scholarly journals Comparison of Static and Driving Simulator Venues for the Tactile Detection Response Task

2013 ◽  
Author(s):  
Johan Engström ◽  
Pontus Larsson ◽  
Christian Larsson
Keyword(s):  
Driving Simulator ◽  
Detection Response ◽  
Tactile Detection ◽  
Response Task

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.

Optic Flow and Tunnel Vision in the Detection Response Task

2019 ◽  
Vol 61 (6) ◽  
pp. 992-1003 ◽  
Author(s):  
Wim van Winsum
Keyword(s):  
Cognitive Load ◽  
Optic Flow ◽  
Driving Simulator ◽  
Autonomous Driving ◽  
Tunnel Vision ◽  
Driving Task ◽  
Detection Response ◽  
Response Task ◽  
Stimulus Eccentricity ◽  
Visual Cognitive

Objective:In a driving simulator, a backwards counting task, a simple steering task, and a fully autonomous driving task were applied to study the independent effects of cognitive load, visual-cognitive-manual load, and optic flow on visual detection response task (vDRT) performance. The study was designed to increase the understanding of the processes underlying vDRT effects.Background:The tunnel vision effect induced by a “steering while driving” task found in a previous study was investigated further in this experiment.Method:Stimulus eccentricity and conspicuity were applied as within-subjects factors.Results:Cognitive load, visual-cognitive-manual load, and optic flow all resulted in increased vDRT response time (RT). Cognitive load and visual-cognitive-manual load both increased RT but revealed no interaction of task by stimulus eccentricity. However, optic flow resulted in a task by stimulus eccentricity interaction on vDRT RT that was evidence of a tunnel vision effect.Conclusion:The results suggested that optic flow may be a factor responsible for tunnel vision while driving, although this does not support the tunnel vision model because it is unrelated to workload. However, the results supported the general interference model for cognitive workload.Application:The results have implications for the diagnosticity of the vDRT. During driving tasks, tunnel vision effects may occur as a result of optic flow, and these effects are unrelated to workload.

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.

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
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