The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition
dc.contributor.author | Mell, J. | |
dc.contributor.author | Gratch, J. | |
dc.contributor.author | Aydoğan, Reyhan | |
dc.contributor.author | Baarslag, T. | |
dc.contributor.author | Jonker, C. M. | |
dc.date.accessioned | 2020-08-25T08:35:55Z | |
dc.date.available | 2020-08-25T08:35:55Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-1-7281-3888-6 | |
dc.identifier.issn | 2156-8103 | en_US |
dc.identifier.uri | http://hdl.handle.net/10679/6823 | |
dc.identifier.uri | https://ieeexplore.ieee.org/document/8925437 | |
dc.description.abstract | We present the results of the 2nd Annual Human-Agent League of the Automated Negotiating Agent Competition. Building on the success of the previous year's results, a new challenge was issued that focused exploring the likeability-success tradeoff in negotiations. By examining a series of repeated negotiations, actions may affect the relationship between automated negotiating agents and their human competitors over time. The results presented herein support a more complex view of human-agent negotiation and capture of integrative potential (win-win solutions). We show that, although likeability is generally seen as a tradeoff to winning, agents are able to remain well-liked while winning if integrative potential is not discovered in a given negotiation. The results indicate that the top-performing agent in this competition took advantage of this loophole by engaging in favor exchange across negotiations (cross-game logrolling). These exploratory results provide information about the effects of different submitted "black-box" agents in humanagent negotiation and provide a state-of-the-art benchmark for human-agent design. | en_US |
dc.description.sponsorship | Netherlands Organization for Scientific Research (NWO) ; United States Department of Defense Air Force Office of Scientific Research (AFOSR) | |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII) | |
dc.rights | restrictedAccess | |
dc.title | The likeability-success tradeoff: results of the 2nd annual human-agent automated negotiating agents competition | en_US |
dc.type | Conference paper | en_US |
dc.publicationstatus | Published | en_US |
dc.contributor.department | Özyeğin University | |
dc.contributor.authorID | (ORCID 0000-0002-5260-9999 & YÖK ID 145578) Aydoğan, Reyhan | |
dc.contributor.ozuauthor | Aydoğan, Reyhan | |
dc.identifier.wos | WOS:000522220800003 | |
dc.identifier.doi | 10.1109/ACII.2019.8925437 | en_US |
dc.subject.keywords | Human agent interaction | en_US |
dc.subject.keywords | Negotiation | en_US |
dc.subject.keywords | Empirical results in HCI | en_US |
dc.identifier.scopus | SCOPUS:2-s2.0-85077789815 | |
dc.contributor.authorFemale | 1 | |
dc.relation.publicationcategory | Conference Paper - International - Institutional Academic Staff |
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