{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:28Z","timestamp":1750309588810,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T00:00:00Z","timestamp":1744675200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100006754","name":"Army Research Laboratory","doi-asserted-by":"publisher","award":["W911NF2120126"],"award-info":[{"award-number":["W911NF2120126"]}],"id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006754","name":"Army Research Laboratory","doi-asserted-by":"publisher","award":["W911NF2120101"],"award-info":[{"award-number":["W911NF2120101"]}],"id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006754","name":"Army Research Laboratory","doi-asserted-by":"publisher","award":["W911NF2320203"],"award-info":[{"award-number":["W911NF2320203"]}],"id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,4,15]]},"DOI":"10.1145\/3723498.3723793","type":"proceedings-article","created":{"date-parts":[[2025,5,9]],"date-time":"2025-05-09T12:04:41Z","timestamp":1746792281000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Dice Adventure: An Asymmetrical Collaborative Game for Exploring the Hybrid Teaming Effects"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5223-9473","authenticated-orcid":false,"given":"Qiao","family":"Zhang","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, Georgia, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4749-1437","authenticated-orcid":false,"given":"Glen","family":"Smith","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, Georgia, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4149-2117","authenticated-orcid":false,"given":"Ziyu","family":"Li","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5734-6119","authenticated-orcid":false,"given":"Yuxuan","family":"Dong","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3019-3627","authenticated-orcid":false,"given":"Erik","family":"Harpstead","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, Pennsylvania, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3084-5189","authenticated-orcid":false,"given":"Christopher","family":"Maclellan","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology, Atlanta, Georgia, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,5,9]]},"reference":[{"key":"e_1_3_3_3_2_2","doi-asserted-by":"crossref","unstructured":"David\u00a0H Autor. 2015. Why are there still so many jobs? The history and future of workplace automation. Journal of economic perspectives 29 3 (2015) 3\u201330.","DOI":"10.1257\/jep.29.3.3"},{"key":"e_1_3_3_3_3_2","unstructured":"Christopher Berner Greg Brockman Brooke Chan Vicki Cheung Przemys\u0142aw D\u0119biak Christy Dennison David Farhi Quirin Fischer Shariq Hashme Chris Hesse et\u00a0al. 2019. Dota 2 with large scale deep reinforcement learning. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1912.06680 (2019)."},{"key":"e_1_3_3_3_4_2","unstructured":"Micah Carroll Rohin Shah Mark\u00a0K Ho Tom Griffiths Sanjit Seshia Pieter Abbeel and Anca Dragan. 2019. On the utility of learning about humans for human-ai coordination. Advances in neural information processing systems 32 (2019)."},{"key":"e_1_3_3_3_5_2","first-page":"1572","volume-title":"Conference on Robot Learning","author":"Chen Kevin","year":"2021","unstructured":"Kevin Chen, Nithin\u00a0Shrivatsav Srikanth, David Kent, Harish Ravichandar, and Sonia Chernova. 2021. Learning hierarchical task networks with preferences from unannotated demonstrations. In Conference on Robot Learning. PMLR, 1572\u20131581."},{"key":"e_1_3_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/EDUCON.2019.8725135"},{"key":"e_1_3_3_3_7_2","doi-asserted-by":"crossref","unstructured":"Sidney\u00a0WA Dekker and David\u00a0D Woods. 2002. MABA-MABA or abracadabra? Progress on human\u2013automation co-ordination. Cognition Technology & Work 4 (2002) 240\u2013244.","DOI":"10.1007\/s101110200022"},{"key":"e_1_3_3_3_8_2","unstructured":"Paul\u00a0M Fitts MS Viteles NL Barr DR Brimhall Glen Finch Eric Gardner WF Grether WE Kellum and SS Stevens. 1951. Human engineering for an effective air-navigation and traffic-control system and appendixes 1 thru 3. Ohio State Univ Research Foundation Columbus (1951)."},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3582437.3587200"},{"key":"e_1_3_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/3337722.3337731"},{"key":"e_1_3_3_3_11_2","doi-asserted-by":"crossref","unstructured":"Matthew Johnson and Alonso Vera. 2019. No AI is an island: the case for teaming intelligence. AI magazine 40 1 (2019) 16\u201328.","DOI":"10.1609\/aimag.v40i1.2842"},{"key":"e_1_3_3_3_12_2","doi-asserted-by":"crossref","unstructured":"Sergey Karakovskiy and Julian Togelius. 2012. The mario ai benchmark and competitions. IEEE Transactions on Computational Intelligence and AI in Games 4 1 (2012) 55\u201367.","DOI":"10.1109\/TCIAIG.2012.2188528"},{"key":"e_1_3_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.4324\/9780203786826-2"},{"key":"e_1_3_3_3_14_2","unstructured":"Manzoor\u00a0Ahmed Khan Adel Merabet Shamma Alkaabi and Hesham\u00a0El Sayed. 2022. Game-based learning platform to enhance cybersecurity education. Education and Information Technologies (2022) 1\u201325."},{"key":"e_1_3_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1177\/1071181322661047"},{"key":"e_1_3_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/SIEDS61124.2024.10534646"},{"key":"e_1_3_3_3_17_2","doi-asserted-by":"crossref","unstructured":"Jason\u00a0S Metcalfe Brandon\u00a0S Perelman David\u00a0L Boothe and Kaleb Mcdowell. 2021. Systemic Oversimplification Limits the Potential for Human-AI Partnership. IEEE Access 9 (2021) 70242\u201370260.","DOI":"10.1109\/ACCESS.2021.3078298"},{"key":"e_1_3_3_3_18_2","doi-asserted-by":"publisher","DOI":"10.1609\/aiide.v14i1.13044"},{"key":"e_1_3_3_3_19_2","unstructured":"Rohan Paleja Muyleng Ghuy Nadun Ranawaka\u00a0Arachchige Reed Jensen and Matthew Gombolay. 2021. The utility of explainable ai in ad hoc human-machine teaming. Advances in neural information processing systems 34 (2021) 610\u2013623."},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9869"},{"key":"e_1_3_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1177\/1071181311551310"},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/CIG.2015.7317949"},{"key":"e_1_3_3_3_23_2","unstructured":"Antonin Raffin Ashley Hill Adam Gleave Anssi Kanervisto Maximilian Ernestus and Noah Dormann. 2021. Stable-Baselines3: Reliable Reinforcement Learning Implementations. Journal of Machine Learning Research 22 268 (2021) 1\u20138. http:\/\/jmlr.org\/papers\/v22\/20-1364.html"},{"key":"e_1_3_3_3_24_2","unstructured":"Andres Rosero Faustina Dinh Ewart\u00a0J de Visser Tyler Shaw and Elizabeth Phillips. 2021. Two many cooks: Understanding dynamic human-agent team communication and perception using overcooked 2. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2110.03071 (2021)."},{"key":"e_1_3_3_3_25_2","unstructured":"John Schulman Filip Wolski Prafulla Dhariwal Alec Radford and Oleg Klimov. 2017. Proximal policy optimization algorithms. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/1707.06347 (2017)."},{"key":"e_1_3_3_3_26_2","first-page":"259","volume-title":"NeurIPS 2021 Competitions and Demonstrations Track","author":"Shah Rohin","year":"2022","unstructured":"Rohin Shah, Steven\u00a0H Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius\u00a0G Goecks, Nicholas Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, et\u00a0al. 2022. Retrospective on the 2021 minerl BASALT competition on learning from human feedback. In NeurIPS 2021 Competitions and Demonstrations Track. PMLR, 259\u2013272."},{"key":"e_1_3_3_3_27_2","doi-asserted-by":"crossref","unstructured":"Kimberly Stowers Lisa\u00a0L Brady Christopher MacLellan Ryan Wohleber and Eduardo Salas. 2021. Improving teamwork competencies in human-machine teams: Perspectives from team science. Frontiers in Psychology 12 (2021) 590290.","DOI":"10.3389\/fpsyg.2021.590290"},{"key":"e_1_3_3_3_28_2","doi-asserted-by":"crossref","unstructured":"Kimberly Stowers James Oglesby Shirley Sonesh Kevin Leyva Chelsea Iwig and Eduardo Salas. 2017. A framework to guide the assessment of human\u2013machine systems. Human factors 59 2 (2017) 172\u2013188.","DOI":"10.1177\/0018720817695077"},{"key":"e_1_3_3_3_29_2","unstructured":"Penelope Sweetser and Janet Wiles. 2002. Current AI in games: A review. Australian Journal of Intelligent Information Processing Systems 8 1 (2002) 24\u201342."},{"key":"e_1_3_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.15439\/2020F126"},{"key":"e_1_3_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613905.3636308"},{"key":"e_1_3_3_3_32_2","doi-asserted-by":"publisher","DOI":"10.1609\/aiide.v19i1.27541"},{"key":"e_1_3_3_3_33_2","doi-asserted-by":"crossref","unstructured":"Rui Zhang Nathan\u00a0J McNeese Guo Freeman and Geoff Musick. 2021. \" An ideal human\" expectations of AI teammates in human-AI teaming. Proceedings of the ACM on Human-Computer Interaction 4 CSCW3 (2021) 1\u201325.","DOI":"10.1145\/3432945"}],"event":{"name":"FDG '25: International Conference on the Foundations of Digital Games","acronym":"FDG '25","location":"Vienna & Graz Austria"},"container-title":["Proceedings of the 20th International Conference on the Foundations of Digital Games"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723498.3723793","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3723498.3723793","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:56:46Z","timestamp":1750298206000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3723498.3723793"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,15]]},"references-count":32,"alternative-id":["10.1145\/3723498.3723793","10.1145\/3723498"],"URL":"https:\/\/doi.org\/10.1145\/3723498.3723793","relation":{},"subject":[],"published":{"date-parts":[[2025,4,15]]},"assertion":[{"value":"2025-05-09","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}