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    <publishedYear>2006</publishedYear>
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    <language>deu</language>
    <pageFirst>130</pageFirst>
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    <publisherName>Pabst Science Publisher</publisherName>
    <publisherPlace>Lengerich</publisherPlace>
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    <title language="deu">Informationssuche im WWW</title>
    <parentTitle language="deu">UDayIV - Information nutzbar machen. Proceedings Usability Day IV, Vorarlberg (Österreich)</parentTitle>
    <subTitle language="deu">Entscheidungsstrategien bei der Nutzung von Suchmaschinen</subTitle>
    <author>Dagmar Unz</author>
    <author>B. Werner</author>
    <author>R. Mangold</author>
    <author>M. Burmester</author>
    <collection role="institutes" number="fas">Fakultät Angewandte Sozialwissenschaften</collection>
    <collection role="Autoren" number="unz">Dagmar Unz</collection>
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  <doc>
    <id>6190</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
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    <language>eng</language>
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    <publisherName>ACM</publisherName>
    <publisherPlace>New York, NY, USA</publisherPlace>
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    <title language="eng">My Humorous Robot: Effects of a Robot Telling Jokes on Perceived Intelligence and Liking</title>
    <abstract language="eng">Research suggests, interpersonal competences such as having a sense of humor can help establish sociality in human-robot interaction. This study tested the effect of different types of jokes told by either a human or a robot (NAO) on the perceived intelligence and liking of the narrator. Results of a mixed-design ANOVA showed that only clever jokes could increase the attribution of intelligence to a robot. No significant differences were found for different types of jokes on liking the robot.</abstract>
    <parentTitle language="eng">Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction</parentTitle>
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    <author>Isabelle M. Menne</author>
    <author>Benjamin P. Lange</author>
    <author>Dagmar C. Unz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>human-robot interaction</value>
    </subject>
    <collection role="institutes" number="ifas">Institut für Angewandte Sozialwissenschaften (IFAS)</collection>
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  <doc>
    <id>6188</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <title language="eng">A Mixed Reality Approach for Enhanced Understanding and Empathy: Simulating Auditory and Visual Phenomena in Schizophrenia</title>
    <abstract language="eng">Simulation-based learning using virtual reality (VR) or augmented reality (AR) provides an immersive experience for teaching practical skills. While widely used in healthcare and workforce training, AR/VR simulation in mental health is still emerging. Research suggests that these simulations can offer a unique perspective on mental illness and reduce stigma. However, the results are mixed, and further research is needed to understand the underlying mechanisms. Factors such as empathy, knowledge, and visual design play a crucial role in successful interventions. Augmented reality allows for a more realistic and integrated experience. This article presents the development of a simulation aimed at reducing the stigma associated with mental illness, focusing on symptoms of schizophrenia spectrum disorders. A literature review, existing simulations, and the experiences of affected individuals were used to inform the content of the simulation. Expert validation was carried out to ensure its accuracy and effectiveness.</abstract>
    <parentTitle language="eng">InfraHealth 2023: Proceedings of the 9th International Conference on Infrastructures for Healthcare</parentTitle>
    <identifier type="url">https://dl.eusset.eu/handle/20.500.12015/5023</identifier>
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    <author>Eva-Maria Weiß</author>
    <author>Emma Schüpfer</author>
    <author>Nicholas H. Müller</author>
    <author>Dagmar C. Unz</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Virtual Reality</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>stigma reduction</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>empathy</value>
    </subject>
    <collection role="institutes" number="ifas">Institut für Angewandte Sozialwissenschaften (IFAS)</collection>
    <thesisPublisher>Technische Hochschule Würzburg-Schweinfurt</thesisPublisher>
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