{"title":"测量对机器人的心理感知意味着什么?主要自我报告工具评析","authors":"Victor Galvez, Esther Hanono","doi":"10.1007/s12369-024-01113-5","DOIUrl":null,"url":null,"abstract":"<p>Although most studies that seek to measure participants’ judgments and attitudes regarding humanoid robots’ possessing (or appearing to possess) a mind or mental capacities have been based on verbal measures, there is yet no standard psychometric instrument for this end. Using a COSMIN approach, this critical review seeks to summarize the most valid and reliable self-report instruments that aim to measure mental state attribution to humanoid robots. 501 papers were reviewed, but only 11 were included, finding that: (1) The instruments do not usually measure mental state attribution toward robots as an exclusive phenomenon but as a factor associated with the tendency to anthropomorphize non-human entities; (2) There is a lack of consensus regarding a definition of mental state attribution and the psychometric dimensions that underlie it; (3) The tendency to anthropomorphize does not by itself imply the attribution of mind to robots. In our discussion, we delve into the general problem of mind perception/attribution and speculate on the possible theoretical basis for a multifactorial model for measuring mind perception as part of a broader phenomenon we term “psycheidolia.”</p>","PeriodicalId":14361,"journal":{"name":"International Journal of Social Robotics","volume":"7 1","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"What Does it Mean to Measure Mind Perception toward Robots? A Critical Review of the Main Self-Report Instruments\",\"authors\":\"Victor Galvez, Esther Hanono\",\"doi\":\"10.1007/s12369-024-01113-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Although most studies that seek to measure participants’ judgments and attitudes regarding humanoid robots’ possessing (or appearing to possess) a mind or mental capacities have been based on verbal measures, there is yet no standard psychometric instrument for this end. Using a COSMIN approach, this critical review seeks to summarize the most valid and reliable self-report instruments that aim to measure mental state attribution to humanoid robots. 501 papers were reviewed, but only 11 were included, finding that: (1) The instruments do not usually measure mental state attribution toward robots as an exclusive phenomenon but as a factor associated with the tendency to anthropomorphize non-human entities; (2) There is a lack of consensus regarding a definition of mental state attribution and the psychometric dimensions that underlie it; (3) The tendency to anthropomorphize does not by itself imply the attribution of mind to robots. In our discussion, we delve into the general problem of mind perception/attribution and speculate on the possible theoretical basis for a multifactorial model for measuring mind perception as part of a broader phenomenon we term “psycheidolia.”</p>\",\"PeriodicalId\":14361,\"journal\":{\"name\":\"International Journal of Social Robotics\",\"volume\":\"7 1\",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-03-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Social Robotics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s12369-024-01113-5\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Social Robotics","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s12369-024-01113-5","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
What Does it Mean to Measure Mind Perception toward Robots? A Critical Review of the Main Self-Report Instruments
Although most studies that seek to measure participants’ judgments and attitudes regarding humanoid robots’ possessing (or appearing to possess) a mind or mental capacities have been based on verbal measures, there is yet no standard psychometric instrument for this end. Using a COSMIN approach, this critical review seeks to summarize the most valid and reliable self-report instruments that aim to measure mental state attribution to humanoid robots. 501 papers were reviewed, but only 11 were included, finding that: (1) The instruments do not usually measure mental state attribution toward robots as an exclusive phenomenon but as a factor associated with the tendency to anthropomorphize non-human entities; (2) There is a lack of consensus regarding a definition of mental state attribution and the psychometric dimensions that underlie it; (3) The tendency to anthropomorphize does not by itself imply the attribution of mind to robots. In our discussion, we delve into the general problem of mind perception/attribution and speculate on the possible theoretical basis for a multifactorial model for measuring mind perception as part of a broader phenomenon we term “psycheidolia.”
期刊介绍:
Social Robotics is the study of robots that are able to interact and communicate among themselves, with humans, and with the environment, within the social and cultural structure attached to its role. The journal covers a broad spectrum of topics related to the latest technologies, new research results and developments in the area of social robotics on all levels, from developments in core enabling technologies to system integration, aesthetic design, applications and social implications. It provides a platform for like-minded researchers to present their findings and latest developments in social robotics, covering relevant advances in engineering, computing, arts and social sciences.
The journal publishes original, peer reviewed articles and contributions on innovative ideas and concepts, new discoveries and improvements, as well as novel applications, by leading researchers and developers regarding the latest fundamental advances in the core technologies that form the backbone of social robotics, distinguished developmental projects in the area, as well as seminal works in aesthetic design, ethics and philosophy, studies on social impact and influence, pertaining to social robotics.