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  <doc>
    <id>1202</id>
    <completedYear>2023</completedYear>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>7</pageLast>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>workingpaper</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2023-11-24</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Novel Framework for the Assessment of the Impact of Affective UI Sounds in a Driving Situation Through Virtual Reality and Physiological Signals</title>
    <abstract language="eng">The objective of this study was to develop an experimental framework that allows research on whether the combined use of a virtual reality (VR) driving simulator, electroencephalography signals collected during driving tests and designed attentional paradigms could be applied to assess the performance of affective warning sounds for re-channelling driver’s attention in certain driving situations. Three VR driving scenarios with different stimuli and two driving tasks were designed and implemented. Acquisition of driver’s physiological data and behavioural metrics were integrated to be gathered synchronously. In addition, an experimental protocol was designed for the assessment of the impact of affective warning sounds. The technical feasibility of the framework was evaluated with the results showing that the proposed framework enables the data acquisition and analysis for a variety of warning stimuli. After successful technical deployment, a study with experimental subjects will follow to evaluate the effectiveness of affective warning sounds.</abstract>
    <identifier type="urn">urn:nbn:de:bvb:92-opus4-12021</identifier>
    <identifier type="doi">10.34646/thn/ohmdok-1202</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International</licence>
    <author>Lisa Marie Sparrer</author>
    <author>Sven Winkelmann</author>
    <author>Alexander von Hoffmann</author>
    <author>Daniel Sánchez Morillo</author>
    <subject>
      <language>deu</language>
      <type>uncontrolled</type>
      <value>Driving simulator, attention, mental workload, sound, physiologic sensors, electroencephalogram, virtual reality</value>
    </subject>
    <collection role="institutes" number="">Fakultät für Elektrotechnik Feinwerktechnik Informationstechnik</collection>
    <collection role="Publikationen" number="">Winkelmann, Sven</collection>
    <collection role="Publikationen" number="">von Hoffmann, Alexander</collection>
    <collection role="institutes" number="">Ohm User Experience Center (Ohm-UX)</collection>
    <thesisPublisher>Technische Hochschule Nürnberg Georg Simon Ohm</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-ohm/files/1202/Impact_of_Affective_UI_Sounds.pdf</file>
  </doc>
  <doc>
    <id>2909</id>
    <completedYear>2021</completedYear>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>movingimage</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2021-02-23</completedDate>
    <publishedDate>2021-02-23</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Virtuelle Erprobungsplattform zur Erforschung der KI-Mensch-Schnittstelle im PKW</title>
    <parentTitle language="deu">Virtuelle XR-Konferenz der TH Nürnberg in Kooperation mit LEONARDO und XR HUB Nürnberg</parentTitle>
    <subTitle language="deu">Vortrag bei der virtuellen XR-Konferenz der TH Nürnberg in Kooperation mit LEONARDO und XR HUB Nürnberg</subTitle>
    <identifier type="url">https://youtu.be/0TrBZoiplOg?si=N8D59BN9T_QBeThL&amp;t=1662</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">false</enrichment>
    <licence>Keine Lizenz - Deutsches Urheberrecht gilt</licence>
    <author>Alexander von Hoffmann</author>
    <author>Lisa Marie Sparrer</author>
    <collection role="ddc" number="6">Technik, Medizin, angewandte Wissenschaften</collection>
    <collection role="institutes" number="">Fakultät für Elektrotechnik Feinwerktechnik Informationstechnik</collection>
    <collection role="institutes" number="">LEONARDO - Zentrum für Kreativität und Innovation</collection>
    <collection role="institutes" number="">Ohm User Experience Center (Ohm-UX)</collection>
  </doc>
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