The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle

By Adam Waytz, Joy Heafner, Nicholas Epley. 2014

1,260 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Social Psychology

View Paper: https://www.semanticscholar.org/paper/9f6b49852c296c5bab5d09901e64bb63c6ef198c

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Citations in the corpus

Consumers and Artificial Intelligence: An Experiential Perspective (2020, positive): “…often happens when anthropomorphic features are incorporated in AI-enabled products: anthropomorphic cues increase trust toward self-driving cars (Waytz, Heafner, and Epley 2014) and reduce perceived risk when consumers are in a position of power (Kim and McGill 2011), as when they interact with…”
A Mind like Mine: The Exceptionally Ordinary Underpinnings of Anthropomorphism (2018, background): “In another experiment by my colleagues and me (Waytz et al. 2014), we encouraged participants to anthropomorphize a simulated autonomous vehicle by giving it a name (Iris), a human voice, a gender (female), and spoken content implying the ability to sense its surroundings and plan for the future.”
From ‘automation’ to ‘autonomy’: the importance of trust repair in human–machine interaction (2018, neutral): “The combination of both design aspects may productively enhance autonomy (Waytz, Heafner, and Epley 2014).”
Brands as Rivals: Consumer Pursuit of Distinctiveness and the Role of Brand Anthropomorphism (2018, background): “Because attributions of mental capacities to technological agents enhance trust that they will perform their intended functions competently (Waytz, Heafner, and Epley 2014), it is possible that participants viewed an electric exercise bike as being able to assist them with their goal more…”
Trust in AI and Its Role in the Acceptance of AI Technologies (2022, background): “Studies have found that the embodiment of an agent can increase trust because users are better able to perceive its social presence (K. Kim et al., 2018; Shin, 2021d; Waytz et al., 2014).”
Empathy Is All You Need: How a Conversational Agent Should Respond to Verbal Abuse (2020, background): “Conversa-tional agents with humanly perceivable tones [35], expressions, vulnerabilities are found to positively inﬂuence users’ agent trust and level of expressiveness [43, 72].”
The 3 C's of anthropomorphism: Connection, comprehension, and competition (2019, background): “As with the Waytz et al. (2014) paper, this paper highlights the trust that people seem to put in anthropo‐ morphized agents, potentially giving in too easily to whatever these agents have to “sell.””
Human Trust in Artificial Intelligence: Review of Empirical Research (2020, background): “For instance, Waytz, Heafner, and Epley (2014) found that participants who drove a car that was partially autonomous reported higher trust in its abilities than participants without such experience.”