{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T05:39:03Z","timestamp":1649050743983},"reference-count":0,"publisher":"Walter de Gruyter GmbH","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,10,28]]},"abstract":"<jats:title>Zusammenfassung<\/jats:title>\n               <jats:p>Mensch-Maschine Schnittstellen in medizinischen Assistenzsystemen erfordern oftmals eine Anpassung ihrer Parameter an den\nNutzer. Allerdings existiert kein einheitliches Vorgehen hinsichtlich der Art, Weise und H\u00e4ufigkeit der\nAnpassungen. Einfache Systeme werden h\u00e4ndisch kalibriert, komplizierte multimodale Steuerungen passen sich mitunter im\nlaufenden Betrieb an ihre Tr\u00e4ger an. \u00dcber die Auswirkungen ver\u00e4nderter Parameter auf das menschliche Bedienverhalten ist\nnur wenig bekannt. Deshalb wurde eine Studie durchgef\u00fchrt, die drei Arten der Parameteranpassung vergleicht und die\nPerformanz von 20 Probanden spielerisch erfasst und bewertet. Es zeigt sich, dass eine Anpassung notwendig f\u00fcr die\nintuitive Bedienbarkeit ist, dass das menschliche Lernverhalten aber gro\u00dfen Einfluss auf die Performanz hat und zu h\u00e4ufige\nParameteranpassungen nicht f\u00f6rderlich sind.<\/jats:p>","DOI":"10.1515\/auto-2016-0051","type":"journal-article","created":{"date-parts":[[2016,10,7]],"date-time":"2016-10-07T07:22:20Z","timestamp":1475824940000},"page":"816-826","source":"Crossref","is-referenced-by-count":0,"title":["Einfluss von Trainingseffekten auf die Parameteradaption f\u00fcr Mensch-Maschine-Schnittstellen in der Medizintechnik"],"prefix":"10.1515","volume":"64","author":[{"given":"Markus","family":"Reischl","sequence":"first","affiliation":[{"name":"Institut f\u00fcr Angewandte Informatik, Karlsruher Institut f\u00fcr Technologie, Karlsruhe Germany"},{"name":"HeiKa \u2013 Heidelberg Karlsruhe Research Partnership, Universit\u00e4t Heidelberg, Karlsruher Institut f\u00fcr Technologie Germany"}]},{"given":"Michele Rene","family":"Tuga","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Angewandte Informatik, Karlsruher Institut f\u00fcr Technologie, Karlsruhe Germany"}]},{"given":"Lena","family":"Meister","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Angewandte Informatik, Karlsruher Institut f\u00fcr Technologie, Karlsruhe Germany"},{"name":"Fachhochschule M\u00fcnster, M\u00fcnster Germany"}]},{"given":"Eduard","family":"Alberg","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Angewandte Informatik, Karlsruher Institut f\u00fcr Technologie, Karlsruhe Germany"},{"name":"Hochschule Heilbronn, Heilbronn Germany"}]},{"given":"Wolfgang","family":"Doneit","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Angewandte Informatik, Karlsruher Institut f\u00fcr Technologie, Karlsruhe Germany"}]},{"given":"David","family":"Liebetanz","sequence":"additional","affiliation":[{"name":"Klinik f\u00fcr klinische Neurophysiologie, Universit\u00e4tsmedizin G\u00f6ttingen, G\u00f6ttingen Germany"}]},{"given":"R\u00fcdiger","family":"Rupp","sequence":"additional","affiliation":[{"name":"Klinik f\u00fcr Paraplegiologie, Universit\u00e4tsklinikum Heidelberg, Heidelberg Germany"}]},{"given":"Ralf","family":"Mikut","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Angewandte Informatik, Karlsruher Institut f\u00fcr Technologie, Karlsruhe Germany"}]}],"member":"374","published-online":{"date-parts":[[2016,10,7]]},"container-title":["at - Automatisierungstechnik"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.degruyter.com\/view\/j\/auto.2016.64.issue-10\/auto-2016-0051\/auto-2016-0051.xml","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2016-0051\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2016-0051\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T18:30:16Z","timestamp":1624300216000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.degruyter.com\/document\/doi\/10.1515\/auto-2016-0051\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,7]]},"references-count":0,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2016,10,7]]},"published-print":{"date-parts":[[2016,10,28]]}},"alternative-id":["10.1515\/auto-2016-0051"],"URL":"https:\/\/doi.org\/10.1515\/auto-2016-0051","relation":{},"ISSN":["0178-2312","2196-677X"],"issn-type":[{"value":"0178-2312","type":"print"},{"value":"2196-677X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10,7]]}}}