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Heatmap Analysis of Webpages
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These days, as everything has gone online and virtual, we use websites on a regular basis in our daily lives. However, in order to match user needs, the question of how website admins would learn what the user wants emerges. So, using techniques like mouse clicking, this project captures information about user activity on a web page, and then using the appropriate technology, it converts the data into meaningful and insightful heatmaps. Its main goal is to make websites more user-friendly by providing web administrators with valuable information about users’ activities.
Keywords
Heatmap, Statistics, User Experience, User Interface, Web Tracking, Websocket.
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- A. Vijayan, “19 statistics showing “why website is important for your business.” Graffiti9. https://www.graffiti9.com/blog/website-importance-stats/
- A. Hanchar, “Simple beauty: The impact of visual complexity, prototypicality and color typicality on aesthetic perception in initial impression of websites.” [Online]. Available: https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.721.1525&rep=rep1&type=pdf
- A. Birkett, “How to use heat maps to improve your marketing.” CXL.com. https://cxl.com/blog/heat-maps/
- “Smart web solutions for your small business.” HostPapa. https://www.hostpapa.in/blog/marketing/heatmaps-what-they- are-and-why-you-should-use-them/
- P. T. Aagesen and C. Heyer, “Personality of interaction: Expressing brand personalities through interaction aesthetics,” in Proc. 2016 CHI Conf. Human Factors Comput. Syst. (CHI '16). Assoc. for Comput. Machinery, New York, NY, USA, pp. 3126–3130, 2016, doi: 10.1145/2858036.2858521.
- J. Solís-Martínez, J. P. Espada, R. González Crespo, B. C. Pelayo G-Bustelo, and J. M. Cueva Lovelle, "UXJs: Tracking and analyzing web usage information with a Javascript oriented approach," IEEE Access, vol. 8, pp. 43725–43735, 2020, doi: 10.1109/ACCESS.2020.2977879.
- K. Tzafilkou and N. Protogeros, “Monitoring mouse behavior in e-learning activities to diagnose students’ acceptance items of perceived usefulness and ease of use,” The Eur. Educational Researcher, pp. 21–27, doi: 10.31757/euer.312.
- K. E. S. Souza, M. C. R. Seruffo, H. D. D. Mello, D. D. S. Souza, and M. M. B. R. Vellasco, ”User experience evaluation using mouse tracking and Artificial Intelligence,” IEEE Access, vol. 7, pp. 96506–96515, 2019, doi: 10.1109/AC- CESS.2019.2927860.
- N. Prins, S.Qaderdan, A. Michaelides, V. Pintilie, M. . Vrie, “Web interface for visualizing eye-tracking data,” 10.13140/RG.2.2.27485.44002.
- A. Prisacari and T. Holme, “Using eye-tracking to test and improve website design,” In Marcus, A. (eds.) Des., User Experience, Usability. Des.Philosophy, Methods, Tools. DUXU 2013. Lecture Notes Comp. Sci., vol. 8012, pp. 389–398, 2013. Springer, Berlin, Heidelberg, doi: 10.1007/978-3-642-39229-0_42.
- M. C. Chen, J. R. Anderson, and M. H. Sohn, “What can a mouse cursor tell us more? Correlation of eye/mouse movements on web browsing,” CHI EA '01: CHI '01 Extended abstracts on human factors in computing systems, March 2001, pp. 281–282, doi: 10.1145/634067.6342342001.
- C. Cepeda, J. Rodrigues, M. C. Dias, D. Oliviera, D. Rindlisbacher, M. Cheetham, & H. Gamboa, “Mouse tracking measures and movement patterns with application for online surveys,” In A. Holzinger, P. Kieseberg, A. Tjoa, and E. Weippl, (Eds.) Mach. Learn. Knowl. Extraction. CD-MAKE 2018. Lecture Notes Comp. Sci., vol 11015. Springer, Cham, doi: 10.1007/978-3-319-99740-7_3.
- F. Lamberti and G. Paravati, "VDHM: Viewport-DOM based heat maps as a tool for visually aggregating web users' interaction data from mobile and heterogeneous devices," 2015 IEEE Int.Conf. Mobile Services, 2015, pp. 33–40, doi: 10.1109/MobServ.2015.15.
- O. Al-Shamaileh and A. Sutcliffe, “Investigating a multi- faceted view of user experience,” Proc. 24th Australian Comput.-Human Interaction Conf., pp. 9–18, 2012. doi:10.1145/2414536.2414538.
- V. Evers, “Cross-cultural applicability of user evaluation methods: A case study amongst Japanese, North-American, English and Dutch user,”. In CHI '02 Extended Abstracts on Human Factors in Computing Systems (CHI EA '02). Assoc. Comput. Machinery, New York, NY, USA, pp. 740–741, 2002, doi : 10.1145/506443.506574.
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