{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,19]],"date-time":"2026-04-19T00:52:17Z","timestamp":1776559937288,"version":"3.51.2"},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2016,12,30]],"date-time":"2016-12-30T00:00:00Z","timestamp":1483056000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/3.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Humans can express their own emotion and estimate\nthe emotional states of others during communication.\nThis paper proposes a unified model that can estimate\nthe emotional states of others and generate emotional\nself-expressions. The proposed model utilizes a\nmultimodal restricted Boltzmann machine (RBM) \u2014a type\nof stochastic neural network. RBMs can abstract latent information\nfrom input signals and reconstruct the signals\nfrom it. We use these two characteristics to rectify issues\naffecting previously proposed emotion models: constructing\nan emotional representation for estimation and generation\nfor emotion instead of heuristic features, and actualizing\nmental simulation to infer the emotion of others from\ntheir ambiguous signals. Our experimental results showed\nthat the proposed model can extract features representing\nthe distribution of categories of emotion via self-organized\nlearning. Imitation experiments demonstrated that using\nour model, a robot can generate expressions better than\nwith a direct mapping mechanism when the expressions\nof others contain emotional inconsistencies.Moreover, our\nmodel can improve the estimated belief in the emotional\nstates of others through the generation of imaginary sensory\nsignals from defective multimodal signals (i.e., mental\nsimulation). These results suggest that these abilities of\nthe proposed model can facilitate emotional human\u2013robot\ncommunication in more complex situations.<\/jats:p>","DOI":"10.1515\/pjbr-2016-0004","type":"journal-article","created":{"date-parts":[[2017,1,3]],"date-time":"2017-01-03T05:00:56Z","timestamp":1483419656000},"source":"Crossref","is-referenced-by-count":14,"title":["Imitation of human expressions based on emotion\nestimation by mental simulation"],"prefix":"10.1515","volume":"7","author":[{"given":"Takato","family":"Horii","sequence":"first","affiliation":[{"name":"Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Osaka, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yukie","family":"Nagai","sequence":"additional","affiliation":[{"name":"Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Osaka, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Minoru","family":"Asada","sequence":"additional","affiliation":[{"name":"Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Osaka, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2016,12,30]]},"container-title":["Paladyn, Journal of Behavioral Robotics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/pjbr.2016.7.issue-1\/pjbr-2016-0004\/pjbr-2016-0004.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/pjbr-2016-0004\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/pjbr-2016-0004\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,1]],"date-time":"2025-09-01T16:11:32Z","timestamp":1756743092000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyterbrill.com\/document\/doi\/10.1515\/pjbr-2016-0004\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12,30]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2016,12,30]]}},"alternative-id":["10.1515\/pjbr-2016-0004"],"URL":"https:\/\/doi.org\/10.1515\/pjbr-2016-0004","relation":{},"ISSN":["2081-4836"],"issn-type":[{"value":"2081-4836","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,12,30]]},"article-number":"000010151520160004"}}