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Even though there have been attempts to mimic human motions for robot control, understanding the motion patterns emerging during dyadic interaction has been neglected. In this work, we analyze close-proximity human-human interaction and derive an ontology that describes a broad range of possible interaction scenarios by abstracting tasks and using insights from attention theory. This ontology enables us to group interaction behaviors into separate cases, each of which can be represented by a particular graph. Using imitation learning, we train unique interaction policies with recurrent neural networks for each case. The ontology offers a unified and generic approach to categorically analyze and learn close-proximity interaction behaviors that can both be utilized as base models for future studies and enhance natural human-robot collaboration.<\/jats:p>","DOI":"10.1145\/3326539","type":"journal-article","created":{"date-parts":[[2019,7,23]],"date-time":"2019-07-23T12:17:41Z","timestamp":1563884261000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["An Ontology for Human-Human Interactions and Learning Interaction Behavior Policies"],"prefix":"10.1145","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8723-1837","authenticated-orcid":false,"given":"Ozgur S.","family":"Oguz","sequence":"first","affiliation":[{"name":"Technical University of Munich, Munich, Germany"}]},{"given":"Wolfgang","family":"Rampeltshammer","sequence":"additional","affiliation":[{"name":"University of Twente, Enschede, The Netherlands"}]},{"given":"Sebastian","family":"Paillan","sequence":"additional","affiliation":[{"name":"Technical University of Munich, Munich, Germany"}]},{"given":"Dirk","family":"Wollherr","sequence":"additional","affiliation":[{"name":"Technical University of Munich, Munich, Germany"}]}],"member":"320","published-online":{"date-parts":[[2019,7,23]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2559636.2559682"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2013.6697011"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911410459"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/DevLrn.2013.6652537"},{"key":"e_1_2_1_5_1","volume-title":"IEEE Conf. on Comp. 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