{"title":"Investigation of a Human’s Opinion Affected by Social Influence of a Group Norm in a Human-Robot Group After a Human-Robot Scenario","authors":"Yotaro Fuse, Masataka Tokumaru","doi":"10.1109/SSCI47803.2020.9308320","DOIUrl":null,"url":null,"abstract":"In this study, we investigate whether a humanrobot scenario continuously influenced participants after an experimental human-robot scenario. Many studies have been conducted on the social behaviors of robots. It is important that these robots try to naturally participate in a human community and behave in a human-like way. As robots get sociable, humans that interact with the robots are likely to be affected by the robots that behave in a human-like manner like they are affected by other humans. In particular, some studies showed that robots had an influence on humans in some human-robot experimental scenarios. Although previous studies on social robots investigated the social influence on a human from robots in the human-robot scenario, long-lasting influence on a human after the scenario is still incompletely understood. This study investigates the longlasting effect on human decision-making in an experimental scenario of human-robot groups, which included robots learning group norms. We assess this influence by analyzing the results of two kinds of questionnaires that the participants answered during the experimental human-robot scenario and more than one week after the scenario. The questionnaire results reveal that some participants’ decision makings was limited by a group norm developed in a human-robot group more than one week after the experimental scenario.","PeriodicalId":413489,"journal":{"name":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Symposium Series on Computational Intelligence (SSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSCI47803.2020.9308320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this study, we investigate whether a humanrobot scenario continuously influenced participants after an experimental human-robot scenario. Many studies have been conducted on the social behaviors of robots. It is important that these robots try to naturally participate in a human community and behave in a human-like way. As robots get sociable, humans that interact with the robots are likely to be affected by the robots that behave in a human-like manner like they are affected by other humans. In particular, some studies showed that robots had an influence on humans in some human-robot experimental scenarios. Although previous studies on social robots investigated the social influence on a human from robots in the human-robot scenario, long-lasting influence on a human after the scenario is still incompletely understood. This study investigates the longlasting effect on human decision-making in an experimental scenario of human-robot groups, which included robots learning group norms. We assess this influence by analyzing the results of two kinds of questionnaires that the participants answered during the experimental human-robot scenario and more than one week after the scenario. The questionnaire results reveal that some participants’ decision makings was limited by a group norm developed in a human-robot group more than one week after the experimental scenario.