Auflistung nach Schlagwort "User Acceptance"
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- ZeitschriftenartikelEvaluating feedback requirements for trust calibration in automated vehicles(it - Information Technology: Vol. 63, No. 2, 2021) Wintersberger, Philipp; Janotta, Frederica; Peintner, Jakob; Löcken, Andreas; Riener, AndreasThe inappropriate use of automation as a result of trust issues is a major barrier for a broad market penetration of automated vehicles. Studies so far have shown that providing information about the vehicle’s actions and intentions can be used to calibrate trust and promote user acceptance. However, how such feedback could be designed optimally is still an open question. This article presents the results of two user studies. In the first study, we investigated subjective trust and user experience of (N=21) participants driving in a fully automated vehicle, which interacts with other traffic participants in virtual reality. The analysis of questionnaires and semi-structured interviews shows that participants request feedback about the vehicle’s status and intentions and prefer visual feedback over other modalities. Consequently, we conducted a second study to derive concrete requirements for future feedback systems. We showed (N=56) participants various videos of an automated vehicle from the ego perspective and asked them to select elements in the environment they want feedback about so that they would feel safe, trust the vehicle, and understand its actions. The results confirm a correlation between subjective user trust and feedback needs and highlight essential requirements for automatic feedback generation. The results of both experiments provide a scientific basis for designing more adaptive and personalized in-vehicle interfaces for automated driving.
- TextdokumentProduktentwicklung aus Usabilitysicht: Was läuft falsch?(Tagungsband UP05, 2005) Badran, Jacqueline; Gunten, Beat von; Born, Angie; Hedwiger, InaUsability-Professionals leiden unter der noch jungen Berufsgattung. Im User Centered Design Prozess können sie ihre Anliegen und Befunde oft nicht durchsetzen, die verfügbaren Ressourcen sind zu gering, sie werden zu spät einbezogen, ihre Methoden werden als zu wenig repräsentativ angesehen und der klassischen quantitativen Markforschung wird mehr Beachtung geschenkt. Die Autoren liefern an einem ausführlichen vergleichenden Fallbeispiel aus der Praxis, Denkanstösse wie ein optimaler Produktentwicklungsprozess sein könnte. Sie postulieren dabei, dass Usability Professionals nicht nur als Consultants beigezogen werden sollten, sondern den Prozess führen sollten und dabei das Dienstleistungs- und Methodenportfolio ausgeweitet werden sollte. Ausserdem postulieren sie eine Verschiebung der Budgets von der klassischen Marktforschung hin zur Usabilityforschung, da sie relevantere Resultate liefert. Damit einhergehend ist die Ausweitung der Fragestellungen – wie zum Beispiel der User Acceptance – der Usabilityforschung innerhalb von Praxisprojekten.
- KonferenzbeitragTrust in Technology as a Safety Aspect in Highly Automated Driving(i-com: Vol. 15, No. 3, 2016) Wintersberger, Philipp; Riener, AndreasTrust in technology is an important factor to be considered for safety-critical systems. Of particular interest today is the transport domain, as more and more complex information and assistance systems find their way into vehicles. Research in driving automation / automated driving systems is in the focus of many research institutes worldwide. On the operational side, active safety systems employed to save lives are frequently used by non-professional drivers that neither know system boundaries nor the underlying functional principle. This is a serious safety issue, as systems are activated under false circumstances and with wrong expectations. At least some of the recent incidents with advanced driving assistance systems (ADAS) or automated driving systems (ADS; SAE J3016) could have been prevented with a full understanding of the driver about system functionality and limitations (instead of overreliance). Drivers have to be trained to accept and use these systems in a way, that subjective trust matches objective trustworthiness (cf. “appropriate trust”) to prevent disuse and / or misuse. In this article, we present an interaction model for trust calibration that issues personalized messages in real time. On the showcase of automated driving we report the results of two user studies related to trust in ADS and driving ethics. In the first experiment (N = 48), mental and emotional states of front-seat passengers were compared to get deeper insight into the dispositional trust of potential users of automated vehicles. Using quantitative and qualitative methods, we found that subjects accept and trust ADSs almost similarly as male / female drivers. In another study (N = 40), moral decisions of drivers were investigated in a systematic way. Our results indicate that the willingness of drivers to risk even severe accidents increases with the number and age of pedestrians that would otherwise be sacrificed. Based on our initial findings, we further discuss related aspects of trust in driving automation. Effective shared vehicle control and expected advantages of fully / highly automated driving (SAE levels 3 or higher) can only be achieved when trust issues are demonstrated and resolved.