Do people sympathize with ostracized AI agents without blaming humans?
Explores whether bystanders who see an AI agent excluded in a game feel sympathy for the agent while still viewing the human excluder as acceptable. This tests whether people apply human moral standards to AI consistently.
In the same Cyberball experiment (N=244) reported in Do people treat excluded AI agents like excluded humans?, Zhou, Porat and Van Zalk measured a second, separate response alongside the behavioral compensation finding: self-reported sympathy toward the coplayers and evaluations of the human player's conduct. The authors report that "participants showed increased sympathy towards the ostracised agent, but they did not devalue the human player for their ostracising behaviour; this indicates that participants did not mindfully perceive AI virtual agents as comparable to humans."
The authors read this pairing as evidence that the mindless and mindful routes identified by the dual-processing model (Type 1 automatic, Type 2 reflective) can point in different directions within the same observer and the same episode. The behavioral measure (ball-tossing frequency) showed participants mindlessly treating the agent like a human worth including; the evaluative measure (judging the human ostracizer) showed that when participants consciously, reflectively assessed the human player's behavior, they did not extend the agent the same moral standing — ostracizing an agent was not treated as comparable to ostracizing a person, so the human player escaped the social penalty a human-human Cyberball study would predict. Sympathy rose, but social blame did not transfer.
This qualifies the central claim rather than contradicting it: the paper's title captures the mindless-norm result, but this second finding is what licenses the paper's own conclusion that the "social being" perspective is only partially supported. It also bears on Do humans apply human-human scripts to AI interactions? — if people maintain a reflective category boundary between agents and humans even while mindlessly applying human-human behavioral scripts to agents, that supports the idea of two coexisting script or processing systems rather than one unified treat agents as humans response. It is also a caution for the mindless/mindful anthropomorphism distinction used in Do more social cues always make AI feel more present?: both forms of anthropomorphism can be present and diverge in direction within a single interaction, not just independently activate.
The study used self-report sympathy and evaluation measures collected after a single staged observation of ostracism in a ball-tossing game; it does not establish whether the sympathy-without-blame pattern holds for direct (not third-person) human-agent interaction, for agents with richer social cues than Cyberball's minimal coplayer role, or outside the specific moral frame of "ostracism." The paper also reports two further exploratory findings not detailed in this excerpt — an association between frequency of agent usage and sympathy, and a carryover effect of positive usage experience — that the authors flag as exploratory and that this note does not take as established.
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How do emotional interactions with AI systems affect user well-being and attachment? When do people apply social norms to AI systems?Related concepts in this collection 3
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Do people treat excluded AI agents like excluded humans?
This research asks whether people automatically apply social inclusion norms to AI agents the same way they do to humans, and whether this automatic response varies by age or experience.
same study's behavioral finding; this note is the evaluative finding that qualifies it
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Do humans apply human-human scripts to AI interactions?
Does CASA theory correctly explain how people interact with media agents, or have decades of technology use created separate interaction scripts? Understanding which scripts drive behavior matters for AI design.
a reflective agent/human category boundary alongside a mindlessly transferred behavioral script supports two coexisting processing systems
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Do more social cues always make AI feel more present?
Explores whether quantity of social cues matters as much as their quality in triggering social responses to AI. Tests whether multiple weak cues can substitute for one strong one.
mindless and mindful anthropomorphism can diverge in direction within one episode, not just operate independently
Related papers in this collection 8
Papers most semantically related to this note, ranked by cosine similarity in the embedding space.
- Humans Mindlessly Treat AI Virtual Agents as Social Beings, but This Tendency Diminishes Among the Young: Evidence From a Cyberball Experiment
- Who's Sorry Now: User Preferences Among Rote, Empathic, and Explanatory Apologies from LLM Chatbots
- The Moral Turing Test: Evaluating Human-LLM Alignment in Moral Decision-Making
- Humans learn to prefer trustworthy AI over human partners
- Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interaction
- AI Peers Exert Social Influence on Human Dishonesty in Groups
- The Tool-to-Entity Threshold: Parasocial Dynamics of Personalised AI Agents in Shared Social Spaces
- Computer says “No”: The Case Against Empathetic Conversational AI
Original note title
participants felt more sympathy for an ostracized AI agent but did not devalue the human who ostracized it