3 Central proposition

The central theoretical proposition is as follows: an ergonomic risk is present where cognitive demands systematically exceed human cognitive capacities and where the mechanisms of recovery are not sufficiently incorporated into work design. This formulation positions cognitive overload analogously to recurrent physical strain, while recognizing that the mechanisms differ in important respects.

4.4 The role of recovery ergonomics

A distinctive feature of the proposed model is the inclusion of recovery ergonomics as a preventive design domain. Recovery as a temporal-psychological process is well-established in the literature (Meijman and Mulder, 1998; Sonnentag and Fritz, 2007); the contribution here is to reconceptualize recovery as a structural organizational design requirement rather than solely as an individual experience. In this article, recovery ergonomics is consistently understood as a set of structural organizational design principles that reduce the probability and severity of cognitive overload and disrupt the pathway from sustained demand to long-term strain. The use of “mediator” and “buffer” in their narrow statistical senses is avoided to prevent terminological confusion.

Recovery ergonomics, as proposed here, includes:

• Planned micro-recovery periods.
• Cognitive pacing the deliberate structuring of task sequences, engagement periods, and recovery intervals to prevent sustained overload accumulation.
• Notification governance reducing non-urgent notification frequency through batched delivery, simplifying the informational content of individual alerts, and distinguishing between synchronous and asynchronous communication modes.
• Protected deep-work periods.
• Autonomy-supportive leadership.
• Meeting hygiene protocols.

Within the model, recovery ergonomics is positioned as a design domain that reduces the rate at which cognitive demands translate into sustained strain and adverse outcomes. With recovery designed into the work system, the trajectory from overload to burnout may be disrupted.

4.5 Theoretical contributions

The proposed framework offers three distinguishable contributions to literature, situated relative to prior work:

Reclassification: the framework applies established ergonomic definitional criteria [International Ergonomics Association (IEA), 2000; ISO 10075 series] to cognitive overload, providing a structured basis for treating it as an ergonomic risk rather than solely as a psychological stress response.

Integration: it articulates how Cognitive Load Theory, the JD-R model, and Recovery Theory operate at individual, organizational, and temporal levels of analysis, respectively, can be combined within a single applied framework for contemporary work.

Prevention orientation: it introduces recovery ergonomics as a named design-level construct extending prior recovery-as-process accounts (Meijman and Mulder, 1998; Sonnentag and Fritz, 2007) by treating recovery as a structural organizational requirement and orients intervention toward structural redesign rather than relying primarily on individual resilience training. The framework is specifically tailored to contemporary digital work contexts characterized by persistent connectivity and notification-driven interruption.

By integrating cognitive capacity limits into design discussions, the framework contributes to ongoing scholarship on psychologically sustainable workplace design and engineering.

5 The missing dimension: recovery ergonomics

Although, cognitive overload has been examined extensively within stress and burnout research, it has been less systematically engaged within ergonomic models. Traditional ergonomics has emphasized preventive design modifying physical systems to fit human anatomical capacities. A comparable systematic extension of preventive design principles to cognitive workload and recovery has been less fully developed. This article terms such an extension recovery ergonomics.

Recovery ergonomics, as defined here, refers to the deliberate design of work systems that incorporate structured opportunities for cognitive restoration. This includes mechanisms such as micro-breaks, protected deep-work periods, governed digital interruptions, and leadership practices that support psychological detachment from work.

Recovery refers to the restoration of depleted psychological and cognitive resources following sustained effort (Sonnentag and Fritz, 2007). Recovery Theory holds that load reactions generated by work need to be addressed through detachment and rest to avoid the accumulation of chronic strain. In contemporary workplaces, digital connectivity and prevailing productivity norms can constrain cognitive disengagement, leaving restoration incomplete and contributing to cumulative cognitive fatigue.

Recovery ergonomics reframes restoration as a structural design domain rather than a purely individual undertaking. Rather than relying primarily on employee resilience strategies (such as mindfulness training or time-management interventions), recovery is incorporated into the architecture of work itself. This approach aligns with the Effort-Recovery Model (Meijman and Mulder, 1998), which proposes that insufficient recovery following high demands sustains physiological and cognitive activation, with potential consequences for health overtime. The contribution of recovery ergonomics relative to this model is to translate recovery from a temporal-psychological process into a design specification an organizational design responsibility.

A systems view of recovery ergonomics entails deliberate restructuring of cognitive demand patterns, including structured micro-breaks, protected deep-work periods, asynchronous communication guidelines, and policies regarding after-hours digital communication. Empirical evidence suggests that even brief micro-recovery breaks during the workday can support concentration and reduce indicators of cognitive fatigue, consistent with the value of structured recovery opportunities in organizational design (Bennett et al., 2018). These findings indicate that recovery is associated not only with restoration but with sustained performance.

Psychosocial conditions are also part of recovery ergonomics. Autonomy, psychological safety, and managerial support are positioned as key resources within the JD-R model (Bakker and Demerouti, 2007). Recovery is more attainable when employees feel some control over the pace of work and are not implicitly penalized for disengaging. Conversely, organizational cultures in which continuous responsiveness is equated with commitment may undermine recovery and normalize sustained cognitive activation.

Within the conceptual model proposed above, recovery ergonomics functions as a preventive design domain. By embedding structured restoration within organizational systems, the trajectory from sustained cognitive demand toward chronic strain may be interrupted. This orientation shifts the discussion of occupational health from reactive responses toward proactive design.

In essence, recovery ergonomics aims to prevent cognitive strain in the same general spirit that physical ergonomics aims to prevent musculoskeletal injury through adaptive design, while recognizing that the mechanisms and interventions differ. Conceptualizing recovery as a design domain extends the boundaries of ergonomics to better reflect the realities of knowledge-intensive and digitally mediated work.

6 Workplace design and policy implications

If cognitive overload is to be recognized as an ergonomic risk, the implications extend beyond theoretical acknowledgment. Cognitive sustainability needs to be integrated into organizational systems, leadership practices, and policy frameworks.

6.1 Job and task design

Job design can aim to reduce unnecessary extraneous cognitive demand. Task batching, reduced expectations of multitasking, and structured prioritization systems may reduce switching costs and attentional fragmentation. Clear role definitions and realistic performance goals may help mitigate decision density and ambiguity. Consistent with human-centered design principles, tasks may be structured around recognized cognitive capacities rather than assumed limitless flexibility.

Work allocation may also benefit from cognitive not solely quantitative considerations. Roles requiring sustained analytical reasoning, high-stakes decisions, or continuous digital surveillance may benefit from built-in recovery periods, analogous to scheduled rest periods in physically demanding work, while recognizing that the appropriate form and timing of cognitive recovery may differ from physical rest.

These recommendations have known limitations. Protected deep-work periods, for example, may be difficult to implement in client-facing or emergency-response roles where responsiveness is core to the work. In such contexts, recovery ergonomics may instead emphasize carefully designed handover practices, rotation, and team-level cover. Recommendations should also be adapted for individual differences: documented variation in working-memory capacity, cognitive flexibility, domain expertise, age-related cognitive changes, and neurodivergence implies that uniform schedules are best treated as starting points rather than fixed prescriptions.

6.2 Digital ergonomics

Digital architecture is a key intervention point. Notification systems may be designed to reduce persistent interruption for example, through default batching of non-urgent communications. Meeting hygiene policies, including timeboxing, agenda clarity, and protected no-meeting blocks, may reduce attentional fragmentation.

Organizational norms regarding after-hours communication may also benefit from review. Policies discouraging non-urgent digital communication outside designated working hours may support psychological detachment, a core component of recovery (Sonnentag, 2012; Sonnentag and Fritz, 2007). Such measures may support the re-establishment of work–nonwork boundaries in remote and hybrid settings.

Empirical evidence on the effects of such policies is mixed. Studies of right-to-disconnect arrangements have reported variable outcomes depending on implementation details, organizational culture, and enforcement (Sonnentag et al., 2022). Effects also vary by job role: some roles permit clear temporal boundaries, while others require continued availability. Policy design should therefore reflect contextual variation rather than assume uniform applicability.

Reducing meeting loads is similarly subject to displacement effects: reduced meeting time may be offset by increased asynchronous communication, with its own cognitive demands. Recovery ergonomics interventions are therefore most likely to be effective when designed as integrated bundles rather than as isolated changes.

6.3 Organizational culture and leadership

Leadership behavior is central to the normalization of recovery-supportive practices. When leaders model detachment, respect work–nonwork boundaries, and evaluate performance on outcomes rather than visible activity, recovery-supportive behavior is more likely to become culturally embedded.

Some high-performance cultures equate productivity with continuous activity. However, research consistently suggests that sustained cognitive demand without recovery is associated with longer-term reductions in effective performance (Hockey, 1997). Framing productivity as sustainable rather than maximal aligns organizational success with employee wellbeing.

6.4 Policy-level integration

At the policy level, occupational health frameworks may benefit from continued engagement with cognitive ergonomic risk. The ISO 10075 series including ISO 10075-1:2017 on general principles and concepts, ISO 10075-2:2000 on design principles, and ISO 10075-3:2004 on the measurement and assessment of mental workload have addressed mental workload since the 1990s [International Organization for Standardization (ISO), 2000, 2017a,b]. The argument advanced here is not that cognitive workload standards do not exist, but that their application to contemporary digitally mediated work contexts may benefit from extension, updating, and stronger integration into routine workplace risk assessment.

Operational parameters for such extended application may include, indicatively: maximum daily notification frequency thresholds; minimum uninterrupted work-block durations; maximum back-to-back meetings per day; thresholds for after-hours digital communication; and minimum protected focus-time allocations. These are presented as candidate starting points for operationalization; development and validation of standardized instruments and thresholds is identified as a research priority.

Cognitive overload may also be incorporated into existing occupational risk assessment instruments. Candidate ergonomic audit metrics include interruption density (digital interruptions per work hour), meeting load (proportion of hours in meetings), after-hours communication frequency, daily decision density, and availability of protected focus time. These metrics, used alongside validated workload scales, may help organizations evaluate cognitive risk in measurable terms.

Taken together, recovery ergonomics and organizational redesign suggest a preventive path. Recognizing cognitive overload as an ergonomic risk encourages a shift from individual coping models toward structural change, while retaining individual-level practices as complements rather than substitutes. Sustainable workplaces are designed with cognitive capacity in mind, with recovery integrated into working systems rather than added on.

7 Conclusion

This article has advanced three connected propositions. First, that cognitive workload, cognitive overload, mental fatigue, technostress, attentional fragmentation, and burnout are theoretically distinct constructs that warrant terminological care. Second, that cognitive overload, when it arises from work-system design, satisfies established definitional criteria for an ergonomic risk: it arises from a mismatch between system design and human capacity; it is associated with measurable performance impairment and health consequences; and it is preventable through redesign. Third, that recovery ergonomics the deliberate inclusion of structured restoration within organizational design constitutes a useful preventive orientation for contemporary digitally mediated work.

The theoretical contribution of the article lies in integrating Cognitive Load Theory, the Job Demands–Resources model, and Recovery Theory across individual, organizational, and temporal levels of analysis, and in introducing recovery ergonomics as a named design-level construct. Practically, the article suggests that organizations and policymakers may benefit from operationalizing cognitive risk alongside physical risk, extending existing instruments such as the ISO 10075 series to contemporary digital work conditions, and incorporating notification governance, meeting hygiene, and protected focus time into routine work design.

The wider implication is a shift in framing: from productivity defined by continuous activation toward cognitive sustainability; from burnout management toward proactive workload design; and from individually located resilience toward structurally located prevention. Such reframing is consistent with contemporary human-centered design principles and may contribute to a more comprehensive concept of workplace safety.

7.1 Limitations

Several limitations should be acknowledged. First, the framework presented here is conceptual rather than empirical and has not been validated through original primary data. It should be understood as a theoretical foundation for further research rather than a tested model. Second, the discussion focuses primarily on knowledge-intensive work; its applicability to physically intensive, manual, or service-sector roles requires separate examination. Third, the extension of Cognitive Load Theory from instructional contexts to occupational settings is heuristic and would benefit from further theoretical justification and empirical scrutiny. Fourth, recovery ergonomics requires further operationalization including validated indicators, thresholds, and intervention protocols before it can be applied robustly within organizations. Fifth, the proposed model integrates frameworks operating at different levels of analysis (individual, organizational, temporal); empirical operationalization may require level-specific measures, and cross-level relationships are treated here as open empirical questions.

7.2 Future research directions

Future research can usefully extend this work in several directions. First, longitudinal field studies are needed to examine the temporal dynamics of cognitive overload, recovery processes, and occupational health outcomes in naturalistic settings. Second, sector-specific validation studies particularly in healthcare, education, technology, and financial services could help establish the boundary conditions and contextual specificity of the framework. Third, the development and validation of ergonomic audit tools for cognitive risk, building indicators such as interruption density, meeting load, and after-hours communication frequency, would support practical application. Fourth, experimental evaluation of recovery ergonomics interventions including notification architecture changes, meeting hygiene policies, and protected deep-work protocols would help establish causal effects and identify scope conditions. Fifth, comparative studies across cultural, regulatory, and organizational contexts may clarify how recovery ergonomics interacts with national labor policy, workplace culture, and individual differences, including age, expertise, and neurodivergence.

Recognizing cognitive overload as a legitimate ergonomic risk does not imply reducing organizational ambition or productivity; it implies investing in sustainable human performance. Bringing cognitive overload into mainstream ergonomic frameworks is a meaningful step toward developing resilient, healthy, and high-functioning work systems for contemporary digitally mediated environments.

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Footnotes

Edited by: Gabriele Giorgi, European University of Rome, Italy

Reviewed by: Ochuko Orikpete, University of Port Harcourt Centre for Occupational Health Safety and Environment, Nigeria

Pankaj Thakur, ICFAI University, Himachal Pradesh, India