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Auflistung nach Autor:in "Frison, Anna-Katharina"

1 - 5 von 5
  • Konferenzbeitrag
    7th Workshop "Automotive HMI”: Safety meets User Experience (UX)
    (Mensch und Computer 2018 - Workshopband, 2018) Riener, Andreas; Geisler, Stefan; van Laack, Alexander; Frison, Anna-Katharina; Detjen, Henrik; Pfleging, Bastian
    Automotive user interfaces and automated vehicle technology pose numerous challenges to support all diverse facets of user needs. These range from inexperienced, thrill-seeking, young novice drivers to elderly drivers with a mostly opposite set of preferences together with their natural limitations. To allow assessing the (hedonic) quality of automotive user interfaces and automated driving technology (i. e., UX) already during development, the proposed workshop is dedicated to the quest of finding objective, quantifiable criteria to describe future driving experiences. The workshop is intended for HCI, AutomotiveUI, and “Human Factors” researchers and practitioners as well for designers and developers. In adherence to the conference main topic “Interaktion – Verbindet – Alle”, this workshop calls in particular for contributions in the in the areas of human factors and ergonomics (user acceptance, trust, user experience, driving fun, natural user interfaces, etc.) with focus on hedonic quality and design of user experience to enhance the safety feeling in ADS.
  • Konferenzbeitrag
    The Influence of User Openness on Acceptance and UX of Smart Speakers
    (Mensch und Computer 2019 - Tagungsband, 2019) Oberhofer, Amelie; Schmidt, Sabrina; Wild, Clara; Frison, Anna-Katharina; Riener, Andreas
    Smart speakers have recently gained much interest and are expected to get even more attention in the future. However, not everybody has positive attitudes towards this new technology. In this work, we investigate whether or not the acceptance of smart speakers is dependent on their general "openness” as one personality dimension. We compared “open” persons (early adopter) with non-open persons (laggard) in a Wizard-of-Oz study setting and let our subjects interact with a smart speaker-replica (with both natural and computer-generated voice feedback). As baseline condition, subjects had to carry-out tasks in a traditional way, i. e., without the help of a smart assistant. Our study could not reveal significant effects regarding “openness” and acceptance of smart speakers, but we identified that the design of smart speakers need to be enhanced anyway to achieve a higher acceptance in society.
  • Workshopbeitrag
    The Level of Harmony: A Validation Strategy for Brand & User Experience
    (Mensch und Computer 2017 - Tagungsband, 2017) Frison, Anna-Katharina; Zotz, Pamela; Riener, Andreas
    To stay competitive, users’ needs have to be continuously addressed and holistically contemplated. Likewise, in order to create a harmonic user and brand experience, also brands’ own values have to be regarded carefully. In this work, we present a first version (work-in progress) of an evaluation strategy aimed at assessing how to validate the level of harmony between brand and user experience at the touch-point of a user interface. The goal is to support design agencies to iteratively create and justify the designs to their clients. Our hypothesis is that human values can be taken as representations of universal psychological human needs, which companies want to constitute to reach a certain audience. The assumptions is, that from the level certain psychological needs are fulfilled by using a product, it can be deriving whether or not brand values could be translated into a product by design. Initial results confirm our hypothesis and reveal insights about matches and mismatches between UX and BX.
  • Konferenzbeitrag
    Senior Drivers: Using the Benefits of Automated Driving for the Elderly
    (Mensch und Computer 2017 - Workshopband, 2017) Frison, Anna-Katharina; Aigner, Laura; Riener, Andreas; Wintersberger, Philipp
    Since the commercial launch of vehicles, life expectancy in Western countries almost doubled, and this trend is expected to continue. By 2060, some 30% of the society will be elderly people (aged 65+). It is obvious that the elderly will become an important target group for manufacturers of automated driving systems and that vehicle designers will have to deal with their special needs and requirements. This is further underpinned by the fact that most purchaser of (premium) vehicles are over 50. In this work, we discuss relevant aspects of the target group 65+ in the context of (highly) automated driving and propose a research method to identify how future interfaces for automated vehicles should look like. By performing a user-centered design process composed of different methods (user studies in driving simulators, think-aloud, and UX-curves), we hypothesize that the requirements of elderly people can be assessed adequately. The final result of this project should be a better understanding of critical issues for senior driver-passengers in terms of UX, user acceptance, and trust in technology.
  • Konferenzbeitrag
    Towards a Personalized Trust Model for Highly Automated Driving
    (Mensch und Computer 2016 – Workshopband, 2016) Wintersberger, Philipp; Frison, Anna-Katharina; Riener, Andreas; Boyle, Linda Ng
    User acceptance of automated vehicles (and dependent dimensions such as road safety, frequency of use or level of recommendation) is said to be highly dependent on the operator’s individual trust in this technology. As a consequence, the development of driving functions and future driver-vehicle interfaces should allow for appropriate trust calibration. To better understand trust and the effect of mis-calibration on the way to a personalized trust model, we propose a set of trust-related research questions derived from related work and our own user studies. Based on preliminary investigation, we recommend examining 1) differences in users and subgroups of users, 2) different levels of trust based on situation or context, 3) methods for quantifying trust in naturalistic driving studies, and 4) definitions for an established/approved trust model and the individual calibration of the model with regard to driving behavior and automotive user interfaces. The final outcome should be a multidimensional trust model that fits the individual passenger/driver by dynamically adapting driving mode and UI representation/feedback.