Cargando…
Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social
Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to interact with humans in an intuitive and social way is still quite limited. An important challenge for...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632653/ https://www.ncbi.nlm.nih.gov/pubmed/29046651 http://dx.doi.org/10.3389/fpsyg.2017.01663 |
_version_ | 1783269741134086144 |
---|---|
author | Wiese, Eva Metta, Giorgio Wykowska, Agnieszka |
author_facet | Wiese, Eva Metta, Giorgio Wykowska, Agnieszka |
author_sort | Wiese, Eva |
collection | PubMed |
description | Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to interact with humans in an intuitive and social way is still quite limited. An important challenge for social robotics is to determine how to design robots that can perceive the user’s needs, feelings, and intentions, and adapt to users over a broad range of cognitive abilities. It is conceivable that if robots were able to adequately demonstrate these skills, humans would eventually accept them as social companions. We argue that the best way to achieve this is using a systematic experimental approach based on behavioral and physiological neuroscience methods such as motion/eye-tracking, electroencephalography, or functional near-infrared spectroscopy embedded in interactive human–robot paradigms. This approach requires understanding how humans interact with each other, how they perform tasks together and how they develop feelings of social connection over time, and using these insights to formulate design principles that make social robots attuned to the workings of the human brain. In this review, we put forward the argument that the likelihood of artificial agents being perceived as social companions can be increased by designing them in a way that they are perceived as intentional agents that activate areas in the human brain involved in social-cognitive processing. We first review literature related to social-cognitive processes and mechanisms involved in human–human interactions, and highlight the importance of perceiving others as intentional agents to activate these social brain areas. We then discuss how attribution of intentionality can positively affect human–robot interaction by (a) fostering feelings of social connection, empathy and prosociality, and by (b) enhancing performance on joint human–robot tasks. Lastly, we describe circumstances under which attribution of intentionality to robot agents might be disadvantageous, and discuss challenges associated with designing social robots that are inspired by neuroscientific principles. |
format | Online Article Text |
id | pubmed-5632653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56326532017-10-18 Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social Wiese, Eva Metta, Giorgio Wykowska, Agnieszka Front Psychol Psychology Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to interact with humans in an intuitive and social way is still quite limited. An important challenge for social robotics is to determine how to design robots that can perceive the user’s needs, feelings, and intentions, and adapt to users over a broad range of cognitive abilities. It is conceivable that if robots were able to adequately demonstrate these skills, humans would eventually accept them as social companions. We argue that the best way to achieve this is using a systematic experimental approach based on behavioral and physiological neuroscience methods such as motion/eye-tracking, electroencephalography, or functional near-infrared spectroscopy embedded in interactive human–robot paradigms. This approach requires understanding how humans interact with each other, how they perform tasks together and how they develop feelings of social connection over time, and using these insights to formulate design principles that make social robots attuned to the workings of the human brain. In this review, we put forward the argument that the likelihood of artificial agents being perceived as social companions can be increased by designing them in a way that they are perceived as intentional agents that activate areas in the human brain involved in social-cognitive processing. We first review literature related to social-cognitive processes and mechanisms involved in human–human interactions, and highlight the importance of perceiving others as intentional agents to activate these social brain areas. We then discuss how attribution of intentionality can positively affect human–robot interaction by (a) fostering feelings of social connection, empathy and prosociality, and by (b) enhancing performance on joint human–robot tasks. Lastly, we describe circumstances under which attribution of intentionality to robot agents might be disadvantageous, and discuss challenges associated with designing social robots that are inspired by neuroscientific principles. Frontiers Media S.A. 2017-10-04 /pmc/articles/PMC5632653/ /pubmed/29046651 http://dx.doi.org/10.3389/fpsyg.2017.01663 Text en Copyright © 2017 Wiese, Metta and Wykowska. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Wiese, Eva Metta, Giorgio Wykowska, Agnieszka Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social |
title | Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social |
title_full | Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social |
title_fullStr | Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social |
title_full_unstemmed | Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social |
title_short | Robots As Intentional Agents: Using Neuroscientific Methods to Make Robots Appear More Social |
title_sort | robots as intentional agents: using neuroscientific methods to make robots appear more social |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5632653/ https://www.ncbi.nlm.nih.gov/pubmed/29046651 http://dx.doi.org/10.3389/fpsyg.2017.01663 |
work_keys_str_mv | AT wieseeva robotsasintentionalagentsusingneuroscientificmethodstomakerobotsappearmoresocial AT mettagiorgio robotsasintentionalagentsusingneuroscientificmethodstomakerobotsappearmoresocial AT wykowskaagnieszka robotsasintentionalagentsusingneuroscientificmethodstomakerobotsappearmoresocial |