Dynamic Workload Fluctuations in Driver/Non-Driver Conversational DYADS | Zendy

David L. Strayer | Zendy; Francesco Biondi | Zendy; Joel M. Cooper | Zendy

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Dynamic Workload Fluctuations in Driver/Non-Driver Conversational DYADS

Author(s) -

David L. Strayer,

Francesco Biondi,

Joel M. Cooper

Publication year - 2017

Language(s) - English

Resource type - Conference proceedings

DOI - 10.17077/drivingassessment.1659

Subject(s) - workload , phone , conversation , active listening , task (project management) , computer science , driving simulator , speech recognition , human–computer interaction , simulation , engineering , psychology , communication , philosophy , linguistics , systems engineering , operating system

We developed a new method for simultaneously assessing the workload of a driver and a non-driver engaged in natural conversation either in the vehicle or over a cell phone. For both the driver and non-driver, talking was found to be more demanding than listening and the pattern was identical for both passenger conversations and cell phone conversations. Operating the vehicle increased the workload for the driver over and above the conversation task. The effects of driving (or not) and talking (or not) were found to be additive. The data reveal a pattern of dynamic fluctuation in workload in driver/non-driver conversational dyads.

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