{"title":"Robot Enabled Service Personalisation Based On Emotion Feedback","authors":"R. Khosla, K. Nguyen, Mei-Tai Chu, Yu-Ang Tan","doi":"10.1145/3007120.3007167","DOIUrl":null,"url":null,"abstract":"In this paper, we describe the application of autonomous service personalisation used on a social robot in the context of health care, in particular for the elderly population. The intent is to design a framework where the robot can learn the user's preferences (likes and dislikes) over time based on facial expression as a form of feedback. By extracting emotional cues from facial expression, we can then compute the intensity of a given expression on the user and adapt the robot's services accordingly. To illustrate the application of this system, we use the case study of an emotion-aware music recommendation system.","PeriodicalId":394387,"journal":{"name":"Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media","volume":"257 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 14th International Conference on Advances in Mobile Computing and Multi Media","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3007120.3007167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, we describe the application of autonomous service personalisation used on a social robot in the context of health care, in particular for the elderly population. The intent is to design a framework where the robot can learn the user's preferences (likes and dislikes) over time based on facial expression as a form of feedback. By extracting emotional cues from facial expression, we can then compute the intensity of a given expression on the user and adapt the robot's services accordingly. To illustrate the application of this system, we use the case study of an emotion-aware music recommendation system.
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