scholarly journals Relating the Detection Response Task to Critical Events – Consequences of high Cognitive Workload to Brake Reaction Times

2015 ◽  
Vol 3 ◽  
pp. 2381-2386 ◽  
Author(s):  
Odette Mantzke ◽  
Andreas Keinath
Keyword(s):  
Reaction Times ◽  
Cognitive Workload ◽  
Critical Events ◽  
Detection Response ◽  
Response Task

Individual Differences and Detection Response Task Reaction Times

2018 ◽  
pp. 253-254
Author(s):  
Antonia S. Conti ◽  
Moritz Späth ◽  
Klaus Bengler
Keyword(s):  
Individual Differences ◽  
Reaction Times ◽  
Detection Response ◽  
Response Task

Utilizing a Remote LED Stimulus to Concurrently Measure Cognitive and Visual Task Demand

2018 ◽  
Vol 62 (1) ◽  
pp. 1-5
Author(s):  
Conner J. Motzkus ◽  
Douglas J. Getty ◽  
Andrea Campos ◽  
Joel M. Cooper ◽  
David L. Strayer
Keyword(s):  
Reaction Times ◽  
Cost Effective ◽  
Task Demand ◽  
Secondary Tasks ◽  
Single Task ◽  
Iso Standard ◽  
Hit Rate ◽  
Detection Response ◽  
Response Task ◽  
Sensitive Method

The ISO 17488 standard Detection Response Task (DRT) has been validated as an effective tool for measuring fluctuations in cognitive workload while driving and performing secondary tasks. This research evaluated the possibility of consolidating a dual stimulus DRT to a single remote LED stimulus to concurrently measure visual and cognitive demand. Hit rate and reaction times to a remote LED stimulus and an ISO standard vibrotactor stimulus were compared for three in-vehicles tasks: a single task baseline, a cognitively demanding task, and a visually demanding task. Analyses showed that the remote LED and vibrotactor were equally sensitive to cognitive load, while the remote LED was more sensitive to visual load. We suggest the remote LED DRT system serves as a cost-effective, practical, sensitive method to concurrently assess cognitive and visual demand.

The Effects of Cognitive and Visual Workload on Peripheral Detection in the Detection Response Task

2018 ◽  
Vol 60 (6) ◽  
pp. 855-869 ◽  
Author(s):  
Wim van Winsum
Keyword(s):  
Cognitive Load ◽  
Driving Simulator ◽  
Response Times ◽  
Cognitive Task ◽  
Theory Development ◽  
Reaction Times ◽  
Task Load ◽  
Detection Response ◽  
Response Task ◽  
Stimulus Eccentricity

Objective: The independent effects of cognitive and visual load on visual Detection Response Task (vDRT) reaction times were studied in a driving simulator by performing a backwards counting task and a simple driving task that required continuous focused visual attention to the forward view of the road. The study aimed to unravel the attentional processes underlying the Detection Response Task effects. Background: The claim of previous studies that performance degradation on the vDRT is due to a general interference instead of visual tunneling was challenged in this experiment. Method: vDRT stimulus eccentricity and stimulus conspicuity were applied as within-subject factors. Results: Increased cognitive load and visual load both resulted in increased response times (RTs) on the vDRT. Cognitive load increased RT but revealed no task by stimulus eccentricity interaction. However, effects of visual load on RT showed a strong task by stimulus eccentricity interaction under conditions of low stimulus conspicuity. Also, more experienced drivers performed better on the vDRT while driving. Conclusion: This was seen as evidence for a differential effect of cognitive and visual workload. The results supported the tunnel vision model for visual workload, where the sensitivity of the peripheral visual field reduced as a function of visual load. However, the results supported the general interference model for cognitive workload. Application: This has implications for the diagnosticity of the vDRT: The pattern of results differentiated between visual task load and cognitive task load. It also has implications for theory development and workload measurement for different types of tasks.

Voice Control Tasks on Cognitive Workload and Driving Performance: Implications of Modality, Difficulty, and Duration

2018 ◽  
Vol 2672 (37) ◽  
pp. 84-93 ◽  
Author(s):  
Erika E. Miller ◽  
Linda Ng Boyle ◽  
James W. Jenness ◽  
John D. Lee
Keyword(s):  
Standard Deviation ◽  
Driving Simulator ◽  
Driving Performance ◽  
Analysis Of Covariance ◽  
Cognitive Workload ◽  
Vehicle Speed ◽  
Task Duration ◽  
Voice Control ◽  
Detection Response ◽  
Response Task

The effects of an in-vehicle voice control system (VCS) on cognitive workload and driving performance were evaluated using a driving simulator study with 24 participants. Participants were asked to perform two types of in-vehicle tasks while driving: voice-command based radio and navigation tasks. The tasks were of two difficulty levels (easy, hard) with half of the tasks audio only and the other half audio with a visual display. Cognitive workload was measured using a tactile detection response task (TDRT) and a revised remote detection response task (RDRT). Driving performance was measured using standard deviation of lateral position (SDLP) and standard deviation of vehicle speed. An analysis of covariance for standard deviation of speed was used to examine the effects of VCS display with task duration as the covariate. Three separate mixed models were used to evaluate the variation in SDLP, response time, and misses given VCS tasks and detection response task (DRT) type. No significant differences were observed between TDRT and RDRT, suggesting both methods capture congruent measures of workload and that neither interfere with driving performance. Engagement with each hybrid VCS task was significantly associated with an increase in DRT misses above baseline driving. Additionally, hybrid display tasks had larger variations in vehicle speed and were completed more quickly than equivalent audio only tasks. Increasing values of task duration were associated with greater variation in lateral vehicle position. The results of this study suggest that design of VCSs should consider the modality, temporal components, and difficulty of tasks to reduce cognitive load.

scholarly journals The effects of increased visual information on cognitive workload in a helicopter simulator

2019 ◽  
Author(s):  
Reilly James Innes ◽  
Zachary L Howard ◽  
Alexander Thorpe ◽  
Ami Eidels ◽  
Scott Brown
Keyword(s):  
Environmental Conditions ◽  
Visual Information ◽  
Minor Effect ◽  
Cognitive Workload ◽  
Flight Behaviour ◽  
Effective Measure ◽  
Amount Of Information ◽  
Detection Response ◽  
Response Task ◽  
A Minor

Objective: To test the effects of enhanced display information ("symbology") on cognitive workload in a simulated helicopter environment, using the Detection Response Task (DRT). Background: Workload in highly demanding environments can be influenced by the amount of information given to the operator and consequently it is important to limit potential overload. Methods: Participants (highly trained military pilots) completed simulated helicopter flights, which varied visual conditions and the amount of information given. During these flights participants also completed a DRT as a measure of cognitive workload. Results: With more visual information available, pilots landing accuracy was improved across environmental conditions. The DRT is sensitive to changes in cognitive workload, with workload differences shown between environmental conditions. Increasing symbology appeared to have a minor effect on workload, with an interaction effect of symbology and environmental condition showing that symbology appeared to moderate workload. Conclusion: The DRT is a useful workload measure in simulated helicopter settings. The level of symbology moderated pilot workload. The increased level of symbology appeared to assist pilots flight behaviour and landing ability. Results indicate that increased symbology has benefits in more difficult scenarios. \textbf{Applications:} The detection response task is an easily implemented and effective measure of cognitive workload in a variety of settings. In the current experiment, the DRT captures the increased workload induced by varying the environmental conditions, and provides evidence for the use of increased symbology to assist pilots.

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

2020 ◽  
pp. 001872082093680
Author(s):  
Reilly J. Innes ◽  
Nathan J. Evans ◽  
Zachary L. Howard ◽  
Ami Eidels ◽  
Scott D. Brown
Keyword(s):  
Cognitive Psychology ◽  
Cognitive Load ◽  
Psychological Research ◽  
Cognitive Tasks ◽  
Cognitive Workload ◽  
Online Environment ◽  
Online Delivery ◽  
Detection Response ◽  
Online Environments ◽  
Response Task

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.

scholarly journals A broader application of the detection response task to cognitive tasks and online environments

2019 ◽  
Author(s):  
Reilly James Innes ◽  
Nathan J. Evans ◽  
Zachary L Howard ◽  
Ami Eidels ◽  
Scott Brown
Keyword(s):  
Cognitive Load ◽  
Object Tracking ◽  
Multiple Object Tracking ◽  
Tracking Task ◽  
Cognitive Tasks ◽  
Cognitive Workload ◽  
Multiple Object ◽  
Detection Response ◽  
Online Environments ◽  
Response Task

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 fatigue and phone usage on driving. Given its success in applied tasks, we investigated whether the DRT could be used to measure cognitive workload in cognitive 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 task while simultaneously performing a DRT. We manipulated the cognitive load of the multiple object tracking task by changing the number of dots to be tracked. 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 (with our code for the online DRT implementation being freely available at \url{https://osf.io/dc39s/}), though to a reduced extent compared to the in-lab situation, opening up the potential use of the DRT to a much greater range of tasks and situations, but suggesting that in-lab applications are best when possible.

The Effects of Practice on Navigation Performance and Mental Workload with a Mirror-In-The-Sky Map

2021 ◽  
Vol 65 (1) ◽  
pp. 1546-1550
Author(s):  
Holland M. Vasquez ◽  
Justin G. Hollands ◽  
Greg A. Jamieson
Keyword(s):  
Task Performance ◽  
Secondary Task ◽  
Mental Workload ◽  
Task Completion ◽  
Practice Performance ◽  
Global Ratings ◽  
Detection Response ◽  
Nasa Tlx ◽  
Response Task ◽  
Completion Times

Some previous research using a new augmented reality map display called Mirror-in-the-Sky (MitS) showed that performance was worse and mental workload (MWL) greater with MitS relative to a track-up map for navigation and wayfinding tasks. The purpose of the current study was to determine—for both MitS and track-up map—how much performance improves and MWL decreases with practice in a simple navigation task. We conducted a three-session experiment in which twenty participants completed a route following task in a virtual environment. Task completion times and collisions decreased, subjective MWL decreased, and secondary task performance improved with practice. The NASA-TLX Global ratings and Detection Response Task Hit Rates showed a larger decrease in MWL with MitS than the track-up map. Additionally, means for performance and workload measures showed that differences between the MitS and track-up map decreased in the first session. In later sessions the differences between the MitS and track-up map were negligible. As such, with practice performance and MWL may be comparable to a traditional track-up map.

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