Perception of robotic actions and the influence of gender
- PMID: 38356771
- PMCID: PMC10864477
- DOI: 10.3389/fpsyg.2024.1295279
Perception of robotic actions and the influence of gender
Abstract
In our society interaction with robots is becoming more and more frequent since robots are not only used in the industry, but increasingly often in assistance and in health system. Perception of robots and their movements is crucial for their acceptance. Here we shortly review basic mechanisms of perception of actions, and then of perception of robotic and human movements. The literature demonstrates that there are commonalities, but also differences in the perception of human and robotic movements. Especially interesting are biologic gender differences in the perception of robotic movements. The results show that males seem to be more sensitive to the differences between robotic and anthropomorphic movements, whereas females seem not to perceive such differences. However, females transfer more anthropomorphic features to robotic movements. While looking at the brain activation during perception of humanoid and robotic movements in different genders one can conclude that different strategies are used; female seem to analyse robotic movements online, while male seem to use previous knowledge from interaction with robots. Further research is needed to specify more such gender differences.
Keywords: action observation system; gender influence on perception of robotic movements; mirror neuron system (MNS); perception of humanoid movements; perception of robotic movements.
Copyright © 2024 Abel, Buccino and Binkofski.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.
Similar articles
-
Gender Effects in Observation of Robotic and Humanoid Actions.Front Psychol. 2020 Apr 30;11:797. doi: 10.3389/fpsyg.2020.00797. eCollection 2020. Front Psychol. 2020. PMID: 32425860 Free PMC article.
-
Anthropomorphic or non-anthropomorphic? Effects of biological sex in observation of actions in a digital human model and a gantry robot model.Front Neurorobot. 2022 Aug 17;16:937452. doi: 10.3389/fnbot.2022.937452. eCollection 2022. Front Neurorobot. 2022. PMID: 36061147 Free PMC article.
-
Human-Like Movements of Industrial Robots Positively Impact Observer Perception.Int J Soc Robot. 2022 Dec 20:1-19. doi: 10.1007/s12369-022-00954-2. Online ahead of print. Int J Soc Robot. 2022. PMID: 36570426 Free PMC article.
-
Do robots outperform humans in human-centered domains?Front Robot AI. 2023 Nov 7;10:1223946. doi: 10.3389/frobt.2023.1223946. eCollection 2023. Front Robot AI. 2023. PMID: 38023587 Free PMC article. Review.
-
Action observation and robotic agents: learning and anthropomorphism.Neurosci Biobehav Rev. 2011 May;35(6):1410-8. doi: 10.1016/j.neubiorev.2011.03.004. Epub 2011 Mar 17. Neurosci Biobehav Rev. 2011. PMID: 21396398 Review.
References
-
- Abel M., Kuz S., Patel H. J., Petruck H., Klann J., Schlick C. M., et al. . (2022). Anthropomorphic or non-anthropomorphic? Effects of biological sex in observation of actions in a digital human model and a gantry robot model. Front. Neurorobot. 16:937452. doi: 10.3389/fnbot.2022.937452, PMID: - DOI - PMC - PubMed
-
- Bartneck C., Kulić D., Croft E., Zoghbi S. (2009). Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. Int. J. Soc. Robot. 1, 71–81. doi: 10.1007/s12369-008-0001-3 - DOI
-
- Belanche D., Casaló L. V., Flavián C., Schepers J. (2020). Service robot implementation: a theoretical framework and research agenda. Serv. Ind. J. 40, 203–225. doi: 10.1080/02642069.2019.1672666 - DOI
-
- Benitez J., Wyman A. B., Carpinella C. M., Stroessner S. J. (2017). The authority of appearance: how robot features influence trait inferences and evaluative responses. IEEE International Symposium on Robot and Human Inter Communication (RO–MAN)
Publication types
LinkOut - more resources
Full Text Sources