Auflistung nach Autor:in "Wienrich, Carolin"
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- Workshopbeitrag1st Workshop on “User Experience for Sustainability in the Age of Automated Driving and Electromobility”(Mensch und Computer 2021 - Workshopband, 2021) Holzhammer, Uwe; Lenz, Maximilian Josef; Riener, Andreas; Schweizer, Manuel; Tutunaru, RobinAutomation and electromobility are disruptive technologies within the automotive industry at the beginning of the second decade of the 21st century. Both technologies combined are inherent in high potential to lower fuel/energy consumption and increase overall efficiency and thus sustainability in the transportation sector. However, the acceptance of fuel-saving driving modes and of electrified drivetrains is of fundamental importance. Therefor Automotive HMIs offer the possibility to inform the passengers about the environmental impact of their driving behavior or habits of use and enable to persuade towards a more sustainable lifestyle. This workshop is designed for UX researchers, students and interested citizens that want to participate in a discourse and design process for future automotive UIs. Using brainstorming methods combined with clustering of the ideas we will find out which information provided at which time is adequate to cause a change of behaviour which then diminishes the environmental impact of driving.
- Workshopbeitrag3rdWorkshop on User-Embodied Interaction in Virtual Reality (UIVR)(Mensch und Computer 2021 - Workshopband, 2021) Roth, Daniel; Podkosova, Iana; Nilsson, Niels Christian; Kulik, Alexander; Bruder, GerdThe representation of users to others and themselves is especially important for Virtual/Mixed/Augmented Reality (VR/MR/AR) applications. The development of technological solutions and the understanding of underlying cognitive effects challenges humancomputer interaction (HCI) and related disciplines. A number of interesting research questions, such as realism of appearance and behavior as well as their effects on perception and user behavior arise, that are yet to be explored. To support a discussion and the generation of a common agenda, we will organize the 3rd half-day workshop on User-Embodied Interaction in VR (UIVR) gathering researchers and practitioners emphasizing the discussion of different positions on applications and findings to collect guidelines for future developments.
- Workshopbeitrag7. Usable Security und Privacy Workshop(Mensch und Computer 2021 - Workshopband, 2021) Lo Iacono, Luigi; Schmitt, Harmut; Polst, Svenja; Heinemann, AndreasAuch die mittlerweile siebte Ausgabe des wissenschaftlichen Workshops “Usable Security und Privacy” auf der Mensch und Computer 2021 wird aktuelle Forschungs- und Praxisbeiträge präsentiert und anschließend mit allen Teilnehmer:innen diskutiert. Zwei Beiträge befassen sich dieses Jahr mit dem Thema Privatsphäre, zwei mit dem Thema Sicherheit. Mit dem Workshop wird ein etabliertes Forum fortgeführt und weiterentwickelt, in dem sich Expert:innen aus unterschiedlichen Domänen, z. B. dem Usability- und Security- Engineering, transdisziplinär austauschen können.
- Workshopbeitrag8. Workshop Mensch-Maschine-Interaktion in sicherheitskritischen Systemen: Ausnahmezustand(Mensch und Computer 2021 - Workshopband, 2021) Mentler, Tilo; Reuter, Christian; Nestler, Simon; Kaufhold, Marc-André; Herczeg, Michael; Pottebaum, JensIm Zentrum dieses Workshops steht die Interaktion von Mensch und Technik in sicherheitskritischen Kontexten. Hierzu zählen Anwendungsfelder, die bereits seit vielen Jahren Gegenstand der Forschung und Entwicklung sind. Beispiele sind Katastrophen-schutz oder Medizin, aber auch kritische Infrastrukturen. In die-sen und vielen weiteren Bereichen gilt, dass sichere Systemzu-stände nur durch die ganzheitliche Betrachtung von Mensch, Technik und Organisation gewährleistet bzw. schnellstmöglich wieder erreicht werden können. In diesem Zusammenhang ist der Workshop auch der Nutzbarkeit und Akzeptanz von Sicher-heitskonzepten sowie einer bewussteren Auseinandersetzung der Nutzenden mit diesem Thema gewidmet. Dieser Beitrag stellt die Themenkomplexe des Workshops, die angenommenen Bei-träge und das Organisationsteam vor.
- Workshopbeitrag9thWorkshop Automotive HMIs: Natural and Adaptive UIs to Support Future Vehicles(Mensch und Computer 2021 - Workshopband, 2021) Riener, Andreas; Pfleging, Bastian; Detjen, Henrik; Braun, Michael; Peintner, JakobModern vehicles allow control by the driver with multimodal user interfaces (UIs), touch interaction on screens, speech input, and mid-air gestures. Such UIs are driver-focused and optimized for limited distraction to not compromise road safety in manual driving. Nevertheless, they are often complex and it might be difficult to find specific features. Automated driving in L3+ will disrupt the design of automotive UIs as drivers become passengers, at least for certain parts along the way. Similarly, the car is being transformed into a social space where passengers can be granted control over systems because they can devote their full attention without imposing safety risks. The complexity of advanced driver assistance, in-vehicle information and interaction systems requires explanation to the user, e.g., in which state the system is, interaction possibilities, expectations from the driver or take over timing. We expect novel technologies to allow for natural interaction and adaptivity to design valuable and future-proof interaction concepts for the changing interior of (automated) vehicles. The goal of this workshop is, thus, to discuss how natural and adaptive user interfaces can help to solve the mentioned challenges and to identify opportunities for future research and collaboration.
- KonferenzbeitragAdopting Just Another Digital Assistant or Establishing Social Interactions with a New Friend?(Mensch und Computer 2022 - Tagungsband, 2022) Carolus, Astrid; Wienrich, CarolinSocial interactions have been exclusive to human-human interactions, until recently. However, modern technologies with adaptive and intelligent features such as smart speakers imitate human social characteristics and appear to be allegedly social interaction partners. Research going beyond the analysis of mere usage and conceptualizing devices as interaction partners is rare, also because studying the establishment of social interactions would require analyses over time. The present paper addresses this research desideratum and introduces a concept of a longitudinal study which involves the collection of different data types from different sources (online questionnaire, providers’ log files, interview) and interdisciplinary data analytical methods (social science, data science). Its cross-sectional and longitudinal research questions ask for the adoption and the usage of the usage of smart speakers, for the establishment of social interactions with the device. In sum, this study contributes to the research area by presenting a conceptual research model, which provides a framework for the systematic long-term analysis of both the adoption of technology over time as well as the establishment of potential social interactions.
- WorkshopbeitragAkzeptanz von Fahrerassistenzsystemen - Eine qualitative Analyse und Konzeptualisierung von Probanden-Empfindungen(Mensch und Computer 2021 - Workshopband, 2021) Driesen-Micklitz, Tim; Merker, Adrian; Stocker, Alexander; Fellmann, Michael; Röcker, CarstenAls Nutzer eines Fahrzeuges Teile der Fahraufgabe oder sogar die vollständige Kontrolle über ein Fahrzeug an Fahrerassistenzsysteme zu delegieren, ist technisch ein Meilenstein in der Automobilentwicklung. Gleichwohl ist es für Nutzer ungewohnt und erfordert ein hohes Maß an Vertrauen und Akzeptanz. Daher ist es von hohem Interesse für Wissenschaft und Praxis, wie Nutzer von Fahrerassistenzsysteme deren Funktionalitäten und Verhaltensweisen wahrnehmen. Nichtsdestotrotz existieren bisher vergleichbar wenig umfassende Studien, wie Nutzer solche Systeme unter Realbedingungen im öffentlichen Straßenverkehr wahrnehmen. Der vorliegende Beitrag analysiert die positiven und negativen Empfindungen von Probanden hinsichtlich Fahrerassistenzsystemen anhand eines umfassenden Forschungsdatensatzes realer Autofahrten mit 100 an einer Feldstudie teilnehmenden Personen. Die untersuchten Fahrerassistenzsysteme werden nach den Funktionalitäten Automatic Cruise Control und Lenkassistent differenziert. Werden beide Systeme gleichzeitig aktiviert, so vermitteln sie das Gefühl eines Automatisierten Fahrens. Positive durch die Probanden wahrgenommene Empfindungen waren u.a. Komfortgewinn, insb. gegenüber der adaptiven Abstandshaltung. Als negativ wurden die Aspekte Kontrollverlust, Beschleunigungsverhalten, Fahrer-Fahrzeug Interaktion, fehlende Zuverlässigkeit und hohe notwendige Konzentration empfunden. Beiträge zur Theorie bestehen einerseits in dem entwickelnden Kategorienschema für positive bzw. negative Systemempfindungen sowie aus den konkreten Ergebnissen, d.h. den erhobenen positiven bzw. negativen Empfindungen. Andererseits sind diese Erkenntnisse auch für Praktiker wertvoll, da sie in Produktentwicklungsprozesse einfließen können.
- KonferenzbeitragAnalyzing Eye Tracking Data in Mirror Exposure(Mensch und Computer 2022 - Tagungsband, 2022) Döllinger, Nina; Göttfert, Christopher; Wolf, Erik; Mal, David; Latoschik, Marc Erich; Wienrich, CarolinMirror exposure is an important method in the treatment of body image disturbances. Eye tracking can support the unaffected assessment of attention biases during mirror exposure. However, the analysis of eye tracking data in mirror exposure comes with various difficulties and is associated with a high manual workload during data processing. We present an automated data processing framework that enables us to determine any body part as an area of interest without placing markers on the bodies of participants. A short, formative user study proved the quality compared to the gold standard. The automatic processing and openness for different systems allow a broad range of applications.
- ZeitschriftenartikelappRaiseVR – An Evaluation Framework for Immersive Experiences(i-com: Vol. 19, No. 2, 2020) Wienrich, Carolin; Gramlich, JohannaVR is evolving into everyday technology. For all diverse application areas, it is essential to understand the user’s condition to ensure a safe, pleasant, and meaningful VR experience. However, VR experience evaluation is still in its infancy. The present paper takes up this research desideratum by conflating diverse expertise and learnings about experience evaluation in general and VR experiences in particular into a systematic evaluation framework (appRaiseVR).
Method. To capture diverse expertise, we conducted two focus groups (bottom-up approach) with experts working in different fields of experience evaluation (e. g., Movie Experience, Theatre Experiences). First, we clustered the results of both focus groups. Then, we conflated those results and the learnings about experience evaluation stemming from the field of user experience into the final framework (top-down approach).
Results. The framework includes five steps providing high-level guidance through the VR evaluation process. The first three steps support the definition of the experience and evaluation conditions (setting, level, plausibility). The last two steps guide the selection to find an appropriate time course and tools of measure.
Conclusion. appRaiseVR offers high-level guidance for evaluators with different expertise and contexts. Finally, establishing similar evaluation procedures might contribute to safe, pleasant, and meaningful VR experiences.
- WorkshopbeitragAudit, Don’t Explain – Recommendations Based on a Socio-Technical Understanding of ML-Based Systems(Mensch und Computer 2021 - Workshopband, 2021) Heuer, HendrikIn this position paper, I provide a socio-technical perspective on machine learning-based systems. I also explain why systematic audits may be preferable to explainable AI systems. I make concrete recommendations for how institutions governed by public law akin to the German TÜV and Stiftung Wartentest can ensure that ML systems operate in the interest of the public.