Research on Personality Traits of In-Vehicle Intelligent Voice Assistants to Enhance Driving Experience

Despite the rapidly expanding research on in-car intelligent voice assistants, relatively little attention has been paid to the study of their personality traits and how to improve the user’s emotional experience by cutting through from this perspective. In this study, first, an exploratory interview-based study is conducted to identify key traits that elicit driver emotions and five personality traits that can be used in in-car intelligent voice assistants: emotional enrichment, emotional expressiveness, persona congruence, empathic expressiveness, and user impressions. Second, an online survey-based study is conducted to investigate how the above five performance dimensions that focus on the degree of personification of intelligent assistants can be incorporated into smart car voice interaction systems in different scenarios. Finally, the ideal use cases for each personality trait are investigated, as well as how in-car intelligent voice assistants can apply the corresponding trait dimensions according to the current real-time driving situation. This study explores how the five personality trait dimensions can enhance driving users’ emotional experience and emotional connection with intelligent voice assistants by adding a pleasant attitude, a sense of pleasure, and can accurately grasp users’ emotional state and provide proactive services conducive to emotional appeasement and safe driving in navigation.

• Record URL:
  • https://doi.org/10.1007/978-3-031-35678-0_15
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9783031356773
• Supplemental Notes:
  • © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.
• Corporate Authors:

  Springer Nature Switzerland

  ,    
• Authors:
  • Zhou, Xinyi
  • Zheng, Yangshuo
• Conference:
  • 25th HCI International Conference (HCII 2023)
  • Location: Copenhagen , Denmark
  • Date: 2023-7-23 to 2023-7-28
• Publication Date: 2023

Language

• English

Media Info

• Media Type: Web
• Edition: 1
• Features: References;
• Pagination: pp 236-244
• Monograph Title: HCI in Mobility, Transport, and Automotive Systems: 5th International Conference, MobiTAS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings, Part I
• Serial:
  • Lecture Notes in Computer Science
  • Volume: 14048
  • Publisher: Springer Cham
  • ISSN: 0302-9743
  • Serial URL: https://www.springer.com/series/558

Subject/Index Terms

• TRT Terms: Driver experience; Driver support systems; Emotions; Intelligent agents; Interactive computer systems; Interviewing; Personality; Surveys
• Identifier Terms: Big Five Personality Traits
• Subject Areas: Data and Information Technology; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01941420
• Record Type: Publication
• ISBN: 9783031356773
• Files: TRIS
• Created Date: Dec 30 2024 11:16AM