{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T02:52:22Z","timestamp":1764557542508,"version":"3.37.3"},"reference-count":63,"publisher":"Informa UK Limited","issue":"5-6","funder":[{"DOI":"10.13039\/100000181","name":"Air Force Office of Scientific Research","doi-asserted-by":"publisher","award":["FA9550-18-1-0067"],"award-info":[{"award-number":["FA9550-18-1-0067"]}],"id":[{"id":"10.13039\/100000181","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["W911NF-19-2-0006"],"award-info":[{"award-number":["W911NF-19-2-0006"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000104","name":"National Aeronautics and Space Administration","doi-asserted-by":"publisher","award":["NNX17AD06G"],"award-info":[{"award-number":["NNX17AD06G"]}],"id":[{"id":"10.13039\/100000104","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1844325","1936997"],"award-info":[{"award-number":["1844325","1936997"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-9-1-2119","N00014-16-1-2892","N00014-18-1-2442","N00014-18-1-2840"],"award-info":[{"award-number":["N00014-9-1-2119","N00014-16-1-2892","N00014-18-1-2442","N00014-18-1-2840"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"name":"JP Morgan AI Faculty Research grant","award":["-"],"award-info":[{"award-number":["-"]}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Human\u2013Computer Interaction"],"published-print":{"date-parts":[[2020,11]]},"DOI":"10.1080\/07370024.2020.1726751","type":"journal-article","created":{"date-parts":[[2020,3,19]],"date-time":"2020-03-19T18:07:51Z","timestamp":1584641271000},"page":"387-412","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":11,"title":["RADAR: automated task planning for proactive decision support"],"prefix":"10.1080","volume":"35","author":[{"given":"Sachin","family":"Grover","sequence":"first","affiliation":[{"name":"Yochan Lab, Arizona State University, Tempe, AZ, USA"}]},{"given":"Sailik","family":"Sengupta","sequence":"additional","affiliation":[{"name":"Yochan Lab, Arizona State University, Tempe, AZ, USA"}]},{"given":"Tathagata","family":"Chakraborti","sequence":"additional","affiliation":[{"name":"IBM Research AI, AI interaction group"}]},{"given":"Aditya Prasad","family":"Mishra","sequence":"additional","affiliation":[{"name":"Yochan Lab, Arizona State University, Tempe, AZ, USA"}]},{"given":"Subbarao","family":"Kambhampati","sequence":"additional","affiliation":[{"name":"Yochan Lab, Arizona State University, Tempe, AZ, USA"}]}],"member":"301","published-online":{"date-parts":[[2020,3,19]]},"reference":[{"key":"e_1_3_4_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2004.1265878"},{"key":"e_1_3_4_3_1","volume-title":"Arpa\/rome labs planning initiative workshop","author":"Allen J. F.","year":"1994","unstructured":"Allen, J. F. (1994). Mixed initiative planning: Position paper. In Proceedings\u00a0of Arpa\/rome labs planning initiative workshop, Tuscon, AZ, USA. Morgan Kaufman, Palo Alto."},{"key":"e_1_3_4_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300233"},{"key":"e_1_3_4_5_1","unstructured":"Bryce D. Benton J. & Boldt M. W. (2016). Maintaining evolving domain models. In Proceedings of the twenty-fifth international joint conference on artificial intelligence (pp. 3053\u20133059). Palo Alto CA: AAAI Press\/International Joint Conferences on Artificial Intelligence."},{"key":"e_1_3_4_6_1","first-page":"86","volume-title":"In Proceedings of the international conference on automated planning and scheduling","volume":"29","author":"Chakraborti T.","year":"2019","unstructured":"Chakraborti, T., Kulkarni, A., Sreedharan, S., Smith, D. E., & Kambhampati, S. (2019). Explicability? legibility? predictability? transparency? privacy? security? the emerging landscape of interpretable agent behavior. In Proceedings of the international conference on automated planning and scheduling (Vol.29, pp. 86\u201396), Berkley, California, USA."},{"key":"e_1_3_4_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/HRI42470.2019"},{"key":"e_1_3_4_8_1","doi-asserted-by":"crossref","unstructured":"Chakraborti T. Sreedharan S. Zhang Y. & Kambhampati S. (2017). Plan explanations as model reconciliation: Moving beyond explanation as soliloquy. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (pp. 156\u2013163).","DOI":"10.24963\/ijcai.2017\/23"},{"key":"e_1_3_4_9_1","volume-title":"UbuntuWorld 1.0 LTS \u2013 A platform for automated problem solving & troubleshooting in the Ubuntu OS","author":"Chakraborti T.","year":"2017","unstructured":"Chakraborti, T., Talamadupula, K., Fadnis, K., Campbell, M., & Kambhampati, S. (2017). UbuntuWorld 1.0 LTS \u2013 A platform for automated problem solving & troubleshooting in the Ubuntu OS. In Twenty-ninth IAAI Conference, San Fransisco, CA."},{"key":"e_1_3_4_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/HRI.2013.6483603"},{"key":"e_1_3_4_11_1","doi-asserted-by":"publisher","DOI":"10.1518\/155534307X232839"},{"key":"e_1_3_4_12_1","unstructured":"Fox M. Howey R. & Long D. (2005). Validating plans in the context of processes and exogenous events. In Proceedings of the Twentieth AAAI Conference on Artificial Intelligence Pittsburgh PA (Vol. 5 pp. 1151\u20131156)."},{"key":"e_1_3_4_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1357054.1357252"},{"key":"e_1_3_4_14_1","doi-asserted-by":"crossref","unstructured":"G\u00f6belbecker M. Keller T. Eyerich P. Brenner M. & Nebel B. (2010). Coming up with good excuses: What to do when no plan can be found. In Proceedings of the twentieth international conference on international conference on automated planning and scheduling Toronto Canada (pp.81\u201388).","DOI":"10.1609\/icaps.v20i1.13421"},{"key":"e_1_3_4_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-015-9457-9"},{"key":"e_1_3_4_16_1","article-title":"iPass: A case study of the effectiveness of automated planning for decision support","author":"Grover S.","year":"2019","unstructured":"Grover, S., Sengupta, S., Chakraborti, T., Mishra, A. P., & Kambhampati, S. (2019). iPass: A case study of the effectiveness of automated planning for decision support. Naturalistic Decision Making.","journal-title":"Naturalistic Decision Making"},{"key":"e_1_3_4_17_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v30i4.2271"},{"key":"e_1_3_4_18_1","doi-asserted-by":"publisher","DOI":"10.1002\/aris.144.v45:1"},{"key":"e_1_3_4_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/21.17382"},{"key":"e_1_3_4_20_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1705"},{"key":"e_1_3_4_21_1","unstructured":"Herzig A. Menezes V. de Barros L. N. & Wassermann R. (2014). On the revision of planning tasks. In Proceedings of the Twenty-First European Conference on Artificial Intelligence Prague Checz Republic (pp. 435\u2013440)."},{"key":"e_1_3_4_22_1","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1492"},{"key":"e_1_3_4_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/s1095-0397(99)00016-3"},{"key":"e_1_3_4_24_1","volume-title":"Aaai spring symposium on case based reasoning","author":"Kambhampati S.","year":"1990","unstructured":"Kambhampati, S. (1990). A classification of plan modification strategies based on coverage and information requirements. In Aaai spring symposium on case based reasoning."},{"key":"e_1_3_4_25_1","volume-title":"AAAI tutorial","author":"Kambhampati S.","year":"2015","unstructured":"Kambhampati, S., & Talamadupula, K. (2015). Human-in-the-loop planning and decision support. In AAAI tutorial."},{"key":"e_1_3_4_26_1","doi-asserted-by":"publisher","DOI":"10.4018\/978-1-60960-165-2.ch007"},{"key":"e_1_3_4_27_1","doi-asserted-by":"crossref","unstructured":"Kim J. Banks C. J. & Shah J. A. (2017). Collaborative planning with encoding of users\u2019 high-level strategies. In Proceedings of the Thirty-first AAAI Conference on Artificial Intelligence (pp.955\u2013961).","DOI":"10.1609\/aaai.v31i1.10627"},{"key":"e_1_3_4_28_1","doi-asserted-by":"publisher","DOI":"10.1518\/001872008X288385"},{"key":"e_1_3_4_29_1","unstructured":"Kulkarni A. Chakraborti T. Zha Y. Vadlamudi S. G. Zhang Y. & Kambhampati S. (2016). Explicable robot planning as minimizing distance from expected behavior. CoRR abs\/1611.05497 . Retrieved from. http:\/\/arxiv.org\/abs\/1611.05497"},{"key":"e_1_3_4_30_1","doi-asserted-by":"crossref","unstructured":"Langley P. (1999). User modeling in adaptive interface. In Proceedings of the seventh international conference on user modeling (pp. 357\u2013370) Banff Canada. Springer.","DOI":"10.1007\/978-3-7091-2490-1_48"},{"key":"e_1_3_4_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-22527-2_13"},{"key":"e_1_3_4_32_1","volume-title":"Applying collaborative discourse theory to human-computer interaction","author":"Lesh A. G. N.","year":"2004","unstructured":"Lesh, A. G. N. (2004). Applying collaborative discourse theory to human-computer interaction."},{"issue":"3","key":"e_1_3_4_33_1","first-page":"84","article-title":"Intelligent software","volume":"273","author":"Maes P.","year":"1995","unstructured":"Maes, P. (1995). Intelligent software. Scientific American, 273(3), 84\u201386.","journal-title":"Scientific American"},{"key":"e_1_3_4_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/1120212.1120281"},{"key":"e_1_3_4_35_1","doi-asserted-by":"publisher","DOI":"10.15346\/hc.v4i1"},{"key":"e_1_3_4_36_1","volume-title":"Pddl-the planning domain definition language","author":"McDermott D.","year":"1998","unstructured":"McDermott, D., Ghallab, M., Howe, A., Knoblock, C., Ram, A., Veloso, M., \u2026 Wilkins, D. (1998). Pddl-the planning domain definition language."},{"key":"e_1_3_4_37_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0140525X10000968"},{"key":"e_1_3_4_38_1","article-title":"Cap: A decision support system for crew scheduling using automated planning","author":"Mishra A. P.","year":"2019","unstructured":"Mishra, A. P., Sengupta, S., Sreedharan, S., Chakraborti, T., & Kambhampati, S. (2019). Cap: A decision support system for crew scheduling using automated planning. Naturalistic Decision Making.","journal-title":"Naturalistic Decision Making"},{"key":"e_1_3_4_39_1","article-title":"The quest for anticipatory decision support systems","author":"Morrison J. G.","year":"2013","unstructured":"Morrison, J. G., Feigh, K. M., Smallman, H. S., Burns, C. M., & Moore, K. E. (2013). The quest for anticipatory decision support systems. Human Factors and Ergonomics Society Annual Meeting.","journal-title":"Human Factors and Ergonomics Society Annual Meeting"},{"key":"e_1_3_4_40_1","doi-asserted-by":"crossref","unstructured":"Narayanan V. Zhang Y. Mendoza N. & Kambhampati S. (2015). Automated planning for peer-to-peer teaming and its evaluation in remote human-robot interaction. In Proceedings of the tenth annual ACM\/IEEE international conference on human-robot interaction extended abstracts Portland US (pp. 161\u2013162).","DOI":"10.1145\/2701973.2702042"},{"key":"e_1_3_4_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2012.05.005"},{"key":"e_1_3_4_42_1","doi-asserted-by":"publisher","DOI":"10.1080\/001401300409125"},{"key":"e_1_3_4_43_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720810376055"},{"key":"e_1_3_4_44_1","doi-asserted-by":"publisher","DOI":"10.1518\/001872097778543886"},{"key":"e_1_3_4_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/3468.844354"},{"key":"e_1_3_4_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2016.7745133"},{"key":"e_1_3_4_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173677"},{"key":"e_1_3_4_48_1","unstructured":"Ram\u00edrez M. & Geffner H. (2009). Plan recognition as planning. In Proceedings of the 21st International Joint Conference on Artifical Intelligence Pasadena California (pp. 1778\u20131783)."},{"key":"e_1_3_4_49_1","doi-asserted-by":"crossref","unstructured":"Ram\u00edrez M. & Geffner H. (2010). Probabilistic plan recognition using off-the-shelf classical planners. In Aaai conference on artifical intelligence (pp. 1121\u20131126).","DOI":"10.1609\/aaai.v24i1.7745"},{"key":"e_1_3_4_50_1","unstructured":"Riabov A. Sohrabi S. & Udrea O. (2014). New algorithms for the top-k planning problem. In Proceedings of the scheduling and planning applications workshop (spark) at the 24th international conference on automated planning and scheduling (icaps) Portsmouth New Hampshire (pp.10\u201316)."},{"key":"e_1_3_4_51_1","unstructured":"Sengupta S. Chakraborti T. & Kambhampati S. (2018). Ma-radar-a mixed-reality interface for collaborative decision making. In Proceedings of user interfaces and scheduling and planning (uisp) workshop at 28th international conference on automated planning and scheduling (icaps) Delft Netherlands (pp. 40\u201345)."},{"key":"e_1_3_4_52_1","unstructured":"Sengupta S. Chakraborti T. Sreedharan S. Vadlamudi S. G. & Kambhampati S. (2017). RADAR - A proactive decision support system for human-in-the-loop planning. In Proceedings of user interfaces and scheduling and planning (uisp) workshop at 27th international conference on automated planning and scheduling (icaps) Pittsburgh USA"},{"key":"e_1_3_4_53_1","doi-asserted-by":"publisher","DOI":"10.1518\/155723405783703082"},{"key":"e_1_3_4_55_1","doi-asserted-by":"publisher","DOI":"10.1145\/267505.267514"},{"key":"e_1_3_4_56_1","doi-asserted-by":"crossref","unstructured":"Smith D. E. (2012). Planning as an iterative process. In Proceedings of the Twenty-Sixth aaai Conference on Artificial Intelligence Toronto Ontario Canada (pp. 2180\u20132185).","DOI":"10.1609\/aaai.v26i1.8449"},{"key":"e_1_3_4_57_1","doi-asserted-by":"crossref","unstructured":"Sohrabi S. Baier J. A. & McIlraith S. A. 2011. Preferred explanations: Theory and generation via planning. In Proceedings of the Twenty-fifth aaai Conference on Artificial Intelligence San Fransisco California USA (pp. 261\u2013267). AAAI Press.https:\/\/ipc2018-probabilistic.bitbucket.io\/#domains","DOI":"10.1609\/aaai.v25i1.7845"},{"key":"e_1_3_4_58_1","unstructured":"Track I. P. C. I. P. (2018). Academic advising domain. Retrieved from https:\/\/ipc2018-probabilistic.bitbucket.io\/#domains"},{"key":"e_1_3_4_59_1","doi-asserted-by":"publisher","DOI":"10.1518\/001872008X312152"},{"key":"e_1_3_4_60_1","doi-asserted-by":"publisher","DOI":"10.1177\/154193121005400425"},{"key":"e_1_3_4_61_1","unstructured":"Zhang Y. Narayanan V. Chakraborti T. & Kambhampati S. (2015). A human factors analysis of proactive support in human-robot teaming. In 2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS) Hamburg Germany (pp. 3586\u20133593)."},{"key":"e_1_3_4_62_1","doi-asserted-by":"crossref","unstructured":"Zhang Y. Sreedharan S. Kulkarni A. Chakraborti T. & Hankz Hankui Zhuo S. K. (2017). Plan explicability and predictability for robot task planning. In 2017 IEEE international conference on robotics and automation (icra) Marina Bay Sands Singapore (pp. 1313\u20131320).","DOI":"10.1109\/ICRA.2017.7989155"},{"key":"e_1_3_4_63_1","unstructured":"Zhang Y. Sreedharan S. Kulkarni A. Chakraborti T. Zhuo H. H. & Kambhampati S. (2016). Plan explicability for robot task planning. In Rss workshop on planning for hri: Shared autonomy and collaborative robotics."},{"key":"e_1_3_4_64_1","unstructured":"Zhu L. & Givan R. (2003). Landmark extraction via planning graph propagation. ICAPS Doctoral Consortium 156\u2013160."},{"key":"e_1_3_4_65_1","unstructured":"Zhuo H. H. Nguyen T. & Kambhampati S. (2013). Refining incomplete planning domain models through plan traces. In Proceedings of the Twenty-third International Joint Conference on Artificial Intelligence Beijing China (pp. 2451\u20132457)."}],"container-title":["Human\u2013Computer Interaction"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/07370024.2020.1726751","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,2]],"date-time":"2023-11-02T09:34:39Z","timestamp":1698917679000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/07370024.2020.1726751"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,19]]},"references-count":63,"journal-issue":{"issue":"5-6","published-print":{"date-parts":[[2020,11]]}},"alternative-id":["10.1080\/07370024.2020.1726751"],"URL":"https:\/\/doi.org\/10.1080\/07370024.2020.1726751","relation":{},"ISSN":["0737-0024","1532-7051"],"issn-type":[{"type":"print","value":"0737-0024"},{"type":"electronic","value":"1532-7051"}],"subject":[],"published":{"date-parts":[[2020,3,19]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=hhci20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=hhci20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2019-06-21","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-02-04","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-03-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}