{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T15:13:36Z","timestamp":1783523616470,"version":"3.55.0"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032308481","type":"print"},{"value":"9783032308498","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-3-032-30849-8_7","type":"book-chapter","created":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T14:16:21Z","timestamp":1783520181000},"page":"124-141","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Meeting Retriever XX: Towards Trust-Calibrated Explanations in\u00a0Cross-Meeting Retrieval"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5379-1625","authenticated-orcid":false,"given":"Takuya","family":"Nakata","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9898-7370","authenticated-orcid":false,"given":"Sinan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1689-7620","authenticated-orcid":false,"given":"Masahide","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,9]]},"reference":[{"key":"7_CR1","unstructured":"Akindele, O.K., Mishra, B.K., Wertheim, K.Y.: A knowledge graph and a tripartite evaluation framework make retrieval-augmented generation scalable and transparent (2025). https:\/\/arxiv.org\/abs\/2509.19209"},{"key":"7_CR2","doi-asserted-by":"publisher","unstructured":"Al Machot, F., Horsch, M.T., Ullah, H.: Building trustworthy ai: transparent ai systems via\u00c2 language models, ontologies, and\u00c2 logical reasoning (transpnet). In: Al Machot, F., Horsch, M.T., Scholze, S. (eds.) Designing the Conceptual Landscape for a XAIR Validation Infrastructure. DCLXVI 2024. LNNS, vol. 1375, pp. 25\u201334. Springer, Cham (2025). https:\/\/doi.org\/10.1007\/978-3-031-89274-5_3","DOI":"10.1007\/978-3-031-89274-5_3"},{"key":"7_CR3","unstructured":"Baqar, M.: Rag4tickets: ai-powered ticket resolution via retrieval-augmented generation on jira and github data (2025). https:\/\/arxiv.org\/abs\/2510.08667"},{"key":"7_CR4","doi-asserted-by":"publisher","unstructured":"Brown, A., Roman, M., Devereux, B.: A systematic literature review of retrieval-augmented generation: techniques, metrics, and challenges. Big Data Cogn. Comput. 9(12) (2025). https:\/\/doi.org\/10.3390\/bdcc9120320","DOI":"10.3390\/bdcc9120320"},{"key":"7_CR5","doi-asserted-by":"publisher","unstructured":"Cheng, Q., et al.: Unified active retrieval for retrieval augmented generation. In: Al-Onaizan, Y., Bansal, M., Chen, Y.N. (eds.) Findings of the Association for Computational Linguistics: EMNLP 2024, pp. 17153\u201317166. Association for Computational Linguistics, Miami, Florida, USA (2024). https:\/\/doi.org\/10.18653\/v1\/2024.findings-emnlp.999","DOI":"10.18653\/v1\/2024.findings-emnlp.999"},{"key":"7_CR6","doi-asserted-by":"publisher","unstructured":"Cheng, S., Li, J., Wang, H., Ma, Y.: Ragtrace: understanding and refining retrieval-generation dynamics in retrieval-augmented generation. In: Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology, pp. 1\u201420. UIST \u201925, ACM (2025). https:\/\/doi.org\/10.1145\/3746059.3747741, http:\/\/dx.doi.org\/10.1145\/3746059.3747741","DOI":"10.1145\/3746059.3747741"},{"key":"7_CR7","unstructured":"Ding, T., Banerjee, A., Mombaerts, L., Li, Y., Borogovac, T., la\u00a0Cruz\u00a0Weinstein, J.P.D.: Vera: validation and evaluation of retrieval-augmented systems (2024). https:\/\/arxiv.org\/abs\/2409.03759"},{"key":"7_CR8","unstructured":"Jean, N., Pera, G.L.: Bridging human cognition and ai: a framework for explainable decision-making systems (2025)., https:\/\/arxiv.org\/abs\/2509.02388"},{"key":"7_CR9","unstructured":"Juhasz, M., Dutia, K., Franks, H., Delahunty, C., Mills, P.F., Pim, H.: Responsible retrieval augmented generation for climate decision making from documents (2024). https:\/\/arxiv.org\/abs\/2410.23902"},{"key":"7_CR10","doi-asserted-by":"publisher","unstructured":"Kim, S.S.Y.: Establishing appropriate trust in ai through transparency and explainability. In: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. CHI EA \u201924, Association for Computing Machinery, New York, NY, USA (2024). https:\/\/doi.org\/10.1145\/3613905.3638184","DOI":"10.1145\/3613905.3638184"},{"key":"7_CR11","doi-asserted-by":"publisher","unstructured":"Kovari, A.: AI for decision support: balancing accuracy, transparency, and trust across sectors. Information 15(11) (2024). https:\/\/doi.org\/10.3390\/info15110725","DOI":"10.3390\/info15110725"},{"key":"7_CR12","unstructured":"Ni, B., et al.: Towards trustworthy retrieval augmented generation for large language models: a survey (2025). https:\/\/arxiv.org\/abs\/2502.06872"},{"key":"7_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.datak.2023.102182","volume":"146","author":"AL Opdahl","year":"2023","unstructured":"Opdahl, A.L., et al.: Trustworthy journalism through ai. Data Knowl. Eng. 146, 102182 (2023). https:\/\/doi.org\/10.1016\/j.datak.2023.102182","journal-title":"Data Knowl. Eng."},{"key":"7_CR14","unstructured":"Shi, I., et al.: Esapiens: a platform for secure and auditable retrieval-augmented generation (2025). https:\/\/arxiv.org\/abs\/2507.09588"},{"key":"7_CR15","unstructured":"Sunny, A.D.: Trust in transparency: how explainable ai shapes user perceptions (2025). https:\/\/arxiv.org\/abs\/2510.04968"},{"issue":"4","key":"7_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2022.100455","volume":"3","author":"J Zerilli","year":"2022","unstructured":"Zerilli, J., Bhatt, U., Weller, A.: How transparency modulates trust in artificial intelligence. Patterns 3(4), 100455 (2022). https:\/\/doi.org\/10.1016\/j.patter.2022.100455","journal-title":"Patterns"},{"key":"7_CR17","unstructured":"Zhang, B., et al.: Practical poisoning attacks against retrieval-augmented generation (2026). https:\/\/arxiv.org\/abs\/2504.03957"},{"key":"7_CR18","doi-asserted-by":"publisher","unstructured":"Zhao, P., et al.: Retrieval-augmented generation for ai-generated content: a survey. Data Sci. Eng. (2026). https:\/\/doi.org\/10.1007\/s41019-025-00335-5","DOI":"10.1007\/s41019-025-00335-5"},{"key":"7_CR19","unstructured":"Zhou, P., Feng, Y., Yang, Z.: Provably secure retrieval-augmented generation (2025). https:\/\/arxiv.org\/abs\/2508.01084"},{"key":"7_CR20","unstructured":"Zhou, Y., et al.: Trustworthiness in retrieval-augmented generation systems: a survey (2024). https:\/\/arxiv.org\/abs\/2409.10102"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in HCI"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-30849-8_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T14:16:23Z","timestamp":1783520183000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-30849-8_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032308481","9783032308498"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-30849-8_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"9 July 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montreal, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2026.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}