| 1. |
- Ebel, Patrick, et al.
(författare)
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Automotive UX design and data-driven development: Narrowing the gap to support practitioners
- 2021
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Ingår i: Transportation Research Interdisciplinary Perspectives. - : Elsevier BV. - 2590-1982. ; 11
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Tidskriftsartikel (refereegranskat)abstract
- The development and evaluation of In-Vehicle Information Systems (IVISs) is strongly based on insights from qualitative studies conducted in artificial contexts (e.g., driving simulators or lab experiments). However, the growing complexity of the systems and the uncertainty about the context in which they are used, create a need to augment qualitative data with quantitative data, collected during real-world driving. In contrast to many digital companies that are already successfully using data-driven methods, Original Equipment Manufacturers (OEMs) are not yet succeeding in releasing the potentials such methods offer. We aim to understand what prevents automotive OEMs from applying data-driven methods, what needs practitioners formulate, and how collecting and analyzing usage data from vehicles can enhance UX activities. We adopted a Multiphase Mixed Methods approach comprising two interview studies with more than 15 UX practitioners and two action research studies conducted with two different OEMs. From the four studies, we synthesize the needs of UX designers, extract limitations within the domain that hinder the application of data-driven methods, elaborate on unleveraged potentials, and formulate recommendations to improve the usage of vehicle data. We conclude that, in addition to modernizing the legal, technical, and organizational infrastructure, UX and Data Science must be brought closer together by reducing silo mentality and increasing interdisciplinary collaboration. New tools and methods need to be developed and UX experts must be empowered to make data-based evidence an integral part of the UX design process.
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| 2. |
- Orlovska, Julia, 1977, et al.
(författare)
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Real-time Personalized Driver Support System for Pilot Assist Promotion in Different Traffic Conditions
- 2021
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Ingår i: Procedia CIRP. - : Elsevier BV. - 2212-8271. ; 104, s. 659-664
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Konferensbidrag (refereegranskat)abstract
- The complexity of advanced in-vehicle systems and level of automation provided is currently increasing, making the understanding of smart systems design and limitations challenging to a driver. As a result, misinterpretation of the system's capabilities can be detrimental to perceived usefulness and the system's usage. The personalized real-time driver support concept presented in this paper is designed to improve the driver's understanding of Pilot Assist (PA) and increase PA usage effectiveness in various traffic contexts. The designed communication informs drivers about PA capabilities in various traffic conditions, helping drivers recognize the appropriate context for PA activation and reflect on their own PA use strategy.
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