{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:09:31Z","timestamp":1750219771098,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T00:00:00Z","timestamp":1686528000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,6,12]]},"DOI":"10.1145\/3573381.3596463","type":"proceedings-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T17:51:36Z","timestamp":1693331496000},"page":"254-261","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Generating Utterances for Companion Robots using Television Program Subtitles"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7975-0733","authenticated-orcid":false,"given":"Yuta","family":"Hagio","sequence":"first","affiliation":[{"name":"Science & Technology Research Laboratories, NHK (Japan Broadcasting Corporation), Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4580-470X","authenticated-orcid":false,"given":"Makoto","family":"Okuda","sequence":"additional","affiliation":[{"name":"Science & Technology Research Laboratories, NHK (Japan Broadcasting Corporation), Japan"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9170-0384","authenticated-orcid":false,"given":"Marina","family":"Kamimura","sequence":"additional","affiliation":[{"name":"Science & Technology Research Laboratories, NHK (Japan Broadcasting Corporation), Japan"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4290-3959","authenticated-orcid":false,"given":"Yutaka","family":"Kaneko","sequence":"additional","affiliation":[{"name":"Science & Technology Research Laboratories, NHK (Japan Broadcasting Corporation), Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5818-790X","authenticated-orcid":false,"given":"Hisayuki","family":"Ohmata","sequence":"additional","affiliation":[{"name":"Science & Technology Research Laboratories, NHK (Japan Broadcasting Corporation), Japan"}]}],"member":"320","published-online":{"date-parts":[[2023,8,29]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5594\/JMI.2022.3160804"},{"key":"e_1_3_2_1_3_1","unstructured":"NHK Science & Technology\u00a0Research Laboratories. 2021. Open House 2021: Companion Robot That Watches TV Together with You. https:\/\/www.nhk.or.jp\/strl\/english\/open2021\/tenji\/10\/index.html.  NHK Science & Technology\u00a0Research Laboratories. 2021. Open House 2021: Companion Robot That Watches TV Together with You. https:\/\/www.nhk.or.jp\/strl\/english\/open2021\/tenji\/10\/index.html."},{"key":"#cr-split#-e_1_3_2_1_4_1.1","doi-asserted-by":"crossref","unstructured":"Shogo Nishimura Masayuki Kanbara and Norihiro Hagita. 2019. Atmosphere Sharing with TV Chat Agents for Increase of User's Motivation for Conversation. In Human Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance. 482-492. https:\/\/doi.org\/10.1007\/978-3-030-22012-9_35 10.1007\/978-3-030-22012-9_35","DOI":"10.1007\/978-3-030-22012-9_35"},{"key":"#cr-split#-e_1_3_2_1_4_1.2","doi-asserted-by":"crossref","unstructured":"Shogo Nishimura Masayuki Kanbara and Norihiro Hagita. 2019. Atmosphere Sharing with TV Chat Agents for Increase of User's Motivation for Conversation. In Human Aspects of IT for the Aged Population. Design for the Elderly and Technology Acceptance. 482-492. https:\/\/doi.org\/10.1007\/978-3-030-22012-9_35","DOI":"10.1007\/978-3-030-22012-9_35"},{"key":"e_1_3_2_1_5_1","unstructured":"OpenAI. 2022. ChatGPT: Optimizing Language Models for Dialogue. https:\/\/openai.com\/blog\/chatgpt\/.  OpenAI. 2022. ChatGPT: Optimizing Language Models for Dialogue. https:\/\/openai.com\/blog\/chatgpt\/."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.eacl-main.24"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the Twenty-three Annual Meeting of the Association for Natural Language Processing (in Japanese). NLP2017\u2013B6\u20131.","author":"Sato Toshinori","year":"2017","unstructured":"Toshinori Sato , Taiichi Hashimoto , and Manabu Okumura . 2017 . Implementation of a Word Segmentation Dictionary Called Mecab-ipadic-NEologd and Study on How to Use It Effectively for Information Retrieval . In Proceedings of the Twenty-three Annual Meeting of the Association for Natural Language Processing (in Japanese). NLP2017\u2013B6\u20131. Toshinori Sato, Taiichi Hashimoto, and Manabu Okumura. 2017. Implementation of a Word Segmentation Dictionary Called Mecab-ipadic-NEologd and Study on How to Use It Effectively for Information Retrieval. In Proceedings of the Twenty-three Annual Meeting of the Association for Natural Language Processing (in Japanese). NLP2017\u2013B6\u20131."},{"key":"e_1_3_2_1_8_1","volume-title":"The 36th Annual Conference of the Japanese Society for Artificial Intelligence (in Japanese). 2N5OS7a04\u20132N5OS7a04","author":"Sugiyama Hiroaki","year":"2022","unstructured":"Hiroaki Sugiyama , Ko Koga , and Toshifumi Nishijima . 2022 . Conversational System That Talks about the Scenery Seen from Vehicles . In The 36th Annual Conference of the Japanese Society for Artificial Intelligence (in Japanese). 2N5OS7a04\u20132N5OS7a04 . https:\/\/doi.org\/10.11517\/pjsai.JSAI2022.0_2N5OS7a04 10.11517\/pjsai.JSAI2022.0_2N5OS7a04 Hiroaki Sugiyama, Ko Koga, and Toshifumi Nishijima. 2022. Conversational System That Talks about the Scenery Seen from Vehicles. In The 36th Annual Conference of the Japanese Society for Artificial Intelligence (in Japanese). 2N5OS7a04\u20132N5OS7a04. https:\/\/doi.org\/10.11517\/pjsai.JSAI2022.0_2N5OS7a04"},{"key":"#cr-split#-e_1_3_2_1_9_1.1","unstructured":"Hiroaki Sugiyama Masahiro Mizukami Tsunehiro Arimoto Hiromi Narimatsu Yuya Chiba Hideharu Nakajima and Toyomi Meguro. 2021. Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems. https:\/\/doi.org\/10.48550\/arXiv.2109.05217 arxiv:arXiv:2109.05217 10.48550\/arXiv.2109.05217"},{"key":"#cr-split#-e_1_3_2_1_9_1.2","unstructured":"Hiroaki Sugiyama Masahiro Mizukami Tsunehiro Arimoto Hiromi Narimatsu Yuya Chiba Hideharu Nakajima and Toyomi Meguro. 2021. Empirical Analysis of Training Strategies of Transformer-based Japanese Chit-chat Systems. https:\/\/doi.org\/10.48550\/arXiv.2109.05217 arxiv:arXiv:2109.05217"},{"key":"e_1_3_2_1_10_1","unstructured":"United Nations. 2019. Patterns and Trends in Household Size and Composition: Evidence From a United Nations Dataset.  United Nations. 2019. Patterns and Trends in Household Size and Composition: Evidence From a United Nations Dataset."}],"event":{"name":"IMX '23: ACM International Conference on Interactive Media Experiences","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGMM ACM Special Interest Group on Multimedia","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Nantes France","acronym":"IMX '23"},"container-title":["Proceedings of the 2023 ACM International Conference on Interactive Media Experiences"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573381.3596463","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3573381.3596463","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:25Z","timestamp":1750178245000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3573381.3596463"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,12]]},"references-count":11,"alternative-id":["10.1145\/3573381.3596463","10.1145\/3573381"],"URL":"https:\/\/doi.org\/10.1145\/3573381.3596463","relation":{},"subject":[],"published":{"date-parts":[[2023,6,12]]},"assertion":[{"value":"2023-08-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}