Driving with voices: how virtual agent affects driver stress and performance

Zhao Zou, Fady Alnajjar, Michael Lwin, Aila Khan Khan, Abdullah Al Mahmud, Omar Mubin

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

Auditory features like voice pitch and speech style significantly influence human-computer interaction, especially in driving where voice assistants provide real-time guidance. This study examined how two voice pitches (Alto and Bass) and two speech styles (Casual and Frozen) affected drivers' cognitive and emotional responses. Eighty-four participants in a driving simulator received voice reminders from an assistant with varied auditory features while stress, heart rate variability, emotions, and task performance were recorded. Cognitive load was assessed using the NASA-TLX questionnaire. Results showed that the Frozen speech style combined with Alto pitch triggered higher stress and cognitive load, while speech style had a stronger effect than pitch on emotions. These insights aid in designing user-friendly voice assistants that reduce driver stress and improve safety. Future studies should investigate long-term effects and individual auditory differences.

Original languageEnglish
Title of host publicationProceedings of the 13th International Conference on Human-Agent Interaction (HAI 2025), November 10-13, 2025, Yokohama, Japan
Place of PublicationU.S.
PublisherAssociation for Computing Machinery
Pages479-481
Number of pages3
ISBN (Electronic)9798400721786
DOIs
Publication statusPublished - 2025
EventInternational Conference on Human-Agent Interaction - Keio University, Yokohama, Japan
Duration: 10 Nov 202513 Nov 2025
Conference number: 13th

Conference

ConferenceInternational Conference on Human-Agent Interaction
Abbreviated titleHAI
Country/TerritoryJapan
CityYokohama
Period10/11/2513/11/25

Keywords

  • cognitive load
  • human-computer interaction
  • voiced virtual agents
  • Voiced-based driving assistants

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