{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T15:18:53Z","timestamp":1758640733713,"version":"3.44.0"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643686110","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T00:00:00Z","timestamp":1758499200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,22]]},"abstract":"<jats:p>Trust is a well-established and extensively studied concept in the humanitarian field, yet its highly subjective nature, dependence on a wide range of influencing factors, and the absence of a single, unified definition pose significant challenges when attempting to apply it to Human-AI teams. However, being able to assess and recognize when to trust an agent is crucial, especially when deciding whether to delegate tasks or to collaborate on more intricate tasks within a team. Existing work has studied the integration of specific computable factors, which are known to influence trust. In this work, we study how these methods transfer to a more concrete Human-AI collaborative puzzle game. In this setting, the AI agent employs a trust-aware Reinforcement Learning algorithm, while the Human agent\u2019s behavior is emulated through the use of a Large Language Model. Our study considers the realistic condition of heterogeneous agents, each skilled in different areas, and we demonstrate that trust-awareness, particularly the ability to make justified decisions about task delegation, is essential for the successful operation of the team. This scenario serves as a testbed for evaluating methods of trust integration and their impact on Human-AI collaboration.<\/jats:p>","DOI":"10.3233\/faia250625","type":"book-chapter","created":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T14:34:57Z","timestamp":1758638097000},"source":"Crossref","is-referenced-by-count":0,"title":["Human-AI Collaboration via Trust Factors: A Collaborative Game Use Case"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-0764-3965","authenticated-orcid":false,"given":"Andrea","family":"Fanti","sequence":"first","affiliation":[{"name":"Sapienza University of Rome"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2040-3355","authenticated-orcid":false,"given":"Francesco","family":"Frattolillo","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-9508-5235","authenticated-orcid":false,"given":"Rosapia","family":"Laudati","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9116-251X","authenticated-orcid":false,"given":"Fabio","family":"Patrizi","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9057-8946","authenticated-orcid":false,"given":"Luca","family":"Iocchi","sequence":"additional","affiliation":[{"name":"Sapienza University of Rome"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","HHAI 2025"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA250625","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T14:34:58Z","timestamp":1758638098000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA250625"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,22]]},"ISBN":["9781643686110"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia250625","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,22]]}}}