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Beyond Overt Reactions: Analyzing Subtle User Emotional Response to Unexpected In-Vehicle System Behavior — arXiv:2608.15048

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.15048
License (as archived): CC0-1.0
Archived: 2026-10-18T19:34:19.747Z
SHA-256 of the archived text: 9347f5b8add4102b178237314fdc1a151924d9f796a90a00a30451d457c3cf80
Stable URL of this page: https://metraipolis.com/documento/dc_bc8fc78da70d

How to cite

Beyond Overt Reactions: Analyzing Subtle User Emotional Response to Unexpected In-Vehicle System Behavior — arXiv:2608.15048 — arXiv (en), https://arxiv.org/abs/2608.15048 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_bc8fc78da70d (Metraipolis archive dc_bc8fc78da70d, sha256 9347f5b8add4102b178237314fdc1a151924d9f796a90a00a30451d457c3cf80)

BibTeX

@misc{dcbc8fc78da70d,
  title = {Beyond Overt Reactions: Analyzing Subtle User Emotional Response to Unexpected In-Vehicle System Behavior — arXiv:2608.15048},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.15048},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_bc8fc78da70d; sha256 9347f5b8add4102b178237314fdc1a151924d9f796a90a00a30451d457c3cf80},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.15048. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Modern vehicles, with advanced AI voice and autonomous navigation features, extend beyond traditional driving but, like any autonomous system, can potentially make mistakes or behave in ways unexpected by users. Although providing real-time explanations can alleviate some confusion, constant information can overwhelm users and potentially cause unnecessary distractions. Some situations may require explanations or corrective vehicle behavior, and thus, recognizing user response to unexpected vehicle behavior is critical. To investigate such user responses, our study focused on collecting and analyzing user behavioral responses to unexpected events while interacting with a fully autonomous vehicle in a driving simulator. We also aimed to address the lack of datasets capturing subtle user responses (facial, spoken language, physiological signals) to in-vehicle events, as existing datasets primarily focus on strong emotional signals in conventional human-driven cars and user response to external road and traffic conditions. Users were exposed to stimuli designed to induce surprise, confusion, and frustration while performing a secondary task on a tablet and interacting with the vehicle through voice commands and in-vehicle displays. We collected a multi-modal dataset with video, audio, and heart rate data and gained insights into subtle user responses that underscored the need for further investigation of nuanced user behaviors. These observations highlight the importance of designing vehicles that recognize and adapt to occupants' behavior, potentially improving their experience.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-08-18 in cs.HC).
Categorie arXiv: Human-Computer Interaction (cs.HC).
Pagina del lavoro: https://arxiv.org/abs/2608.15048 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-18T19:02:17.195Z dalla pagina https://arxiv.org/catchup/cs.HC/2026-08-18?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).