Exploring the effectiveness of a digital voice assistant to maintain driver alertness in partially automated vehicles.
Objective: Vehicle automation shifts the driver's role from active operator to passive observer at the potential cost of degrading their alertness. This study investigated the role of an in-vehicle voice-based assistant (VA; conversing about traffic/road environment) to counter the disengaging and f...
| Publicado en: | Traffic Injury Prevention Vol. 22; no. 5; pp. 378 - 384 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=150798134&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 150798134 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15389588 RGF jtl: Traffic Injury Prevention issn: 15389588 maglogo: Y pubinfo: dt: 2021 vid: 22 iid: 5 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 150798134 149917220 150798134 NLM33881365 150798134 10.1080/15389588.2021.1904138 NLM33881365 150798134 ppf: 378 ppct: 6 formats: tig: atl: Exploring the effectiveness of a digital voice assistant to maintain driver alertness in partially automated vehicles. aug: au: Mahajan, Kirti Large, David R. Burnett, Gary Velaga, Nagendra R. affil: Transportation Systems Engineering, Indian Institute of Technology, Mumbai, India sug: subj: Attention Automobile Driving Psychosocial Factors Task Performance and Analysis Automation Accidents, Traffic Psychosocial Factors Human Male Case Control Studies Fatigue Psychosocial Factors Wakefulness Adult Computer Simulation Comparative Studies Multicenter Studies Evaluation Research Validation Studies Scales Adult: 19-44 years Male ab: Objective: Vehicle automation shifts the driver's role from active operator to passive observer at the potential cost of degrading their alertness. This study investigated the role of an in-vehicle voice-based assistant (VA; conversing about traffic/road environment) to counter the disengaging and fatiguing effects of automation.Method: Twenty-four participants undertook two drives- with and without VA in a partially automated vehicle. Participants were subsequently categorized into high and low participation groups (based on their proportion of vocal exchanges with VA). The effectiveness of VA was assessed based on driver alertness measured using Karolinska Sleepiness Scale (KSS), eye-based sleepiness indicators and glance behavior, NASA-TLX workload rating and time to gain motor readiness in response to take-over request and performance rating made by the drivers.Results: Paired samples t-tests comparison of alertness measures across the two drives were conducted. Lower KSS rating, larger pupil diameter, higher glances (rear-mirror, roadside vehicles and signals in the drive with VA) and higher feedback ratings of VA indicated the efficiency of VA in improving driver alertness during automation. However, there was no significant difference in alertness or glance behavior between the driver groups (high and low-PR), although the time to resume steering control was significantly lower in the higher engagement group.Conclusion: The study successfully demonstrated the advantages of using a voice assistant (VA) to counter these effects of passive fatigue, for example, by reducing the time to gain motor-readiness following a TOR. The findings show that despite the low engagement in spoken conversation, active listening also positively influenced driver alertness and awareness during the drive in an automated vehicle. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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