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The Impact of Different Human-Machine Interface Feedback Modalities on Older Participants’ User Experience of CAVs in a Simulator Environment

  • Iveta EimontaiteEmail author
  • Alexandra Voinescu
  • Chris Alford
  • Praminda Caleb-Solly
  • Phillip Morgan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 964)

Abstract

Rapidly developing Autonomous Vehicle (AV) technology has potential to provide solutions to some of the aging population challenges, such as social isolation resulting from an inability to be independently mobile. However for AVs success, users’ acceptance is essential. Fifteen participants (M 70 years) participated in an autonomous driving simulator trial with voice-based CAV status feedback in a decision-making scenario – whether to pick up a friend on the way. The within-subject conditions/journeys were: Audio feedback (Audio)/Pick-Up; Audio/No-Pick-Up; No-Audio/Pick-Up. Additionally, the effect of feedback during different external journey conditions was also considered, resulting in two between-subjects conditions – day and night travel. Participants physiological, cognitive and affective measures show greater situational awareness and workload ratings in the No-Audio/Pick-Up condition with increased Post-trial trust rating and overall higher positive affect. These results indicate that the greatest concentration was required in the no-sound condition, suggesting that sound/multimodal feedback improved ease of operation and journey experience.

Keywords

Connected Autonomous Vehicles Human-machine interaction Feedback modalities Older participants Hear rate Trust Task load 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Iveta Eimontaite
    • 1
    Email author
  • Alexandra Voinescu
    • 2
  • Chris Alford
    • 1
  • Praminda Caleb-Solly
    • 3
  • Phillip Morgan
    • 4
  1. 1.Faculty of Health and Applied SciencesUniversity of the West of EnglandBristolUK
  2. 2.Department of PsychologyUniversity of BathBathUK
  3. 3.Bristol Robotics Laboratory and Institute of Bio-Sensing TechnologiesUniversity of the West of EnglandBristolUK
  4. 4.School of PsychologyCardiff UniversityCardiffUK

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