Abstract
Designing for persuasive interfaces in cars is a challenging task, particularly considering that new systems should not distract drivers. In order to support designers in their decisions, we present a novel framework for persuasive interface design with a focus on automotive UI. It is based on existing behaviour change models and extends them with categories to support interface design decisions. It serves three purposes: (1) it provides a tool to support designers in decision making when designing persuasive interfaces; (2) it can be used to create alternatives to existing systems; (3) it allows to structure literature reviews in order to identify blind spots and serve as an inspiration to ideate new approaches. we provide an analysis of three examples based on it to illustrate its applicability.
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CITATION STYLE
Paraschivoiu, I., Meschtscherjakov, A., Gärtner, M., & Sypniewski, J. (2019). Persuading the driver: A framework for persuasive interface design in the automotive domain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11433 LNCS, pp. 128–140). Springer Verlag. https://doi.org/10.1007/978-3-030-17287-9_11
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