{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T02:31:26Z","timestamp":1773801086139,"version":"3.50.1"},"reference-count":0,"publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AAAI"],"abstract":"<jats:p>Affective Forecasting is an psychology task that involves predicting an individual's future emotional responses, often hampered by reliance on external factors leading to inaccuracies, and typically remains at a qualitative analysis stage. To address these challenges, we narrows the scope of Affective Forecasting by introducing the concept of Human-interaction-based Emotion Forecasting (EF). This task is set within the context of a two-party interaction, positing that an individual's emotions are significantly influenced by their interaction partner's emotional expressions and informational cues. This dynamic provides a structured perspective for exploring the patterns of emotional change, thereby enhancing the feasibility of emotion forecasting.<\/jats:p>","DOI":"10.1609\/aaai.v40i3.37193","type":"journal-article","created":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T22:54:41Z","timestamp":1773788081000},"page":"2110-2118","source":"Crossref","is-referenced-by-count":0,"title":["Hi-EF: Benchmarking Emotion Forecasting in Human-interaction"],"prefix":"10.1609","volume":"40","author":[{"given":"Haoran","family":"Wang","sequence":"first","affiliation":[]},{"given":"Xinji","family":"Mai","sequence":"additional","affiliation":[]},{"given":"Zeng","family":"Tao","sequence":"additional","affiliation":[]},{"given":"Junxiong","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Xuan","family":"Tong","sequence":"additional","affiliation":[]},{"given":"Ivy","family":"Pan","sequence":"additional","affiliation":[]},{"given":"Shaoqi","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Shuyong","family":"Gao","sequence":"additional","affiliation":[]}],"member":"9382","published-online":{"date-parts":[[2026,3,14]]},"container-title":["Proceedings of the AAAI Conference on Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/37193\/41155","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/37193\/41155","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T22:54:41Z","timestamp":1773788081000},"score":1,"resource":{"primary":{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/37193"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,14]]},"references-count":0,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2026,3,17]]}},"URL":"https:\/\/doi.org\/10.1609\/aaai.v40i3.37193","relation":{},"ISSN":["2374-3468","2159-5399"],"issn-type":[{"value":"2374-3468","type":"electronic"},{"value":"2159-5399","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3,14]]}}}