Raising Designers' Awareness of User Experience by Mobile Eye Tracking Records

DS 78: Proceedings of the 16th International conference on Engineering and Product Design Education (E&PDE14), Design Education and Human Technology Relations, University of Twente, The Netherlands, 04-05.09.2014

Year: 2014
Editor: Erik Bohemia, Arthur Eger, Wouter Eggink, Ahmed Kovacevic, Brian Parkinson, Wessel Wits
Author: Mussgnug, Moritz; Lohmeyer, Quentin; Meboldt, Mirko
Series: E&PDE
Institution: ETH Zurich, Switzerland
Section: Using Technology in Teaching
Page(s): 099-104
ISBN: 978-1-904670-56-8

Abstract

Understanding the interaction between a user and a product in different areas of application provides an excellent basis for the development of innovative user-oriented products. User-product-interactions usually are characterized by a combination of well-observable user actions and cognitive processes, which are considerably more difficult to detect. One method to support the investigation of user experiences is mobile eye tracking. In contrast to conventional observation, mobile eye tracking provides benefits that allow revealing previously hidden aspects of user experiences, such as the visual attention paid by the user to the product, which might lead to improved designs. This paper presents an educational approach using mobile eye tracking recordings to raise design students’ awareness of user experience in an early stage. Applying the example of three different scene videos showing the interaction of a user and a power tool, an electrical bicycle and a medical device, it is described how design students can learn to analyze eye tracking data in order to evaluate aspects of usability and to identify explicit as well as implicit user needs. The paper finally discusses the appropriateness of mobile eye tracking recordings as a teaching medium to enhance the awareness of user experiences and gives recommendation for implementing this approach in design education.

Keywords: Mobile eye tracking, user experience, user-centred design, case-based learning

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