Detection Response Tasks: Using Remote, Headmounted and Tactile Signals to Assess Cognitive Demand While Driving | Zendy

Joanne L. Harbluk | Zendy; Peter C. Burns | Zendy; Jane Tam | Zendy; Viliam Glazduri | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Detection Response Tasks: Using Remote, Headmounted and Tactile Signals to Assess Cognitive Demand While Driving

Author(s) -

Joanne L. Harbluk,

Peter C. Burns,

Jane Tam,

Viliam Glazduri

Publication year - 2013

Language(s) - English

Resource type - Conference proceedings

DOI - 10.17077/drivingassessment.1470

Subject(s) - distraction , task (project management) , computer science , cognition , cognitive load , human–computer interaction , driving simulator , task analysis , work (physics) , interface (matter) , simulation , engineering , psychology , cognitive psychology , systems engineering , neuroscience , mechanical engineering , bubble , maximum bubble pressure method , parallel computing

Three versions of the Detection Response Task (DRT) were evaluated and compared as methods to assess cognitive demand while driving. Participants performed tasks known to manipulate cognitive demand (N_Back tasks) and real-world cognitive demand tasks using the iPhone interface, Siri, while driving a simulator. The Remote DRT, the Head Mounted DRT and the Tactile DRT were all sensitive to task demands but advantages were found to using the newer versions for the assessment of cognitive distraction. This work is part of an international collaborative research effort to standardize the DRT (ISO WD17488).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research