{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T00:23:14Z","timestamp":1718410994079},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643685229","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T00:00:00Z","timestamp":1717545600000},"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":[[2024,6,5]]},"abstract":"This study investigates the optimization of Generative AI (GenAI) systems through human feedback, focusing on how varying feedback mechanisms influence the quality of GenAI outputs. We devised a Human-AI training loop where 32 students, divided into two groups, evaluated AI-generated responses based on a single prompt. One group assessed a single output, while the other compared two outputs. Preliminary results from this small-scale experiment suggest that comparative feedback might encourage more nuanced evaluations, highlighting the potential for improved human-AI collaboration in prompt optimization. Future research with larger samples is recommended to validate these findings and further explore effective feedback strategies for GenAI systems.<\/jats:p>","DOI":"10.3233\/faia240230","type":"book-chapter","created":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T14:53:42Z","timestamp":1717685622000},"source":"Crossref","is-referenced-by-count":0,"title":["Facilitating Human Feedback for GenAI Prompt Optimization"],"prefix":"10.3233","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-6048-587X","authenticated-orcid":false,"given":"Jacob","family":"Sherson","sequence":"first","affiliation":[{"name":"Center for Hybrid Intelligence, Dep. of Management, Aarhus University"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-3443-3683","authenticated-orcid":false,"given":"Florent","family":"Vinchon","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris-Cit\u00e9 and Gustave Eiffel, LAPEA, F-92100"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","HHAI 2024: Hybrid Human AI Systems for the Social Good"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA240230","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,14]],"date-time":"2024-06-14T13:55:13Z","timestamp":1718373313000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA240230"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,5]]},"ISBN":["9781643685229"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia240230","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,5]]}}}