A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction
Bibliographic Data
| ID | 23314746 |
|---|---|
| Authors | Eileen Roesler (0000-0002-7243-4882, Technische Universität Berlin, Berlin, Germany.), Dietrich Manzey (0000-0002-6977-7024, Technische Universität Berlin, Berlin, Germany.), Linda Onnasch (0000-0002-2086-774X, Humboldt-Universität zu Berlin, Berlin, Germany.) |
| Year | 2021 |
| Volume | 6 |
| Issue | 58 |
| Publication date | 2021-09-29 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Science Robotics (JOURNAL) |
| Journal identifiers | ISSN: 2470-9476 • E-ISSN: 2470-9476 |
| Publisher | American Association for the Advancement of Science (AAAS) (PUBLISHER) |
| DOI | 10.1126/scirobotics.abj5425 |
| Language | EN |
| Citations received | 53 |
| References cited | 37 |
This meta-analysis quantifies whether and under which circumstances anthropomorphic features of robots facilitate HRI.
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A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction
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The Influence of Robot Anthropomorphism and Trust Violation Types on Trustworthiness Perceptions and Trust Behaviors
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Clarifying Anthropomorphism for Robots and AI
Audiovisual Affective Design of Humanoid Robot Appearance and Voice Based on Kansei Engineering
When is Human–Robot Joint Agency Effective? The Case of Cooperative Reaction Games
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Measuring Anthropomorphism of a New Humanoid Hand-Arm System
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Anthropomorphism and the social robot
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Calculating and reporting effect sizes to facilitate cumulative science
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The Development of a Scale to Evaluate Trust in Industrial Human-robot Collaboration
Revisiting the uncanny valley theory
Anthropomorphism
A Taxonomy to Structure and Analyze Human–Robot Interaction
Effects of Different Types of Social Robot Voices on Affective Evaluations in Different Application Fields
Toward mutual dependency between empathy and technology
The benefit of being physically present
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| Unique citing works | 53 |
|---|---|
| Citations per year | 10,6 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 53 |