Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/34361
Title: EXPLORING EYES-FREE USER MOTIVATION AND PREDICTING MENTAL WORKLOAD IN MOBILE HCI
Authors: YI BO
Keywords: Eyes-free, user motivation, mental workload predication, mobile HCI
Issue Date: 2-Apr-2012
Source: YI BO (2012-04-02). EXPLORING EYES-FREE USER MOTIVATION AND PREDICTING MENTAL WORKLOAD IN MOBILE HCI. ScholarBank@NUS Repository.
Abstract: With an ongoing shift from desktop to mobile computing, it is timely to examine how interaction techniques can be optimized for mobile usage scenarios. This thesis presents an exploration of two important usability factors closely related to the design of mobile interfaces and interaction techniques ¿ user motivation and mental workload. We first investigated user motivations for eyes-free mobile interaction. Eyes-free interaction, or interacting with mobile devices with little or no visual attention, is particularly attractive in mobile scenarios as the visual attention is often heavily taxed by mobility tasks. We presented a classification of motivations for eyes-free interaction under four categories (environmental, social, device features, and personal). Inspired by the observation on user motivations and design problems, we then explored the mental workload prediction methods for mobile HCI design especially in different mobile scenarios. Based on multiple resource theory [147] and W/INDEX [102], we derived a mental workload prediction method with two variants for dual-task conditions. Compared with the previous methods, our tailored method uses self-reported cognitive resource requirement scores instead of expert estimations for individual mobility and mobile HCI tasks, which significantly increases the practicality of the method to be used by designers and researchers. An experiment was conducted to validate our method with two variants and the results showed promising potential.
URI: http://scholarbank.nus.edu.sg/handle/10635/34361
Appears in Collections:Master's Theses (Open)

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