Abstract
With the rapid development of mobile technology, smartphone has been becoming a part of our daily life. There are amounts of applications (APPs) developed for smartphone in the market, in order to meet the various needs of users. Recently, the user experience evaluation research of smartphone APPs is mainly based on subjective questionnaires, which might be relatively simple and lacking of the supporting evidence from objective data. This study aims at integrating subjective questionnaires and objective eye-tracking technology to evaluate user experience on instant message (IM) APPs. This study proposed that eye-tracking data could be used as objective criteria to evaluate user experience for smartphone APPs. A correlation model between smartphone APPs design variables and user experience was built based on Quantification Theory I.
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Qu, QX., Zhang, L., Chao, WY., Duffy, V. (2017). User Experience Design Based on Eye-Tracking Technology: A Case Study on Smartphone APPs. In: Duffy, V. (eds) Advances in Applied Digital Human Modeling and Simulation. Advances in Intelligent Systems and Computing, vol 481. Springer, Cham. https://doi.org/10.1007/978-3-319-41627-4_27
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DOI: https://doi.org/10.1007/978-3-319-41627-4_27
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