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Materializing experiential visions into sensory properties: The use of the experience map

Moving from conceptual design intentions to the materialization in product sensory qualities can be challenging. For Experience-driven designers this transition can be even more difficult, as they need to move from the abstract level of user experience to the concrete level of product features. In this paper, we suggest an approach to progressively deconstruct experiential visions and decrease the level of abstraction. We propose the use of a tool, namely the Experience Map, which describes five steps to develop a well-refined materialization and maintain a solid correlation with the initial intention. To investigate its value and challenge the approach in design practice, we set up four case studies. The analysis of designers’ attitudes towards the Experience Map gave insights on its ability to provide a structure for creative thoughts, while suiting different and subjective attitudes of designers. Moreover, the map supports the integration of several different elements and the exploration of alternative design directions to achieve the intended, holistic experience. Some limitations were also highlighted by the case studies, which are discussed in light of future work. </p

A framework of technology-supported emotion measurement

Emotion measurement is a vital aspect for new product development and product improvements (see e.g. P. Desmet &amp; Schifferstein, 2012). Nowadays, new technological devices, data mining, and social media offer many opportunities to invigorate design research. This paper tries to combine both aspects by exploring the question, how new technologies can be utilized for emotion-focused design research. The range of applicable technologies spans from eye-tracking, to EEG measuring, to semiautomated facial expression recognition in photographs or texts based on data mining technologies or crowdsourcing, etc. Furthermore, many traditional technologies for emotion tracking are becoming smaller and mobile, which allows also in-field research (e.g. mobile EEG headsets). Triangulating different data sources might result in new insights and improve user research significantly. This paper provides an overview of related literature indicating the current state of emotion measurement in the design field, and presents a framework that outlines possible new approaches utilizing new technologies. Thus, this work might contribute as a source of inspiration for other researchers to develop new research approaches for technology-supported emotion measurement