{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,30]],"date-time":"2025-12-30T17:47:05Z","timestamp":1767116825142,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T00:00:00Z","timestamp":1745539200000},"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":[[2025,4,26]]},"DOI":"10.1145\/3706599.3721205","type":"proceedings-article","created":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T20:40:13Z","timestamp":1745440813000},"page":"1-7","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Context over Categories: Implementing the Theory of Constructed Emotion with LLM-Guided User Analysis"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2283-6263","authenticated-orcid":false,"given":"Nils","family":"Kl\u00fcwer","sequence":"first","affiliation":[{"name":"Christian Doppler Laboratory for Recommender Systems, TU Wien, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7101-3229","authenticated-orcid":false,"given":"Irina","family":"Nalis","sequence":"additional","affiliation":[{"name":"Christian Doppler Laboratory for Recommender Systems, TU Wien, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7184-1841","authenticated-orcid":false,"given":"Julia","family":"Neidhardt","sequence":"additional","affiliation":[{"name":"Christian Dopppler Laboratory for Reommender Systems, TU Wien, Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,4,25]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","unstructured":"Nourah Alswaidan and Mohamed El\u00a0Bachir Menai. 2020. A survey of state-of-the-art approaches for emotion recognition in text. Knowledge and Information Systems 62 8 (Aug. 2020) 2937\u20132987. 10.1007\/s10115-020-01449-0","DOI":"10.1007\/s10115-020-01449-0"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74628-727"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","unstructured":"Francesco Barbieri Jose Camacho-Collados Leonardo Neves and Luis Espinosa-Anke. 2020. TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. 10.48550\/arXiv.2010.12421 arXiv:https:\/\/arXiv.org\/abs\/2010.12421 [cs].","DOI":"10.48550\/arXiv.2010.12421"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","unstructured":"Lisa\u00a0Feldman Barrett. 2006. Solving the Emotion Paradox: Categorization and the Experience of Emotion. Personality and Social Psychology Review 10 1 (Feb. 2006) 20\u201346. 10.1207\/s15327957pspr10012","DOI":"10.1207\/s15327957pspr10012"},{"key":"e_1_3_3_1_6_2","volume-title":"How Emotions Are Made: The Secret Life of the Brain","author":"Barrett Lisa\u00a0Feldman","year":"2017","unstructured":"Lisa\u00a0Feldman Barrett. 2017. How Emotions Are Made: The Secret Life of the Brain. Pan Macmillan. https:\/\/books.google.at\/books?id=vjIvDQAAQBAJ Google-Books-ID: vjIvDQAAQBAJ."},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"crossref","unstructured":"Lisa\u00a0Feldman Barrett. 2017. The theory of constructed emotion: an active inference account of interoception and categorization. Social cognitive and affective neuroscience 12 1 (2017) 1\u201323. Publisher: Oxford University Press.","DOI":"10.1093\/scan\/nsx060"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","unstructured":"Lisa\u00a0Feldman Barrett. 2022. Context reconsidered: Complex signal ensembles relational meaning and population thinking in psychological science. American Psychologist 77 8 (Nov. 2022) 894\u2013920. 10.1037\/amp0001054","DOI":"10.1037\/amp0001054"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","unstructured":"Lisa\u00a0Feldman Barrett Kristen\u00a0A. Lindquist and Maria Gendron. 2007. Language as context for the perception of emotion. Trends in Cognitive Sciences 11 8 (Aug. 2007) 327\u2013332. 10.1016\/j.tics.2007.06.003 Publisher: Elsevier.","DOI":"10.1016\/j.tics.2007.06.003"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"Lisa\u00a0Feldman Barrett Batja Mesquita and Maria Gendron. 2011. Context in Emotion Perception. Current Directions in Psychological Science 20 5 (Oct. 2011) 286\u2013290. 10.1177\/0963721411422522 Number: 5 Publisher: SAGE Publications Inc.","DOI":"10.1177\/0963721411422522"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-821124-3.00002-8"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","unstructured":"Elijah Berberette Jack Hutchins and Amir Sadovnik. 2024. Redefining \"Hallucination\" in LLMs: Towards a psychology-informed framework for mitigating misinformation. 10.48550\/arXiv.2402.01769 arXiv:https:\/\/arXiv.org\/abs\/2402.01769 [cs] version: 1.","DOI":"10.48550\/arXiv.2402.01769"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","unstructured":"Marc Brysbaert. 2019. How many words do we read per minute? A review and meta-analysis of reading rate. Journal of Memory and Language 109 (Dec. 2019) 104047. 10.1016\/j.jml.2019.104047","DOI":"10.1016\/j.jml.2019.104047"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","unstructured":"Wei-Lin Chiang Lianmin Zheng Ying Sheng Anastasios\u00a0Nikolas Angelopoulos Tianle Li Dacheng Li Hao Zhang Banghua Zhu Michael Jordan Joseph\u00a0E. Gonzalez and Ion Stoica. 2024. Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference. 10.48550\/arXiv.2403.04132 arXiv:https:\/\/arXiv.org\/abs\/2403.04132 [cs].","DOI":"10.48550\/arXiv.2403.04132"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"crossref","unstructured":"Kate Crawford. 2021. The Atlas of AI: Power Politics and the Planetary Costs of Artificial Intelligence.","DOI":"10.12987\/9780300252392"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1423"},{"key":"e_1_3_3_1_17_2","doi-asserted-by":"publisher","unstructured":"Paul Ekman and Wallace\u00a0V. Friesen. 1971. Constants across cultures in the face and emotion. Journal of Personality and Social Psychology 17 2 (1971) 124\u2013129. 10.1037\/h0030377 Place: US Publisher: American Psychological Association.","DOI":"10.1037\/h0030377"},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.naacl-long.365"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","unstructured":"Maria Gendron Debi Roberson Jacoba\u00a0Marieta Van Der\u00a0Vyver and Lisa\u00a0Feldman Barrett. 2014. Cultural Relativity in Perceiving Emotion From Vocalizations. Psychological Science 25 4 (April 2014) 911\u2013920. 10.1177\/0956797613517239","DOI":"10.1177\/0956797613517239"},{"key":"e_1_3_3_1_20_2","unstructured":"Google. 2024. Controlled generation | Generative AI on Vertex AI. https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/multimodal\/control-generated-output"},{"key":"e_1_3_3_1_21_2","unstructured":"Google. 2024. Our next-generation model: Gemini 1.5. https:\/\/blog.google\/technology\/ai\/google-gemini-next-generation-model-february-2024\/"},{"key":"e_1_3_3_1_22_2","unstructured":"Google. 2025. Long context | Generative AI on Vertex AI. https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/long-context"},{"key":"e_1_3_3_1_23_2","unstructured":"Google. 2025. Structure prompts | Generative AI on Vertex AI. https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/learn\/prompts\/structure-prompts"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","unstructured":"Jia He Mukund Rungta David Koleczek Arshdeep Sekhon Franklin\u00a0X. Wang and Sadid Hasan. 2024. Does Prompt Formatting Have Any Impact on LLM Performance?10.48550\/arXiv.2411.10541 arXiv:https:\/\/arXiv.org\/abs\/2411.10541 [cs].","DOI":"10.48550\/arXiv.2411.10541"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","unstructured":"Steffen Herbold Alexander Trautsch Zlata Kikteva and Annette Hautli-Janisz. 2024. Large Language Models can impersonate politicians and other public figures. 10.48550\/arXiv.2407.12855 arXiv:https:\/\/arXiv.org\/abs\/2407.12855 [cs].","DOI":"10.48550\/arXiv.2407.12855"},{"key":"e_1_3_3_1_26_2","unstructured":"Alan\u00a0R Hevner. 2007. A three cycle view of design science research. Scandinavian journal of information systems 19 2 (2007) 4."},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"crossref","unstructured":"Alan\u00a0R Hevner Salvatore\u00a0T March Jinsoo Park and Sudha Ram. 2004. Design science in information systems research. MIS quarterly (2004) 75\u2013105. Publisher: JSTOR.","DOI":"10.2307\/25148625"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","unstructured":"Ziwei Ji Nayeon Lee Rita Frieske Tiezheng Yu Dan Su Yan Xu Etsuko Ishii Ye\u00a0Jin Bang Andrea Madotto and Pascale Fung. 2023. Survey of Hallucination in Natural Language Generation. ACM Comput. Surv. 55 12 (March 2023) 248:1\u2013248:38. 10.1145\/3571730","DOI":"10.1145\/3571730"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"publisher","unstructured":"Aobo Kong Shiwan Zhao Hao Chen Qicheng Li Yong Qin Ruiqi Sun Xin Zhou Enzhi Wang and Xiaohang Dong. 2024. Better Zero-Shot Reasoning with Role-Play Prompting. 10.48550\/arXiv.2308.07702 arXiv:https:\/\/arXiv.org\/abs\/2308.07702 [cs].","DOI":"10.48550\/arXiv.2308.07702"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","unstructured":"Dawei Li Bohan Jiang Liangjie Huang Alimohammad Beigi Chengshuai Zhao Zhen Tan Amrita Bhattacharjee Yuxuan Jiang Canyu Chen Tianhao Wu Kai Shu Lu Cheng and Huan Liu. 2025. From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge. 10.48550\/arXiv.2411.16594 arXiv:https:\/\/arXiv.org\/abs\/2411.16594 [cs].","DOI":"10.48550\/arXiv.2411.16594"},{"key":"e_1_3_3_1_31_2","first-page":"74","volume-title":"Text Summarization Branches Out","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin. 2004. ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out. Association for Computational Linguistics, Barcelona, Spain, 74\u201381. https:\/\/aclanthology.org\/W04-1013\/"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","unstructured":"Kristen\u00a0A. Lindquist and Lisa\u00a0Feldman Barrett. 2008. Constructing Emotion: The Experience of Fear as a Conceptual Act. Psychological Science 19 9 (Sept. 2008) 898\u2013903. 10.1111\/j.1467-9280.2008.02174.x Publisher: SAGE Publications Inc.","DOI":"10.1111\/j.1467-9280.2008.02174.x"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","unstructured":"Saif\u00a0M. Mohammad and Peter\u00a0D. Turney. 2013. Crowdsourcing a Word\u2013Emotion Association Lexicon. Computational Intelligence 29 3 (2013) 436\u2013465. 10.1111\/j.1467-8640.2012.00460.x _eprint: https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/j.1467-8640.2012.00460.x.","DOI":"10.1111\/j.1467-8640.2012.00460.x"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"publisher","unstructured":"A. Moreo M. Romero J.\u00a0L. Castro and J.\u00a0M. Zurita. 2012. Lexicon-based Comments-oriented News Sentiment Analyzer system. Expert Systems with Applications 39 10 (Aug. 2012) 9166\u20139180. 10.1016\/j.eswa.2012.02.057","DOI":"10.1016\/j.eswa.2012.02.057"},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"publisher","DOI":"10.1145\/3563359.3596990"},{"key":"e_1_3_3_1_36_2","unstructured":"OpenAi. 2024. OpenAI o1 System Card. https:\/\/openai.com\/index\/openai-o1-system-card\/"},{"key":"e_1_3_3_1_37_2","unstructured":"OpenAi. 2024. Structured Output. https:\/\/platform.openai.com\/docs\/guides\/structured-outputs\/how-to-use?context=with_parse#how-to-use"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"publisher","unstructured":"Soujanya Poria Devamanyu Hazarika Navonil Majumder and Rada Mihalcea. 2023. Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research. IEEE Transactions on Affective Computing 14 1 (Jan. 2023) 108\u2013132. 10.1109\/TAFFC.2020.3038167 Conference Name: IEEE Transactions on Affective Computing.","DOI":"10.1109\/TAFFC.2020.3038167"},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"publisher","unstructured":"James\u00a0A. Russell. 2003. Core affect and the psychological construction of emotion. Psychological Review 110 1 (2003) 145\u2013172. 10.1037\/0033-295X.110.1.145 Place: US Publisher: American Psychological Association.","DOI":"10.1037\/0033-295X.110.1.145"},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.3115\/1621474.1621487"},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"publisher","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan\u00a0N. Gomez Lukasz Kaiser and Illia Polosukhin. 2023. Attention Is All You Need. 10.48550\/arXiv.1706.03762 arXiv:https:\/\/arXiv.org\/abs\/1706.03762 [cs].","DOI":"10.48550\/arXiv.1706.03762"},{"key":"e_1_3_3_1_42_2","unstructured":"Jason Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter Fei Xia Ed Chi Quoc\u00a0V. Le and Denny Zhou. 2022. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. Advances in Neural Information Processing Systems 35 (Dec. 2022) 24824\u201324837. https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2022\/hash\/9d5609613524ecf4f15af0f7b31abca4-Abstract-Conference.html"},{"key":"e_1_3_3_1_43_2","doi-asserted-by":"crossref","unstructured":"Hannes Werthner. 2024. Digital Transformation Digital Humanism: What Needs to Be Done. Hannes Werthner\u00b7 Carlo Ghezzi\u00b7 Jeff Kramer\u00b7 Julian Nida-R\u00fcmelin\u00b7 Bashar Nuseibeh\u00b7 Erich Prem\u00b7 (2024) 115.","DOI":"10.1007\/978-3-031-45304-5"},{"key":"e_1_3_3_1_44_2","doi-asserted-by":"publisher","unstructured":"Ali Yadollahi Ameneh\u00a0Gholipour Shahraki and Osmar\u00a0R. Zaiane. 2017. Current State of Text Sentiment Analysis from Opinion to Emotion Mining. ACM Comput. Surv. 50 2 (May 2017) 25:1\u201325:33. 10.1145\/3057270","DOI":"10.1145\/3057270"},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"publisher","unstructured":"Yifan Zhang Yang Yuan and Andrew Chi-Chih Yao. 2024. Meta Prompting for AI Systems. 10.48550\/arXiv.2311.11482 arXiv:https:\/\/arXiv.org\/abs\/2311.11482 [cs].","DOI":"10.48550\/arXiv.2311.11482"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"publisher","unstructured":"Lianmin Zheng Wei-Lin Chiang Ying Sheng Siyuan Zhuang Zhanghao Wu Yonghao Zhuang Zi Lin Zhuohan Li Dacheng Li Eric\u00a0P. Xing Hao Zhang Joseph\u00a0E. Gonzalez and Ion Stoica. 2023. Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena. 10.48550\/arXiv.2306.05685 arXiv:https:\/\/arXiv.org\/abs\/2306.05685 [cs].","DOI":"10.48550\/arXiv.2306.05685"}],"event":{"name":"CHI EA '25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Yokohama Japan","acronym":"CHI EA '25"},"container-title":["Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3721205","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3706599.3721205","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:18:39Z","timestamp":1750295919000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3706599.3721205"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,25]]},"references-count":45,"alternative-id":["10.1145\/3706599.3721205","10.1145\/3706599"],"URL":"https:\/\/doi.org\/10.1145\/3706599.3721205","relation":{},"subject":[],"published":{"date-parts":[[2025,4,25]]},"assertion":[{"value":"2025-04-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}