Abstract
Although the growing market of wearable devices primarily consists of smartwatches, fitness bands, and connected gadgets, its long tail includes a variety of diverse technologies based on novel types of input and interaction paradigms, such as gaze, brain signals, and gestures. As the offer of innovative wearable devices will increase, users will be presented with more sophisticated alternatives: among the several factors that influence product adoption, perceived user experience has a significant role. In this paper, we focus on human factors dynamics involved in the pre- and post-adoption phase, that is, before and after customers buy or use products. Specifically, objective of our research is to evaluate aspects that influence the perceived value of particularly innovative products and lead to purchasing them. To this end, we present the results of a pilot study that compared performance expectancy, effort expectancy, social influence, and facilitating conditions, in the pre- and post-adoption stages of three types of wearable technology, i.e., brain-computer interface, gesture controllers, and eye-tracking systems.
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Caporusso, N. et al. (2020). Comparative User Experience Analysis of Pervasive Wearable Technology. In: Ahram, T. (eds) Advances in Human Factors in Wearable Technologies and Game Design. AHFE 2019. Advances in Intelligent Systems and Computing, vol 973. Springer, Cham. https://doi.org/10.1007/978-3-030-20476-1_1
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DOI: https://doi.org/10.1007/978-3-030-20476-1_1
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