{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T13:02:00Z","timestamp":1777381320097,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Ambient Intelligence and Smart Environments"],"published-print":{"date-parts":[[2014,9]]},"abstract":"<jats:p>Speech interfaces within Intelligent Environments (IEs) must be rendered adaptive to external and internal factors, among those the complexity of the dialogue. Hence, we present HIS-OwlSpeak, a model-driven dialogue manager for Intelligent Environments. It meets the challenges arising from engineering IEs by providing a unified platform comprising adaptivity to a variety of internal and external factors. This work addresses internal adaptivity realized by different modes of dialogue control, i.e., rule-based and probabilistic. For this, the Hidden Information State (HIS) approach \u2013 featuring inherent handling of uncertainty in dialogue systems \u2013 is applied to a model-driven, solely rule-based dialogue manager. It uses ontologies to specify the dialogue thus separating the specification from the dialogue control. Consequently, all necessary aspects for merging the world of model-driven dialogue management with the HIS approach are presented in detail. Furthermore, the system has been evaluated using two concurrent dialogues of different complexity successfully validating the implementation.<\/jats:p>","DOI":"10.3233\/ais-140275","type":"journal-article","created":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T18:15:04Z","timestamp":1575051304000},"page":"523-539","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["Managing adaptive spoken dialogue for Intelligent Environments"],"prefix":"10.1177","volume":"6","author":[{"given":"Stefan","family":"Ultes","sequence":"first","affiliation":[{"name":"Dialogue Systems Group, Institute of Communications Engineering, Ulm University, 89081 Ulm, Germany. E-mail: {stefan.ultes,wolfgang.minker}@uni-ulm.de"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wolfgang","family":"Minker","sequence":"additional","affiliation":[{"name":"Dialogue Systems Group, Institute of Communications Engineering, Ulm University, 89081 Ulm, Germany. E-mail: {stefan.ultes,wolfgang.minker}@uni-ulm.de"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2014,1]]},"container-title":["Journal of Ambient Intelligence and Smart Environments"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/AIS-140275","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/AIS-140275","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T09:20:27Z","timestamp":1777368027000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/AIS-140275"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1]]},"references-count":0,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2014,9]]}},"alternative-id":["10.3233\/AIS-140275"],"URL":"https:\/\/doi.org\/10.3233\/ais-140275","relation":{},"ISSN":["1876-1364","1876-1372"],"issn-type":[{"value":"1876-1364","type":"print"},{"value":"1876-1372","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,1]]}}}