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

📅 2024-12-20
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
This study investigates whether and how nonverbal emotional cues—specifically, animated speech bubbles conveying anger—expressed by AI agents influence human decision certainty in moral dilemmas. Method: Employing a rigorously controlled experimental paradigm, we quantitatively measured participants’ decision certainty in standardized moral scenarios and examined the interaction between AI emotion type (anger vs. sadness) and participant gender. Contribution/Results: We report the first empirical evidence that minimal nonverbal affective cues can induce significant reversals in decision certainty. Anger cues markedly increased reversal rates. Critically, a robust gender–AI-emotion interaction emerged: women exhibited heightened certainty in response to anger cues, whereas men showed reduced certainty. These findings demonstrate that AI-generated nonverbal emotional expressions exert measurable, modulable effects on human moral decision-making—providing empirical grounding and theoretical insight for designing emotionally intelligent, trustworthy AI systems.

Technology Category

Application Category

📝 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.
Problem

Research questions and friction points this paper is trying to address.

Artificial Intelligence
Moral Decision-making
Emotional Influence
Innovation

Methods, ideas, or system contributions that make the work stand out.

Artificial Intelligence Emotions
Moral Decision-Making
Ethical Implications
🔎 Similar Papers
No similar papers found.
C
Chenyi Zhang
Southern University of Science and Technology, China
Z
Zhenhao Zhang
Southern University of Science and Technology, China
W
Wei Zhang
Shenzhen University, China
T
Tian Zeng
Shenzhen University, China
Black Sun
Black Sun
Master Student, Aarhus University
Human-Computer InteractionHealthSocial ComputingCSCW
J
Jian Zhao
University of Waterloo, Canada
P
Pengcheng An
Southern University of Science and Technology, China