A study of the user experience when interacting with applications that work with sports armbands to monitor human activity
Mateusz Kiryczuk
mateusz.kiryczuk@pollub.edu.pl(Poland)
Paweł Kocyła
(Poland)
Mariusz Dzieńkowski
Lublin University of Technology
Abstract
This paper concerns the study of user experience and focuses on two aspects i.e. usability and user satisfaction. Two mobile applications for monitoring human activity, Mi Fit and Google Fit, were tested. Both applications work with sports armbands. Two methods were used for the study: a questionnaire and eye tracking. The comparison of the applications was made on the basis of the collected results from questionnaires, measurements of task completion times and the number and type of errors detected. Nine respondents participated in the study. The Google Fit application received a higher average score for user satisfaction, fewer errors and shorter task completion times.
Keywords:
user experience, usability, sports armband, eye trackingReferences
S. Ambler, User Interface Design: Tips and Techniques, Toronto: Cambridge University Press, 2000.
Google Scholar
J. Gao, X. Bai, W.T. Tsai, T. Uehara, Mobile Application Testing: A tutorial, (2014) 46-55.
DOI: https://doi.org/10.1109/MC.2013.445
Google Scholar
J. Seo, Y. Choi, J. Kwak, H. Kim, Y. Yoon, Mobile device of bangle type, control method thereof and user interface (UI) display method, Google Patents, 2017.
Google Scholar
K. R. Evenson, M. M. Goto, R. D. Furberg , Systematic review of the validity and reliability of consumer-wearable activity trackers, International Journal of Behavioral Nutrition and Physical Activity 12(159) 2015, https://doi.org/10.1186/s12966-015-0314-1.
DOI: https://doi.org/10.1186/s12966-015-0314-1
Google Scholar
B. Benet, Quantifying Sleep Quality with Smartband Technology, 2015. DOI: 10.13140/RG.2.1.2943.3448.
Google Scholar
J. Park, Hyun-Seo Hwang, Il-Young Moon, Study of Wearable Smart Band for a User Motion Recognition System, International Journal of Smart Home 8(5) (2014) 33-44. DOI: 10.14257/ijsh.2014.8.5.04.
DOI: https://doi.org/10.14257/ijsh.2014.8.5.04
Google Scholar
F. Fotouhi-Ghazvini, S. Abbaspour, Wearable Wireless Sensors for Measuring Calorie Consumption, Journal of Medical Signals and Sensors 10(1) (2020) 19-34. DOI: 10.4103/jmss.JMSS_15_18.
DOI: https://doi.org/10.4103/jmss.JMSS_15_18
Google Scholar
A. Bojko, Eye tracking the user experience: A practical guide to research, Brooklyn, NY: Rosenfeld Media, 2013.
Google Scholar
M. Borys, M. Milosz, Mobile Application Usability Testing in Quasi-Real Conditions. A Case Study of a Mobile Eye Tracker, 8th International Conference on Human System Interactions, IEEE (2015) 381-387.
DOI: https://doi.org/10.1109/HSI.2015.7170698
Google Scholar
Pupil Labs, Pupil Invisible. Technical Specs & Performance, https://pupil-labs.com/products/invisible/
Google Scholar
tech-specs/, [10.09.2021].
Google Scholar
iMotions, https://imotions.com/, [10.09.2021].
Google Scholar
M. Mussgnug, Q. Lohmeyer, M. Meboldt, Raising Designers' Awareness of User Experience by Mobile Eye Tracking Records, DS 78: Proceedings of the 16th International Conference on Engineering and Product Design Education (E&PDE14), University of Twente, The Netherlands (2014) 99-104.
Google Scholar
Authors
Paweł KocyłaPoland
Authors
Mariusz DzieńkowskiLublin University of Technology
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