Movatterモバイル変換


[0]ホーム

URL:


Skip to main content
Cornell University
We gratefully acknowledge support from the Simons Foundation,member institutions, and all contributors.Donate
arxiv logo>cs> arXiv:2412.15834
arXiv logo
Cornell University Logo

Computer Science > Human-Computer Interaction

arXiv:2412.15834 (cs)
[Submitted on 20 Dec 2024 (v1), last revised 25 Dec 2024 (this version, v2)]

Title:Anger Speaks Louder? Exploring the Effects of AI Nonverbal Emotional Cues on Human Decision Certainty in Moral Dilemmas

View PDFHTML (experimental)
Abstract:Exploring moral dilemmas allows individuals to navigate moral complexity, where a reversal in decision certainty, shifting toward the opposite of one's initial choice, could reflect open-mindedness and less rigidity. This study probes how nonverbal emotional cues from conversational agents could influence decision certainty in moral dilemmas. While existing research heavily focused on verbal aspects of human-agent interaction, we investigated the impact of agents expressing anger and sadness towards the moral situations through animated chat balloons. We compared these with a baseline where agents offered same responses without nonverbal cues. Results show that agents displaying anger significantly caused reversal shifts in decision certainty. The interaction between participant gender and agents' nonverbal emotional cues significantly affects participants' perception of AI's influence. These findings reveal that even subtly altering agents' nonverbal cues may impact human moral decisions, presenting both opportunities to leverage these effects for positive outcomes and ethical risks for future human-AI systems.
Comments:19 pages, 5 figures
Subjects:Human-Computer Interaction (cs.HC)
Cite as:arXiv:2412.15834 [cs.HC]
 (orarXiv:2412.15834v2 [cs.HC] for this version)
 https://doi.org/10.48550/arXiv.2412.15834
arXiv-issued DOI via DataCite

Submission history

From: Chenyi Zhang [view email]
[v1] Fri, 20 Dec 2024 12:21:32 UTC (6,420 KB)
[v2] Wed, 25 Dec 2024 10:14:12 UTC (6,420 KB)
Full-text links:

Access Paper:

Current browse context:
cs.HC
Change to browse by:
export BibTeX citation

Bookmark

BibSonomy logoReddit logo

Bibliographic and Citation Tools

Bibliographic Explorer(What is the Explorer?)
Connected Papers(What is Connected Papers?)
scite Smart Citations(What are Smart Citations?)

Code, Data and Media Associated with this Article

CatalyzeX Code Finder for Papers(What is CatalyzeX?)
Hugging Face(What is Huggingface?)
Papers with Code(What is Papers with Code?)

Demos

Hugging Face Spaces(What is Spaces?)

Recommenders and Search Tools

Influence Flower(What are Influence Flowers?)
CORE Recommender(What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community?Learn more about arXivLabs.

Which authors of this paper are endorsers? |Disable MathJax (What is MathJax?)

[8]ページ先頭

©2009-2025 Movatter.jp