{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:29:37Z","timestamp":1760239777090,"version":"build-2065373602"},"reference-count":31,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2020,12,21]],"date-time":"2020-12-21T00:00:00Z","timestamp":1608508800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"JSPS Foundation","award":["15K00272, 18H03274"],"award-info":[{"award-number":["15K00272, 18H03274"]}]},{"name":"Research Complex Promotion Program","award":["-"],"award-info":[{"award-number":["-"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper proposes emotion amplification for TV chat agents allowing users to get more excited in TV sports programs, and a model that estimates the excitement level of TV programs based on the number of social comment posts. The proposed model extracts the exciting intervals from social comments to the program scenes. By synchronizing recorded video streams and the intervals, the agents may talk with the user dynamically changing the frequency and volume of upbeat utterances, increasing the excitement of the user. To test these agents, participants watched TV content under three conditions: without an agent, with four agents that utter with a flat voice, and with four agents with emotion amplification. Results from 24 young adult Japanese individuals showed that their arousal of participants\u2019 subjective and physiological emotional responses were boosted because of the agents, enhancing their motivation to interact with the agent in the future. With empirical evidence, this paper supports these expectations and demonstrates that these agents can amplify the positive emotions of TV watchers, enhancing their motivation to interact with the agent in the future.<\/jats:p>","DOI":"10.3390\/s20247330","type":"journal-article","created":{"date-parts":[[2020,12,21]],"date-time":"2020-12-21T01:01:08Z","timestamp":1608512468000},"page":"7330","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Positive Emotion Amplification by Representing Excitement Scene with TV Chat Agents"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0553-9091","authenticated-orcid":false,"given":"Shogo","family":"Nishimura","sequence":"first","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma,Nara 630-0192, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daiki","family":"Kimata","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma,Nara 630-0192, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5335-1272","authenticated-orcid":false,"given":"Wataru","family":"Sato","sequence":"additional","affiliation":[{"name":"Psychological Process Team, Robotics Project, BZP, RIKEN, Kyoto 619-0288, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Masayuki","family":"Kanbara","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma,Nara 630-0192, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuichiro","family":"Fujimoto","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma,Nara 630-0192, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3921-2871","authenticated-orcid":false,"given":"Hirokazu","family":"Kato","sequence":"additional","affiliation":[{"name":"Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma,Nara 630-0192, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Norihiro","family":"Hagita","sequence":"additional","affiliation":[{"name":"Art Science Department, Osaka University of Arts, Osaka 585-8555, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,21]]},"reference":[{"key":"ref_1","unstructured":"(2018). Information and Communications in Japan, Ministry of Internal Affairs and Communications of Japan. Technical Report."},{"key":"ref_2","unstructured":"(2019). Annual Report on the Ageing Society, Cabinet Office Government of Japan. Technical Report."},{"key":"ref_3","unstructured":"(2019). White Paper on Children and Young People, Cabinet Office Government of Japan. Technical Report."},{"key":"ref_4","unstructured":"Breazeal, C. (1998, January 27\u201329). A motivational system for regulating human-robot interaction. Proceedings of the 10th Conference on Innovative Applications of Artificial Intelligence, Madison, WI, USA."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Gockley, R., Bruce, A., Forlizzi, J., Michalowski, M., Mundell, A., Rosenthal, S., Sellner, B., Simmons, R., Snipes, K., and Schultz, A.C. (2005, January 2\u20136). Designing robots for long-term social interaction. Proceedings of the 2005 IEEE\/RSJ International Conference on Intelligent Robots and Systems, Edmonton, AB, Canada.","DOI":"10.1109\/IROS.2005.1545303"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1007\/s12369-013-0178-y","article-title":"Social robots for long-term interaction: A survey","volume":"5","author":"Leite","year":"2013","journal-title":"Int. J. Soc. Robot."},{"key":"ref_7","first-page":"27","article-title":"A Longitudinal Field Trial for Human-robot Interaction in an Elementary School","volume":"7","author":"Kanda","year":"2005","journal-title":"J. Hum. Interface Soc. Hum. Interface"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1145\/365153.365168","article-title":"ELIZA\u2014A computer program for the study of natural language communication between man and machine","volume":"9","author":"Weizenbaum","year":"1966","journal-title":"Commun. ACM"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Tsujino, K., Iizuka, S., Nakashima, Y., and Isoda, Y. (2013, January 3\u20136). Speech Recognition and Spoken Language Understanding for Mobile Personal Assistants: A Case Study of \u201cShabette Concier\u201d. Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management, Milan, Italy.","DOI":"10.1109\/MDM.2013.98"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Iwama, K., and Kano, Y. (2018, January 5\u20138). Japanese advertising slogan generator using case frame and word vector. Proceedings of the 11th International Conference on Natural Language Generation, Tilburg, The Netherlands.","DOI":"10.18653\/v1\/W18-6526"},{"key":"ref_11","first-page":"124","article-title":"Development of a customizable open domain chat-oriented dialogue system","volume":"5","author":"Tsunomori","year":"2018","journal-title":"J. Jpn. Soc. Artif. Intell. SIG-SLUD"},{"key":"ref_12","first-page":"27","article-title":"Factors of interaction in the spoken dialogue system with high desire of sustainability","volume":"95","author":"Miyazawa","year":"2012","journal-title":"Trans. Inst. Electron. Inf. Commun. Eng. A"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Minami, H., Kawanami, H., Kanbara, M., and Hagita, N. (2016, January 11\u201315). Chat robot coupling machine responses and social media comments for continuous conversation. Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Seattle, WA, USA.","DOI":"10.1109\/ICMEW.2016.7574758"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Iio, T., Yoshikawa, Y., and Ishiguro, H. (2017, January 22\u201324). Starting a Conversation by Multi-Robot Cooperative Behavior. Proceedings of the International Conference on Social Robotics, Tsukuba, Japan.","DOI":"10.1007\/978-3-319-70022-9_73"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Matsumoto, T., Seko, S., Aoki, R., Miyata, A., Watanabe, T., and Yamada, T. (2014, January 28\u201331). Affective agents for enhancing emotional experience. Proceedings of the Second International Conference on Human-Agent Interaction, Tsukuba, Japan.","DOI":"10.1145\/2658861.2658914"},{"key":"ref_16","unstructured":"Mohammad, S.M., Kiritchenko, S., and Zhu, X. (2013). NRC-Canada: Building the state-of-the-art in sentiment analysis of tweets. arXiv."},{"key":"ref_17","unstructured":"Gilbert, C., and Hutto, E. (2014, January 1\u20134). Vader: A parsimonious rule-based model for sentiment analysis of social media text. Proceedings of the Eighth International Conference on Weblogs and Social Media (ICWSM-14), Ann Arbor, MI, USA. Available online: http:\/\/comp.social.gatech.edu\/papers\/icwsm14.vader.hutto.pdf."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.chb.2018.08.039","article-title":"Social media big data analytics: A survey","volume":"101","author":"Ghani","year":"2019","journal-title":"Comput. Hum. Behav."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Shamma, D.A., Kennedy, L., and Churchill, E.F. (2009, January 23). Tweet the debates: Understanding community annotation of uncollected sources. Proceedings of the First SIGMM Workshop on Social Media, Beijing, China.","DOI":"10.1145\/1631144.1631148"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1248","DOI":"10.1016\/S0006-3223(98)00275-3","article-title":"Emotion, motivation, and anxiety: Brain mechanisms and psychophysiology","volume":"44","author":"Lang","year":"1998","journal-title":"Biol. Psychiatry"},{"key":"ref_21","unstructured":"SHARP Corporation (2020, May 04). RoBoHon, Product Infromation. (In Japanese)."},{"key":"ref_22","unstructured":"HOYA Corporation (2020, May 04). Speech Sythesis Voice Text Web API. (In Japanese)."},{"key":"ref_23","unstructured":"Twitter, Inc (2020, May 04). Welcome to Twitter. (In Japanese)."},{"key":"ref_24","unstructured":"DWANGO Co., Ltd. (2020, May 04). Nico Nico Commentary. (In Japanese)."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"176","DOI":"10.5112\/jjlp.38.176","article-title":"\u201cMora method\u201d for objective evaluation of severity of spasmodic dysphonia","volume":"38","author":"Masanobu","year":"1997","journal-title":"Jpn. J. Logop. Phoniatr."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1037\/0022-3514.57.3.493","article-title":"Affect grid: A single-item scale of pleasure and arousal","volume":"57","author":"Russell","year":"1989","journal-title":"J. Personal. Soc. Psychol."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Nishimura, S., Nakamura, T., Kanbara, M., Wataru, S., and Hagita, N. (2019, January 6\u201310). Evaluation of Pacing for Dialog Robots to Build Trust Relationships with Human Users. Proceedings of the 7th International Conference on Human-Agent Interaction, Kyoto, Japan.","DOI":"10.1145\/3349537.3352799"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"776","DOI":"10.1037\/h0043424","article-title":"On the social psychology of the psychological experiment: With particular reference to demand characteristics and their implications","volume":"17","author":"Orne","year":"1962","journal-title":"Am. Psychol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"805","DOI":"10.1080\/13683500.2014.975679","article-title":"Current and potential methods for measuring emotion in tourism experiences: A review","volume":"18","author":"Li","year":"2015","journal-title":"Curr. Issues Tour."},{"key":"ref_30","unstructured":"Cacioppo, J.T., Berntson, G.G., and Klein, D.J. (1992). What is an Emotion? The Role of Somatovisceral Afference, with Special Emphasis on Somatovisceral \u201cIllusions\u201d, Sage Publications, Inc."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"175","DOI":"10.3758\/BF03193146","article-title":"G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences","volume":"39","author":"Faul","year":"2007","journal-title":"Behav. Res. 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