{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T15:51:45Z","timestamp":1776095505505,"version":"3.50.1"},"reference-count":146,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T00:00:00Z","timestamp":1746144000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Hum.-Comput. Interact."],"published-print":{"date-parts":[[2025,5,2]]},"abstract":"<jats:p>\n            Non-cognitive skills are crucial for personal and social life well-being, and such skill development can be supported by narrative-based (e.g., storytelling) technologies. While generative AI enables interactive and role-playing storytelling, little is known about how users engage with and perceive the use of AI in social life simulation for non-cognitive skills learning. Additionally, the benefits of AI mentorship on self-reflection awareness and ability in this context remain largely underexplored. To this end, we introduced\n            <jats:italic toggle=\"yes\">Simulife++<\/jats:italic>\n            , an interactive platform enabled by a large language model (LLM). The system allows users to act as protagonists, creating stories with one or multiple AI-based characters in diverse social scenarios. In particular, we expanded the Human-AI interaction to a Human-AI-AI collaboration by including a\n            <jats:italic toggle=\"yes\">Sage Agent<\/jats:italic>\n            , who acts as a bystander, providing users with some perspectives and guidance on their choices and conversations in terms of non-cognitive skills to promote reflection. In a within-subject user study, our quantitative results reveal that, when accompanied by\n            <jats:italic toggle=\"yes\">Sage Agent<\/jats:italic>\n            , users exhibit significantly higher levels of reflection on motivation, self-perceptions, and resilience &amp; coping, along with an enhanced experience of narrative transportation. Additionally, our qualitative findings suggest that Sage Agent plays a crucial role in promoting reflection on non-cognitive skills, enhancing social communication and decision-making performance, and improving overall user experience within\n            <jats:italic toggle=\"yes\">Simulife++<\/jats:italic>\n            . Multiple supportive relationships between\n            <jats:italic toggle=\"yes\">Sage Agent<\/jats:italic>\n            and users were also reported. We offer design implications for the application of generative AI in narrative solutions and the future potential of Sage Agent for non-cognitive skill development in broader social contexts. Our quantitative data and code are released at https:\/\/github.com\/yzihan\/Simulife.\n          <\/jats:p>","DOI":"10.1145\/3711068","type":"journal-article","created":{"date-parts":[[2025,5,3]],"date-time":"2025-05-03T01:35:05Z","timestamp":1746236105000},"page":"1-44","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Social Life Simulation for Non-Cognitive Skills Learning"],"prefix":"10.1145","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5298-4839","authenticated-orcid":false,"given":"Zihan","family":"Yan","sequence":"first","affiliation":[{"name":"University of Illinois Urbana-Champaign, Champaign, Illinois, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3439-537X","authenticated-orcid":false,"given":"Yaohong","family":"Xiang","sequence":"additional","affiliation":[{"name":"Northeastern University, Boston, MA, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,5,2]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/265941"},{"key":"e_1_2_1_2_1","volume-title":"The Blackwell handbook of mentoring: A multiple perspectives approach","author":"Allen Tammy D","unstructured":"Tammy D Allen and Lillian T Eby. 2011. 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