You Look Human, But Act Like a Machine: Agent Appearance and Behavior Modulate Different Aspects of Human–Robot Interaction

Abdulaziz Abubshait · Eva Wiese

143 citations0/0 files storedFrontiers in Psychology

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Social Robot Interaction and HRI Child and Animal Learning Development AI in Service Interactions

Abstract

Gaze following occurs automatically in social interactions, but the degree to which gaze is followed depends on whether an agent is perceived to have a mind, making its behavior socially more relevant for the interaction. Mind perception also modulates the attitudes we have toward others, and determines the degree of empathy, prosociality, and morality invested in social interactions. Seeing mind in others is not exclusive to human agents, but mind can also be ascribed to non-human agents like robots, as long as their appearance and/or behavior allows them to be perceived as intentional beings. Previous studies have shown that human appearance and reliable behavior induce mind perception to robot agents, and positively affect attitudes and performance in human-robot interaction. What has not been investigated so far is whether different triggers of mind perception have an independent or interactive effect on attitudes and performance in human-robot interaction. We examine this question by manipulating agent appearance (human vs. robot) and behavior (reliable vs. random) within the same paradigm and examine how congruent (human/reliable vs. robot/random) versus incongruent (human/random vs. robot/reliable) combinations of these triggers affect performance (i.e., gaze following) and attitudes (i.e., agent ratings) in human-robot interaction. The results show that both appearance and behavior affect human-robot interaction but that the two triggers seem to operate in isolation, with appearance more strongly impacting attitudes, and behavior more strongly affecting performance. The implications of these findings for human-robot interaction are discussed.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 143 citations exist upstream.

References

1995Mindblindness 1944An Experimental Study of Apparent Behavior 2003A survey of socially interactive robots 2003Functional imaging of ‘theory of mind’2014The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle 2000Movement and Mind: A Functional Imaging Study of Perception and Interpretation of Complex Intentional Movement Patterns 2000Do triangles play tricks? Attribution of mental states to animated shapes in normal and abnormal development 1998Adult's Eyes Trigger Shifts of Visual Attention in Human Infants

Cited by

2019Companion robots for older people: importance of user-centred design demonstrated through observations and focus groups comparing preferences of older people and roboticists in South West England 2019Team Structure and Team Building Improve Human–Machine Teaming With Autonomous Agents 2022When your boss is a robot: Workers are more spiteful to robot supervisors that seem more human 2024Ascribing consciousness to artificial intelligence: human-AI interaction and its carry-over effects on human-human interaction 2020

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.