{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:48:34Z","timestamp":1742914114816,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":29,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819611508"},{"type":"electronic","value":"9789819611515"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-96-1151-5_11","type":"book-chapter","created":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T16:02:03Z","timestamp":1738857723000},"page":"104-118","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["ROOTED: An\u00a0Open Source Toolkit for\u00a0Dialogue Systems in\u00a0Human Robot Interaction"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2869-1715","authenticated-orcid":false,"given":"Antonio Galiza Cerdeira","family":"Gonzalez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4657-2613","authenticated-orcid":false,"given":"Ikuo","family":"Mizuuchi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3798-9209","authenticated-orcid":false,"given":"Bipin","family":"Indurkhya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,7]]},"reference":[{"key":"11_CR1","unstructured":"Abhimanyu, D., et\u00a0al.: The llama 3 herd of models (2024)"},{"key":"11_CR2","unstructured":"Addlesee, A.: Grounding LLMs to in-prompt instructions: reducing hallucinations caused by static pre-training knowledge. In: Proceedings of Safety4ConvAI, pp.\u00a01\u20137. ELRA and ICCL, Torino, Italia (2024)"},{"key":"11_CR3","unstructured":"Ayyamperumal, S.G., Ge, L.: Current state of LLM risks and AI guardrails (2024)"},{"issue":"4","key":"11_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3181671","volume":"8","author":"AL Baker","year":"2018","unstructured":"Baker, A.L., Phillips, E.K., Ullman, D., Keebler, J.R.: Toward an understanding of trust repair in human-robot interaction: current research and future directions. ACM Trans. Interact. Intell. Syst. (TiiS) 8(4), 1\u201330 (2018)","journal-title":"ACM Trans. Interact. Intell. Syst. (TiiS)"},{"issue":"2","key":"11_CR5","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1080\/01638539609544956","volume":"21","author":"NO Bernsen","year":"1996","unstructured":"Bernsen, N.O., Dybkj\u00e6r, H., Dybkj\u00e6r, L.: Cooperativity in human-machine and human-human spoken dialogue. Discourse Process. 21(2), 213\u2013236 (1996)","journal-title":"Discourse Process."},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Bono, A., Brameld, K., D\u2019Alfonso, L., Fedele, G.: Open access NAO (OAN): a ROS2-based software framework for HRI applications with the NAO robot (2024)","DOI":"10.1109\/RO-MAN60168.2024.10731252"},{"key":"11_CR7","unstructured":"Brown, K.: Concise Encyclopedia of Pragmatics. Elsevier (2009)"},{"key":"11_CR8","unstructured":"Chen, W., et\u00a0al.: From yes-men to truth-tellers: addressing sycophancy in large language models with pinpoint tuning. In: Forty-First International Conference on Machine Learning (2024)"},{"key":"11_CR9","unstructured":"Conover, M., et\u00a0al.: Free dolly: introducing the world\u2019s first truly open instruction-tuned LLM. Databricks Blog (2023). https:\/\/www.databricks.com\/blog\/2023\/04\/12\/dolly-first-open-commercially-viable-instruction-tuned-llm. Accessed 31 May 2023"},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Ekman, P.: Facial expressions of emotion: new findings, new questions (1992)","DOI":"10.1111\/j.1467-9280.1992.tb00253.x"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Gonzalez, A.G.C., Venture, G., Mizuuchi, I.: VGG-16 neural network-based visual artificial potential field for autonomous navigation of ground robots. In: International Conference on Intelligent Autonomous Systems, pp. 155\u2013168. Springer (2023)","DOI":"10.1007\/978-3-031-44981-9_13"},{"key":"11_CR12","doi-asserted-by":"publisher","unstructured":"Kawakami, A., et\u00a0al.: Potpet: pet-like flowerpot robot. In: Proceedings of the Fifth International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2011, pp. 263\u2013264. Association for Computing Machinery, New York (2010). https:\/\/doi.org\/10.1145\/1935701.1935755","DOI":"10.1145\/1935701.1935755"},{"key":"11_CR13","unstructured":"Li, J., et\u00a0al.: Banishing LLM hallucinations requires rethinking generalization (2024)"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Miehling, E., Nagireddy, M., Sattigeri, P., Daly, E.M., Piorkowski, D., Richards, J.T.: Language models in dialogue: conversational maxims for human-AI interactions (2024)","DOI":"10.18653\/v1\/2024.findings-emnlp.843"},{"key":"11_CR15","doi-asserted-by":"crossref","unstructured":"Mok, J., et\u00a0al.: LLM-based frameworks for API argument filling in task-oriented conversational systems (2024)","DOI":"10.18653\/v1\/2024.naacl-industry.36"},{"key":"11_CR16","doi-asserted-by":"crossref","unstructured":"Mondal, A., Gokhale, S.S.: Mining emotions on Plutchik\u2019s wheel. In: 2020 Seventh International Conference on Social Networks Analysis, Management and Security (SNAMS), pp.\u00a01\u20136. IEEE (2020)","DOI":"10.1109\/SNAMS52053.2020.9336534"},{"issue":"4","key":"11_CR17","doi-asserted-by":"publisher","first-page":"3055","DOI":"10.1007\/s10462-022-10248-8","volume":"56","author":"J Ni","year":"2023","unstructured":"Ni, J., Young, T., Pandelea, V., Xue, F., Cambria, E.: Recent advances in deep learning based dialogue systems: a systematic survey. Artif. Intell. Rev. 56(4), 3055\u20133155 (2023)","journal-title":"Artif. Intell. Rev."},{"key":"11_CR18","doi-asserted-by":"crossref","unstructured":"Park, D., et\u00a0al.: Multiprageval: multilingual pragmatic evaluation of large language models (2024)","DOI":"10.18653\/v1\/2024.genbench-1.7"},{"key":"11_CR19","unstructured":"Radford, A., et\u00a0al.: Improving language understanding by generative pre-training. OpenAI (2018)"},{"key":"11_CR20","unstructured":"Rein, D., et\u00a0al.: GPQA: a graduate-level google-proof Q &A benchmark (2023)"},{"key":"11_CR21","unstructured":"Saito, K., Wachi, A., Wataoka, K., Akimoto, Y.: Verbosity bias in preference labeling by large language models. arXiv preprint arXiv:2310.10076 (2023)"},{"key":"11_CR22","doi-asserted-by":"crossref","unstructured":"Sawaki, F., Yasu, K., Inami, M.: Flona: development of an interface that implements lifelike behaviors to a plant. In: International Conference on Advances in Computer Entertainment Technology, pp. 557\u2013560. Springer (2012)","DOI":"10.1007\/978-3-642-34292-9_58"},{"key":"11_CR23","unstructured":"Sekuli\u0107, I., et\u00a0al.: Reliable LLM-based user simulator for task-oriented dialogue systems (2024)"},{"key":"11_CR24","doi-asserted-by":"crossref","unstructured":"Stocker, J., et\u00a0al.: Towards adaptive robotic green plants. In: Conference Towards Autonomous Robotic Systems, pp. 422\u2013423. Springer (2011)","DOI":"10.1007\/978-3-642-23232-9_58"},{"key":"11_CR25","doi-asserted-by":"publisher","unstructured":"V\u00e1zquez, A., et\u00a0al.: Dialogue management and language generation for a robust conversational virtual coach: validation and user study. Sensors 23(3) (2023). https:\/\/doi.org\/10.3390\/s23031423","DOI":"10.3390\/s23031423"},{"key":"11_CR26","doi-asserted-by":"publisher","unstructured":"Yang, D., Chen, F., Fang, H.: Behavior alignment: a new perspective of evaluating LLM-based conversational recommendation systems. In: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2286\u20132290. Association for Computing Machinery, New York (2024). https:\/\/doi.org\/10.1145\/3626772.3657924","DOI":"10.1145\/3626772.3657924"},{"issue":"4","key":"11_CR27","doi-asserted-by":"publisher","first-page":"505","DOI":"10.20965\/jrm.2014.p0505","volume":"26","author":"M Yuasa","year":"2014","unstructured":"Yuasa, M., Mizuuchi, I.: A control method for a swarm of plant pot robots that uses artificial potential fields for effective utilization of sunlight. J. Robot. Mechatron. 26(4), 505\u2013512 (2014)","journal-title":"J. Robot. Mechatron."},{"key":"11_CR28","doi-asserted-by":"crossref","unstructured":"Yuasa, M., Nishiki, S., Mizuuchi, I.: 1a1-q05 \u81ea\u5f8b\u79fb\u52d5\u53ef\u80fd\u306a\u679c\u6a39\u683d\u57f9\u578b plantroid \u306e\u958b\u767a (\u8fb2\u696d\u7528\u30ed\u30dc\u30c3\u30c8\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9). In: \u30ed\u30dc\u30c6\u30a3\u30af\u30b9\u30fb\u30e1\u30ab\u30c8\u30ed\u30cb\u30af\u30b9\u8b1b\u6f14\u4f1a\u8b1b\u6f14\u6982\u8981\u96c6 2013. pp. _1A1\u2013Q05_1. \u4e00\u822c\u793e\u56e3\u6cd5\u4eba \u65e5\u672c\u6a5f\u68b0\u5b66\u4f1a (2013)","DOI":"10.1299\/jsmermd.2013._1A1-Q05_1"},{"key":"11_CR29","unstructured":"Zheng, Z., et\u00a0al.: Response length perception and sequence scheduling: an LLM-empowered LLM inference pipeline. In: Oh, A., et\u00a0al. (eds.) Advances in Neural Information Processing Systems, vol.\u00a036, pp. 65517\u201365530. Curran Associates, Inc. (2023)"}],"container-title":["Lecture Notes in Computer Science","Social Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-1151-5_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,6]],"date-time":"2025-02-06T16:02:11Z","timestamp":1738857731000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-1151-5_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9789819611508","9789819611515"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-1151-5_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"7 February 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSR + InnoBiz","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Social Robotics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"socrob2024b","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.asianlp.sg\/conferences\/icsr2024\/web\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}