Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue
Using a Wizard-of-Oz approach, we explored the effectiveness of engaging drivers in conversation with a digital assistant as an operational strategy to combat the symptoms of passive task-related fatigue. Twenty participants undertook two 30-minute drives in a medium-fidelity driving simulator betwe...
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| Format: | Article |
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Institution of Engineering and Technology
2018
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| Online Access: | https://eprints.nottingham.ac.uk/50351/ |
| _version_ | 1848798229260402688 |
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| author | Large, David R. Burnett, Gary Antrobus, Vicki Skrypchuk, Lee |
| author_facet | Large, David R. Burnett, Gary Antrobus, Vicki Skrypchuk, Lee |
| author_sort | Large, David R. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Using a Wizard-of-Oz approach, we explored the effectiveness of engaging drivers in conversation with a digital assistant as an operational strategy to combat the symptoms of passive task-related fatigue. Twenty participants undertook two 30-minute drives in a medium-fidelity driving simulator between 13:00 and 16:30, when circadian and homeostatic influences naturally reduce alertness. Participants were asked to follow a lead-car travelling at a constant speed of 68mph, in a sparsely-populated UK motorway scenario. During one of the counterbalanced drives, participants were engaged in conversation by a digital assistant (‘Vid’). Results show that interacting with Vid had a positive effect on driving performance and arousal, evidenced by better lane-keeping, earlier response to a potential hazard situation, larger pupil diameter, and an increased spread of attention to the road-scene (i.e. fewer fixations concentrated on the road-centre indicating a lower incidence of ‘cognitive tunnelling’). Drivers also reported higher levels of alertness and lower sleepiness following the Vid drive. Subjective workload ratings suggest that drivers exerted less effort to ‘stay awake’ when engaged with Vid. The findings support the development and application of in-vehicle natural language interfaces, and can be used to inform the design of novel countermeasures for driver fatigue. |
| first_indexed | 2025-11-14T20:16:27Z |
| format | Article |
| id | nottingham-50351 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:16:27Z |
| publishDate | 2018 |
| publisher | Institution of Engineering and Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-503512020-05-04T19:48:54Z https://eprints.nottingham.ac.uk/50351/ Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue Large, David R. Burnett, Gary Antrobus, Vicki Skrypchuk, Lee Using a Wizard-of-Oz approach, we explored the effectiveness of engaging drivers in conversation with a digital assistant as an operational strategy to combat the symptoms of passive task-related fatigue. Twenty participants undertook two 30-minute drives in a medium-fidelity driving simulator between 13:00 and 16:30, when circadian and homeostatic influences naturally reduce alertness. Participants were asked to follow a lead-car travelling at a constant speed of 68mph, in a sparsely-populated UK motorway scenario. During one of the counterbalanced drives, participants were engaged in conversation by a digital assistant (‘Vid’). Results show that interacting with Vid had a positive effect on driving performance and arousal, evidenced by better lane-keeping, earlier response to a potential hazard situation, larger pupil diameter, and an increased spread of attention to the road-scene (i.e. fewer fixations concentrated on the road-centre indicating a lower incidence of ‘cognitive tunnelling’). Drivers also reported higher levels of alertness and lower sleepiness following the Vid drive. Subjective workload ratings suggest that drivers exerted less effort to ‘stay awake’ when engaged with Vid. The findings support the development and application of in-vehicle natural language interfaces, and can be used to inform the design of novel countermeasures for driver fatigue. Institution of Engineering and Technology 2018-08-31 Article PeerReviewed Large, David R., Burnett, Gary, Antrobus, Vicki and Skrypchuk, Lee (2018) Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue. IET Intelligent Transport Systems, 12 (6). pp. 420-426. ISSN 1751-9578 Driver information systems; Natural language interfaces http://digital-library.theiet.org/content/journals/10.1049/iet-its.2017.0201 doi:10.1049/iet-its.2017.0201 doi:10.1049/iet-its.2017.0201 |
| spellingShingle | Driver information systems; Natural language interfaces Large, David R. Burnett, Gary Antrobus, Vicki Skrypchuk, Lee Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue |
| title | Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue |
| title_full | Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue |
| title_fullStr | Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue |
| title_full_unstemmed | Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue |
| title_short | Driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue |
| title_sort | driven to discussion: engaging drivers in conversation with a digital assistant as a countermeasure to passive task-related fatigue |
| topic | Driver information systems; Natural language interfaces |
| url | https://eprints.nottingham.ac.uk/50351/ https://eprints.nottingham.ac.uk/50351/ https://eprints.nottingham.ac.uk/50351/ |