Auflistung nach Autor:in "Westhoven, Martin"
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- ZeitschriftenartikelCommunicating Robotic Help Requests: Effects of Eye-Expressions, LED-Lights and Polite Language(i-com: Vol. 19, No. 2, 2020) Westhoven, Martin; Grinten, Tim van derIn this paper we report results from a web- and video-based study on the perception of a request for help from a robot head. Colored lights, eye-expressions and politeness of the used language were varied. We measured effects on expression identification, hedonic user experience, perceived politeness, and help intention. Additionally, sociodemographic data, a ‘face blindness’ questionnaire, and negative attitudes towards robots were collected to control for possible influences on the dependent variables. A total of n = 139 participants were included in the analysis. In this paper, the focus is placed on interaction effects and on the influence of covariates. Significant effects were found for the interaction of LED lighting and eye-expressions and for language and eye-expressions on help intention. The expression identification is significantly influenced by the interaction of LED lighting and eye-expressions. Several significant effects of the covariates were found, both direct and from interaction with independent variables. Especially the negative attitudes towards robots significantly influence help intention and perceived politeness. The results provide information on the effect of different design choices for help requesting robots.
- KonferenzbeitragHaltungserfassung zur Steuerung mobiler Nutzungsschnittstellen(Mensch & Computer 2014 - Tagungsband, 2014) Henrich, Timo; Plegge, Christian; Westhoven, Martin; Alexander, ThomasDie Kenntnis und Berücksichtigung des Fokus der visuellen Aufmerksamkeit ermöglicht die Adaption von Nutzungsschnittstellen. Während dieser in stationären Systemen z. B. durch Blickbewegungsmessungen relativ präzise bestimmt werden kann, ist dies auf Mobilgeräten bedingt durch die Dynamik der Körperbewegungen des Nutzers nicht immer möglich. Es wird ein Verfahren zur Abschätzung des Fokus der visuellen Aufmerksamkeit aus Informationen zur Körperhaltung in einem Verbundsystem aus Smartglasses und Smartwatch vorgestellt. Das Verfahren zielt auf eine schnelle und robuste Erkennung im Gehen und im Stehen ab, ohne die Verwendung zusätzlicher Hardware. Das Ziel einer ergonomischen, praktikablen Lösung wird durch Kombination von Lageinformationen der genutzten Geräte mit bekannten, anatomischen Bewegungslimitationen des Menschen erreicht. In Abhängigkeit zur gewählten Parametrisierung beträgt die durchschnittliche Erkennungsrate des Verfahrens rund 98%.
- KonferenzbeitragPerceptions of a Help-Requesting Robot - Effects of Eye-Expressions, Colored Lights and Politeness of Speech(Mensch und Computer 2019 - Tagungsband, 2019) Westhoven, Martin; van der Grinten, Tim; Mueller, SteffenIn this paper we report results from a web- and video-based study on the perception of a request for help from a robot head. Colored lights, eye-expressions and politeness of speech were varied. We measured effects on expression identification, hedonic user experience, perceived politeness, and help intention. Additionally, sociodemographic data, a 'face blindness' questionnaire, and negative attitudes towards robots were collected to control for possible influences on the dependent variables. A total of n=139 participants were included in the analysis. Significant differences were found for the identification performance for our intended eye-expressions, for perceived politeness, help intentions and hedonic user experience. Especially for the negative attitudes towards robots, we found significant relationships with perceived politeness and help intentions.
- KonferenzbeitragRequirements for AI Support in Occupational Safety Risk Analysis(Mensch und Computer 2022 - Tagungsband, 2022) Westhoven, MartinRisk analysis in occupational safety settings is becoming more complex with the ever faster influx of innovative technologies. Even for less complex work places, smaller enterprises already struggle to keep up due to a lack of specialist personnel and missing systematic safety processes. One approach to support occupational safety risk analysis is to use artificial intelligence techniques to support the process. To investigate the requirements of designing such a system, in this paper we report results from six expert interviews with occupational safety experts from a German government agency and highlight which sub-tasks can be supported by AI and what the most significant issues for an appropriate UI design are.