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Speech Feedback Reduces Driver Distraction Caused by In-vehicle Visual Interfaces

Published: 04 October 2016 Publication History

Abstract

Driver distraction and inattention are the main causes of accidents today and one way for vehicle manufacturers to address this problem may be to replace or complement visual information in in-vehicle interfaces with auditory displays. In this paper, we address the specific problem of giving text input to an interface while driving. We test whether the handwriting input method, which previously has been shown to be promising in terms of reducing distraction, can be further improved by adding speech feedback. A driving simulator study was carried out in which 11 persons, (3 female) drove in two different scenarios (curvy road and straight motorway) while performing three different handwriting text input tasks. Glance behavior was measured using a head mounted eyetracker, and subjective responses were also acquired. ANOVA Analysis revealed that speech feedback resulted in less distraction as measured by total glance time compared to the baseline condition (no speech). There were however also interaction effects which indicated that the positive effect of speech feedback were not as prominent for the curvy road scenario. Post-experiment interviews nonetheless showed that the participants felt as if the speech feedback made the text input task safer, and also that they preferred speech feedback over no speech.

References

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  • (2024)Pairing in-vehicle intelligent agents with different levels of automation: implications from driver attitudes, cognition, and behaviors in automated vehiclesHuman–Computer Interaction10.1080/07370024.2024.2341217(1-31)Online publication date: 18-Apr-2024
  1. Speech Feedback Reduces Driver Distraction Caused by In-vehicle Visual Interfaces

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    cover image ACM Other conferences
    AM '16: Proceedings of the Audio Mostly 2016
    October 2016
    285 pages
    ISBN:9781450348225
    DOI:10.1145/2986416
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 04 October 2016

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    Author Tags

    1. Auditory displays
    2. Commercial Vehicles
    3. Driver Distraction
    4. Driver-Vehicle Interfaces
    5. Eye tracking
    6. Spearcons
    7. Speech feedback
    8. Texting

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    AM '16
    AM '16: Audio Mostly 2016
    October 4 - 6, 2016
    Norrköping, Sweden

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    AM '16 Paper Acceptance Rate 40 of 53 submissions, 75%;
    Overall Acceptance Rate 177 of 275 submissions, 64%

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    • (2024)Pairing in-vehicle intelligent agents with different levels of automation: implications from driver attitudes, cognition, and behaviors in automated vehiclesHuman–Computer Interaction10.1080/07370024.2024.2341217(1-31)Online publication date: 18-Apr-2024

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