Monitors vs. Smart Glasses: A Study on Cognitive Workload of Digital Information Systems on Forklift Trucks

Gross, Benno; Bretschneider-Hagemes, Michael; Stefan, Andreas; Rissler, Jörg

doi:10.1007/978-3-319-91397-1_46

Cited by 9 publications

(6 citation statements)

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“…The DRT has been used effectively in driving research to demonstrate the distracting effects of secondary tasks such as mobile phone usage (Strayer et al, 2015, Strayer et al, 2017, Strayer et al, 2019, Strayer et al, 2013), talking to passengers (Strayer et al, 2015; Tillman et al, 2017), as well as the workload induced by interacting with in-vehicle information systems (Coleman et al, 2016; Strayer et al, 2019; Strayer et al, 2016), and many other examples. Other uses of the DRT outside of driving contexts also exist, such as evaluating user interfaces for forklift operators (Gross et al, 2018), assessing game design (Thorpe et al, 2019), evaluating helicopter pilot information displays (Innes et al, 2019), and evaluating group workload (Xie et al, 2016). These studies highlight the potential of the DRT to provide benefits beyond its usual application in driving research.…”

Section: Introductionmentioning

confidence: 99%

A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments

et al. 2020

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Objective The present research applied a well-established measure of cognitive workload in driving literature to an in-lab paradigm. We then extended this by comparing the in-lab version of the task to an online version. Background The accurate and objective measurement of cognitive workload is important in many aspects of psychological research. The detection response task (DRT) is a well-validated method for measuring cognitive workload that has been used extensively in applied tasks, for example, to investigate the effects of phone usage or passenger conversation on driving, but has been used sparingly outside of this field. Method The study investigated whether the DRT could be used to measure cognitive workload in tasks more commonly used in experimental cognitive psychology and whether this application could be extended to online environments. We had participants perform a multiple object tracking (MOT) task while simultaneously performing a DRT. We manipulated the cognitive load of the MOT task by changing the number of dots to be tracked. Results Measurements from the DRT were sensitive to changes in the cognitive load, establishing the efficacy of the DRT for experimental cognitive tasks in lab-based situations. This sensitivity continued when applied to an online environment (our code for the online DRT implementation is freely available at https://osf.io/dc39s/ ), though to a reduced extent compared to the in-lab situation. Conclusion The MOT task provides an effective manipulation of cognitive workload. The DRT is sensitive to changes in workload across a range of settings and is suitable to use outside of driving scenarios, as well as via online delivery. Application Methodology shows how the DRT could be used to measure sources of cognitive workload in a range of human factors contexts.

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Section: Introductionmentioning

confidence: 99%

A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments

et al. 2020

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“…In addition, these technologies are also associated with organizational hazards, mainly related to the varying lighting conditions of the workplace, which may cause, for instance, eye dryness [56], glare damages [59], and visual discomfort due to the need to adjust to the different light levels [56]. As far as organizational hazards are concerned, the extended use AR and VR devices may lead to discomfort [55,56,60], eye fatigue [45,55,56,[58][59][60], nausea, dizziness, disorientation, motion sickness, headache [10,25,29,30], social isolation [35,61,62], increased heartbeat and breathing rate [58], as well as gastric damage [58,63], damages caused by distraction [45,54,58,64] and unpredictable long-term musculoskeletal consequences [56,64]. Furthermore, the significant information load may lead to damages caused by cognitive overload [59,[64][65][66]; screen latency, i.e., the difference between the operator's head movement and the image display on the screen, may provoke headaches [55,57,58]; while the overlap between virtual images and real objects may cause eye fatigue due to the different focal lengths [56,58].…”

Section: Ar/vrmentioning

confidence: 99%

“…As far as organizational hazards are concerned, the extended use AR and VR devices may lead to discomfort [55,56,60], eye fatigue [45,55,56,[58][59][60], nausea, dizziness, disorientation, motion sickness, headache [10,25,29,30], social isolation [35,61,62], increased heartbeat and breathing rate [58], as well as gastric damage [58,63], damages caused by distraction [45,54,58,64] and unpredictable long-term musculoskeletal consequences [56,64]. Furthermore, the significant information load may lead to damages caused by cognitive overload [59,[64][65][66]; screen latency, i.e., the difference between the operator's head movement and the image display on the screen, may provoke headaches [55,57,58]; while the overlap between virtual images and real objects may cause eye fatigue due to the different focal lengths [56,58]. Similarly, the difference between virtual images and the real world may reduce the operators' movement coordination [57,58].…”

Section: Ar/vrmentioning

confidence: 99%

“…Finally, psychological hazards should be taken into account as well. Operators may grow accustomed to employ such technologies, thus developing a form of addiction and separation anxiety [45,57], while the excessive physical and mental load can cause technostress [45,58,[64][65][66]68], and the frequent use of technological devices may lead to social isolation [10,35].…”

Section: Ar/vrmentioning

confidence: 99%

“…Cognitive overload [59,[64][65][66] Latency of the screens (images adjust slowly in response to the operator's head movement)…”

Section: Significant Information Loadmentioning

confidence: 99%

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New and Emerging Hazards for Health and Safety within Digitalized Manufacturing Systems

et al. 2021

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The Fourth Industrial Revolution is radically reshaping the procedures and the manufacturing environments through the digitalization process. The digitalization process can change according to the context and to specific solutions, and it is able to modify manufacturing systems and production areas. All the employees are directly affected by the transformation of the working environment, manufacturing tools, and working conditions and by the increasing need for new competencies. In this context, it is crucial to identify new and emerging hazards concerning the health and safety of the employees to ensure a conscious and safe digital transformation for everyone involved. In this regard, the paper presents the state of the research and defines seven areas of interest for a safe and harmless digital transformation for the employees, drawing attention to the hazards in the different technological areas. The state of the research unveils the absence of detailed analysis to identify specific hazards of 4.0 technologies. Therefore, every specific 4.0 technologies is analyzed by an extensive review to provide a comprehensive matrix of new and emerging hazards for health and safety within digitalized manufacturing systems. The results can help manufacturing organizations to perform robust risk assessments for worker when introducing specific 4.0 technologies.

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Documentation Tasks with Tablet or Smartphone in the Workplace: A Study with Respect to OSH

Tegtmeier

Adomeit

Wischniewski

2020

Human-Computer Interaction. Design and User Experience

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Monitors vs. Smart Glasses: A Study on Cognitive Workload of Digital Information Systems on Forklift Trucks

Cited by 9 publications

References 1 publication

A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments

A Broader Application of the Detection Response Task to Cognitive Tasks and Online Environments

New and Emerging Hazards for Health and Safety within Digitalized Manufacturing Systems

Documentation Tasks with Tablet or Smartphone in the Workplace: A Study with Respect to OSH

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