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User Experience Design Based on Eye-Tracking Technology: A Case Study on Smartphone APPs

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Advances in Applied Digital Human Modeling and Simulation

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 481))

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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Acknowledgments

This work was conducted in and supported by Discovery & Learning Research Center, Purdue University. Authors are grateful for the staffs and those shown in Figs. 1, 2, 3 and 4 for their permission to show their likeness in this article.

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Correspondence to Qing-Xing Qu .

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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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  • Publisher Name: Springer, Cham

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