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Automotive UX design and data-driven development: Narrowing the gap to support practitioners

Ebel, Patrick; Orlovska, Julia; Hünemeyer, Sebastian; Wickman, Casper; Vogelsang, Andreas; Söderberg, Rikard


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. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000142418
Veröffentlicht am 26.04.2022
DOI: 10.1016/j.trip.2021.100455
Zitationen: 6
Zitationen: 9
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Produktentwicklung (IPEK)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 09.2021
Sprache Englisch
Identifikator ISSN: 2590-1982
KITopen-ID: 1000142418
Erschienen in Transportation Research Interdisciplinary Perspectives
Verlag Elsevier
Band 11
Seiten Art.-Nr.: 100455
Vorab online veröffentlicht am 16.08.2021
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