Literature DB >> 34516745

A meta-analysis on the effectiveness of anthropomorphism in human-robot interaction.

E Roesler1, D Manzey1, L Onnasch2.   

Abstract

The application of anthropomorphic design features is widely assumed to facilitate human-robot interaction (HRI). However, a considerable number of study results point in the opposite direction. There is currently no comprehensive common ground on the circumstances under which anthropomorphism promotes interaction with robots. Our meta-analysis aims to close this gap. A total of 4856 abstracts were scanned. After an extensive evaluation, 78 studies involving around 6000 participants and 187 effect sizes were included in this meta-analysis. The majority of the studies addressed effects on perceptual aspects of robots. In addition, effects on attitudinal, affective, and behavioral aspects were also investigated. Overall, a medium positive effect size was found, indicating a beneficial effect of anthropomorphic design features on human-related outcomes. However, closer scrutiny of the lowest variable level revealed no positive effect for perceived safety, empathy, and task performance. Moreover, the analysis suggests that positive effects of anthropomorphism depend heavily on various moderators. For example, anthropomorphism was in contrast to other fields of application, constantly facilitating social HRI. The results of this analysis provide insights into how design features can be used to improve the quality of HRI. Moreover, they reveal areas in which more research is needed before any clear conclusions about the effects of anthropomorphic robot design can be drawn.

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Year:  2021        PMID: 34516745     DOI: 10.1126/scirobotics.abj5425

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  7 in total

1.  Robot Voices in Daily Life: Vocal Human-Likeness and Application Context as Determinants of User Acceptance.

Authors:  Simon Schreibelmayr; Martina Mara
Journal:  Front Psychol       Date:  2022-05-13

2.  Designing Man's New Best Friend: Enhancing Human-Robot Dog Interaction through Dog-Like Framing and Appearance.

Authors:  Ewart J de Visser; Yigit Topoglu; Shawn Joshi; Frank Krueger; Elizabeth Phillips; Jonathan Gratch; Chad C Tossell; Hasan Ayaz
Journal:  Sensors (Basel)       Date:  2022-02-08       Impact factor: 3.847

3.  Variable Impedance Control Based on Target Position and Tracking Error for Rehabilitation Robots During a Reaching Task.

Authors:  Rongrong Tang; Qianqian Yang; Rong Song
Journal:  Front Neurorobot       Date:  2022-03-03       Impact factor: 2.650

Review 4.  Crisis Ahead? Why Human-Robot Interaction User Studies May Have Replicability Problems and Directions for Improvement.

Authors:  Benedikt Leichtmann; Verena Nitsch; Martina Mara
Journal:  Front Robot AI       Date:  2022-03-11

5.  Is It Me or the Robot? A Critical Evaluation of Human Affective State Recognition in a Cognitive Task.

Authors:  Doreen Jirak; Motonobu Aoki; Takura Yanagi; Atsushi Takamatsu; Stephane Bouet; Tomohiro Yamamura; Giulio Sandini; Francesco Rea
Journal:  Front Neurorobot       Date:  2022-08-01       Impact factor: 3.493

6.  A Model to Evaluate the Effectiveness of the Maritime Shipping Risk Mitigation System by Entropy-Based Capability Degradation Analysis.

Authors:  Jun Shen; Xiaoxue Ma; Weiliang Qiao
Journal:  Int J Environ Res Public Health       Date:  2022-07-30       Impact factor: 4.614

Review 7.  A Meta-Analysis on Remote HRI and In-Person HRI: What Is a Socially Assistive Robot to Do?

Authors:  Nan Liang; Goldie Nejat
Journal:  Sensors (Basel)       Date:  2022-09-21       Impact factor: 3.847

  7 in total

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