{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T22:40:09Z","timestamp":1748558409692,"version":"3.41.0"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031929694","type":"print"},{"value":"9783031929700","type":"electronic"}],"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\/978-3-031-92970-0_11","type":"book-chapter","created":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T12:18:36Z","timestamp":1748521116000},"page":"153-170","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Interactive Sensemaking with\u00a0SurveySense: Enhancing Survey Insights Through Human-AI Collaboration on\u00a0an\u00a0LLM-Based Platform"],"prefix":"10.1007","author":[{"given":"Jia Hui","family":"Bong","sequence":"first","affiliation":[]},{"given":"Chang","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Sing Yee","family":"Toh","sequence":"additional","affiliation":[]},{"given":"Siyuan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Xiuyi","family":"Fan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,5,25]]},"reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1191\/1478088706qp063oa","volume":"3","author":"V Braun","year":"2006","unstructured":"Braun, V., Clarke, V.: Using thematic analysis in psychology. Qual. Res. Psychol. 3, 77\u2013101 (2006). https:\/\/doi.org\/10.1191\/1478088706qp063oa","journal-title":"Qual. Res. Psychol."},{"key":"11_CR2","unstructured":"Brooke, J.: SUS \u2013 a quick and dirty usability scale, pp. 189\u2013194. Taylor & Francis (1996)"},{"issue":"2","key":"11_CR3","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1177\/0170840614559259","volume":"36","author":"AD Brown","year":"2015","unstructured":"Brown, A.D., Colville, I., Pye, A.: Making sense of sensemaking in organization studies. Organ. Stud. 36(2), 265\u2013277 (2015)","journal-title":"Organ. Stud."},{"key":"11_CR4","unstructured":"Brown, T.B., et al.: Language models are few-shot learners (2020). https:\/\/arxiv.org\/abs\/2005.14165"},{"key":"11_CR5","unstructured":"Bryman, A.: Social Research Methods. Oxford University Press (2016)"},{"key":"11_CR6","doi-asserted-by":"publisher","unstructured":"Chubb, J., Cowling, P., Reed, D.: Speeding up to keep up: exploring the use of AI in the research process. AI & SOCIETY , 1\u201319 (2021). https:\/\/doi.org\/10.1007\/s00146-021-01259-0","DOI":"10.1007\/s00146-021-01259-0"},{"key":"11_CR7","doi-asserted-by":"publisher","unstructured":"Chung, C., Biddix, J., Park, H.: Using digital technology to address confirmability and scalability in thematic analysis of participant-provided data. The Qualitative Report 25(9), 3298\u20133311 (2020). https:\/\/doi.org\/10.46743\/2160-3715\/2020.4046","DOI":"10.46743\/2160-3715\/2020.4046"},{"key":"11_CR8","doi-asserted-by":"crossref","unstructured":"Dibia, V.: Lida: A tool for automatic generation of grammar-agnostic visualizations and infographics using large language models. arXiv preprint arXiv:2303.02927 (2023)","DOI":"10.18653\/v1\/2023.acl-demo.11"},{"key":"11_CR9","doi-asserted-by":"publisher","first-page":"1277","DOI":"10.1177\/1049732305276687","volume":"15","author":"HF Hsieh","year":"2005","unstructured":"Hsieh, H.F., Shannon, S.: Three approaches to qualitative content analysis. Qual. Health Res. 15, 1277\u201388 (2005). https:\/\/doi.org\/10.1177\/1049732305276687","journal-title":"Qual. Health Res."},{"issue":"3","key":"11_CR10","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.artmed.2012.09.002","volume":"56","author":"J Hunter","year":"2012","unstructured":"Hunter, J., Freer, Y., Gatt, A., Reiter, E., Sripada, S., Sykes, C.: Automatic generation of natural language nursing shift summaries in neonatal intensive care: Bt-nurse. Artif. Intell. Med. 56(3), 157\u2013172 (2012)","journal-title":"Artif. Intell. Med."},{"issue":"4","key":"11_CR11","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1093\/poq\/nfv039","volume":"79","author":"L Japec","year":"2015","unstructured":"Japec, L., Kreuter, F., Berg, M., Biemer, P., Decker, P., Lampe, C., Lane, J., O\u2019Neil, C., Usher, A.: Big data in survey research: Aapor task force report. Public Opin. Q. 79(4), 839\u2013880 (2015)","journal-title":"Public Opin. Q."},{"issue":"10","key":"11_CR12","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1007\/s10462-024-10888-y","volume":"57","author":"P Kumar","year":"2024","unstructured":"Kumar, P.: Large language models (llms): survey, technical frameworks, and future challenges. Artif. Intell. Rev. 57(10), 260 (2024). https:\/\/doi.org\/10.1007\/s10462-024-10888-y","journal-title":"Artif. Intell. Rev."},{"key":"11_CR13","first-page":"9459","volume":"33","author":"P Lewis","year":"2020","unstructured":"Lewis, P., et al.: Retrieval-augmented generation for knowledge-intensive nlp tasks. Adv. Neural. Inf. Process. Syst. 33, 9459\u20139474 (2020)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"11_CR14","unstructured":"Li, J., Tang, T., Zhao, W.X., Nie, J.Y., Wen, J.R.: Pretrained language models for text generation: a survey (2022). https:\/\/arxiv.org\/abs\/2201.05273"},{"key":"11_CR15","unstructured":"Lim, W.M.: What is qualitative research? an overview and guidelines. Australas. Mark. J. p. 14413582241264619 (2024)"},{"key":"11_CR16","unstructured":"Lu, C., Lu, C., Lange, R.T., Foerster, J., Clune, J., Ha, D.: The ai scientist: Towards fully automated open-ended scientific discovery (2024). https:\/\/arxiv.org\/abs\/2408.06292"},{"key":"11_CR17","unstructured":"Madsen, M., Gregor, S.: Measuring human-computer trust. In: 11th Australasian Conference on Information Systems. vol.\u00a053, pp.\u00a06\u20138. Citeseer (2000)"},{"key":"11_CR18","unstructured":"Mezmir, E.A.: Qualitative data analysis: an overview of data reduction, data display and interpretation. Res. Humanit. Soc. Sci. (2020). https:\/\/api.semanticscholar.org\/CorpusID:235928490"},{"key":"11_CR19","unstructured":"Min, B., et al.: Recent advances in natural language processing via large pre-trained language models: a survey (2021). https:\/\/arxiv.org\/abs\/2111.01243"},{"key":"11_CR20","unstructured":"Nayak, M., Narayan, K.: Strengths and weaknesses of online surveys. technology 6(7), 0837\u20132405053138 (2019)"},{"issue":"2","key":"11_CR21","doi-asserted-by":"publisher","first-page":"114","DOI":"10.5172\/mra.3.2.114","volume":"3","author":"AJ Onwuegbuzie","year":"2009","unstructured":"Onwuegbuzie, A.J., Johnson, R.B., Collins, K.M.: Call for mixed analysis: a philosophical framework for combining qualitative and quantitative approaches. Int. J. Multiple Res. Approaches 3(2), 114\u2013139 (2009)","journal-title":"Int. J. Multiple Res. Approaches"},{"key":"11_CR22","doi-asserted-by":"publisher","unstructured":"Parker, M.J., Anderson, C., Stone, C., Oh, Y.: A large language model approach to educational survey feedback analysis. Int. J. Artif. Intel. Educ., 1\u201338 (2024). https:\/\/doi.org\/10.1007\/s40593-024-00414-0","DOI":"10.1007\/s40593-024-00414-0"},{"issue":"1","key":"11_CR23","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1177\/0759106315597389","volume":"128","author":"R Popping","year":"2015","unstructured":"Popping, R.: Analyzing open-ended questions by means of text analysis procedures. Bull. Sociol. Methodol. \/Bulletin de M\u00e9thodologie Sociologique 128(1), 23\u201339 (2015)","journal-title":"Bull. Sociol. Methodol. \/Bulletin de M\u00e9thodologie Sociologique"},{"key":"11_CR24","unstructured":"Rea, L.M., Parker, R.A.: Designing and conducting survey research: a comprehensive guide. John Wiley & Sons (2014)"},{"key":"11_CR25","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1007\/s12325-016-0463-x","volume":"34","author":"PF Recinos","year":"2017","unstructured":"Recinos, P.F., Dunphy, C.J., Thompson, N., Schuschu, J., Urchek, J.L., Katzan, I.L.: Patient satisfaction with collection of patient-reported outcome measures in routine care. Adv. Ther. 34, 452\u2013465 (2017)","journal-title":"Adv. Ther."},{"issue":"1","key":"11_CR26","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.artint.2005.06.006","volume":"167","author":"E Reiter","year":"2005","unstructured":"Reiter, E., Sripada, S., Hunter, J., Yu, J., Davy, I.: Choosing words in computer-generated weather forecasts. Artif. Intell. 167(1), 137\u2013169 (2005)","journal-title":"Artif. Intell."},{"key":"11_CR27","unstructured":"Shi, L., Tang, Z., Yang, Z.: A survey on employing large language models for text-to-sql tasks. arXiv preprint arXiv:2407.15186 (2024)"},{"key":"11_CR28","doi-asserted-by":"crossref","unstructured":"Sutcliffe, K.M.: Sensemaking, pp. 1544\u20131547. Palgrave Macmillan (2018)","DOI":"10.1057\/978-1-137-00772-8_371"},{"key":"11_CR29","unstructured":"Vaswani, A., et al.: Attention is all you need (2023). https:\/\/arxiv.org\/abs\/1706.03762"},{"key":"11_CR30","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.eng.2022.04.024","volume":"25","author":"H Wang","year":"2023","unstructured":"Wang, H., Li, J., Wu, H., Hovy, E., Sun, Y.: Pre-trained language models and their applications. Engineering 25, 51\u201365 (2023). https:\/\/doi.org\/10.1016\/j.eng.2022.04.024","journal-title":"Engineering"},{"key":"11_CR31","doi-asserted-by":"crossref","unstructured":"Watson, D.B., Clark, L.A., Tellegen, A.: Development and validation of brief measures of positive and negative affect: the panas scales. J. Pers. Soc. Psychol. 54(6), 1063\u20131070 (1988). https:\/\/api.semanticscholar.org\/CorpusID:7679194","DOI":"10.1037\/\/0022-3514.54.6.1063"},{"key":"11_CR32","unstructured":"Wright, J.D., et\u00a0al.: Survey research and social science: history, current practice, and future prospects. Handb. Surv. Res., 3\u201326 (2010)"}],"container-title":["Lecture Notes in Computer Science","Adaptive Instructional Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-92970-0_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T22:05:59Z","timestamp":1748556359000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-92970-0_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031929694","9783031929700"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-92970-0_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"25 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"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":"Gothenburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}