A Surrogate Test for Cognitive Demand: Tactile Detection Response Task (TDRT)

2015 ◽  
Author(s):  
Li Hsieh ◽  
Sean Seaman ◽  
Richard Young
Keyword(s):  
Cognitive Demand ◽  
Detection Response ◽  
Tactile Detection ◽  
Response Task

Tactile detection response task: Metrics for assessing drivers’ cognitive workload

2020 ◽  
Vol 70 ◽  
pp. 98-108
Author(s):  
Huizhong Guo ◽  
Linda Ng Boyle ◽  
James W. Jenness ◽  
John D. Lee
Keyword(s):  
Cognitive Workload ◽  
Detection Response ◽  
Tactile Detection ◽  
Response Task

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

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.

Linking the Detection Response Task and the AttenD Algorithm Through Assessment of Human–Machine Interface Workload

2017 ◽  
Vol 2663 (1) ◽  
pp. 82-89 ◽  
Author(s):  
Joonbum Lee ◽  
Ben D. Sawyer ◽  
Bruce Mehler ◽  
Linda Angell ◽  
Bobbie D. Seppelt ◽  
...  
Keyword(s):  
Human Machine Interface ◽  
Machine Interface ◽  
Detection Response ◽  
Response Task
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