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

Iveta Eimontaite, Alexandra Voinescu, Chris Alford, Praminda Caleb-Solly, Phillip Morgan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Human Factors of Transportation - Proceedings of the AHFE 2019 International Conference on Human Factors in Transportation
EditorsNeville Stanton
PublisherSpringer Verlag
Pages120-132
Number of pages13
ISBN (Print)9783030205027
DOIs
Publication statusPublished - 1 Jan 2020
EventAHFE International Conference on Human Factors in Transportation, 2019 - Washington D.C., USA United States
Duration: 24 Jul 201928 Jul 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume964
ISSN (Print)2194-5357

Conference

ConferenceAHFE International Conference on Human Factors in Transportation, 2019
CountryUSA United States
CityWashington D.C.
Period24/07/1928/07/19

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Eimontaite, I., Voinescu, A., Alford, C., Caleb-Solly, P., & Morgan, P. (2020). The Impact of Different Human-Machine Interface Feedback Modalities on Older Participants’ User Experience of CAVs in a Simulator Environment. In N. Stanton (Ed.), Advances in Human Factors of Transportation - Proceedings of the AHFE 2019 International Conference on Human Factors in Transportation (pp. 120-132). (Advances in Intelligent Systems and Computing; Vol. 964). Springer Verlag. https://doi.org/10.1007/978-3-030-20503-4_11