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Driving With Empathy: Understanding Novice Drivers’ Emotional Needs in Interaction With In-Vehicle AI Systems

Research output: Chapter in book / Conference proceedingChapter in an edited book (as author)Academic researchpeer-review

Abstract

As artificial intelligence (AI) becomes increasingly embedded in intelligent vehicles, emotion-aware human–vehicle interaction (HVI) systems have the potential to support drivers not only functionally but also emotionally. However, most existing in-vehicle AI systems are designed for experienced users, often overlooking the emotional stress and learning needs of novice drivers. This study explores novice drivers’ perceptions, expectations, and affective experiences when interacting with emotional AI in driving contexts. Through semi-structured interviews with 20 novice drivers and thematic analysis, it is revealed that novice drivers’ needs for in-vehicle AI systems mainly focus on four aspects: situational awareness, behavioral guidance, emotional support, and interaction preferences. The findings reveal that novice drivers expect intelligent systems to provide functional assistance, along with empathetic support and adaptive interaction that responds to their emotional states. This study contributes to a deeper understanding of human–AI interaction in driving contexts by highlighting how emotional safety and perceived empathy influence user trust and engagement. The insights offer practical guidance for designing adaptive and empathetic in-vehicle intelligent systems.

Original languageEnglish
Title of host publicationApplied Human Factors and Ergonomics International
PublisherAHFE International
Pages1644-1652
Number of pages9
DOIs
Publication statusPublished - Nov 2025

Publication series

NameApplied Human Factors and Ergonomics International
Volume199
ISSN (Electronic)2771-0718

Keywords

  • Human-centered AI
  • Human–vehicle interaction
  • In-vehicle AI systems
  • Novice drivers

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Management Science and Operations Research
  • Engineering (miscellaneous)
  • Safety, Risk, Reliability and Quality

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