Abstract
Mental illness is prevalent, the primary cause of disability worldwide, and regardless of the extensive treatment choices. Mobile apps provide greater support for depression treatment that eliminates the communication barriers. This perspective can be dropped with poor application design. Our goal is to mining the user experience (UX) dimensions from top-n mental illness apps reviews that will help to design the better application for persons with severe mental illness (SMI) and cognitive deficits. In this paper, we extracted the key UX dimension from a huge corpus of mental illness apps reviews using unsupervised Latent Dirichlet Analysis (LDA). Finally, LDA uncovered 20 UX dimensions that need to consider for mental illness app design in order to promote the positive UX by reducing the cognitive load of app end users.
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References
Hussain, J., Ali, M., Bilal, H.S.M., Afzal, M., Ahmad, H.F., Banos, O., Lee, S.: SNS based predictive model for depression. In: Geissbühler, A., Demongeot, J., Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds.) ICOST 2015. LNCS, vol. 9102, pp. 349–354. Springer, Cham (2015). doi:10.1007/978-3-319-19312-0_34
Stoll, R.D., Pina, A.A., Gary, K., Amresh, A.: Usability of a smartphone application to support the prevention and early intervention of anxiety in youth. Cogn. Behav. Pract. (2017)
Shen, N., Levitan, M.-J., Johnson, A., Bender, J.L., Hamilton-Page, M., Jadad, A.A.R., Wiljer, D.: Finding a depression app: a review and content analysis of the depression app marketplace. JMIR MHealth UHealth. 3, e16 (2015)
Dalal, N.P., Quible, Z., Wyatt, K.: Cognitive design of home pages: an experimental study of comprehension on the World Wide Web. Inf. Process. Manag. 36, 607–621 (2000)
Rotondi, A.J., Sinkule, J., Haas, G.L., Spring, M.B., Litschge, C.M., Newhill, C.E., Ganguli, R., Anderson, C.M.: Designing websites for persons with cognitive deficits: Design and usability of a psychoeducational intervention for persons with severe mental illness. Psychol. Serv. 4, 202 (2007)
Vinogradov, S.: Cognition in schizophrenia: impairments, importance, and treatment strategies. Am. J. Psychiatry 160, 404–405 (2003)
Leavitt, M.O., Shneiderman, B.: Research-based web design & usability guidelines. US Department of Health and Human Services (2006)
Board, Access: Electronic and information technology accessibility standards (2000). Accessed 13 Dec 2000
Friedman, M.G., Bryen, D.N.: Web accessibility design recommendations for people with cognitive disabilities. Technol. Disabil. 19, 205–212 (2007)
Stjernswärd, S., Hansson, L.: User value and usability of a web-based mindfulness intervention for families living with mental health problems. Health Soc. Care Community 25, 700–709 (2017)
Guo, Y., Barnes, S.J., Jia, Q.: Mining meaning from online ratings and reviews: tourist satisfaction analysis using latent Dirichlet allocation. Tour. Manag. 59, 467–483 (2017)
Bardus, M., van Beurden, S.B., Smith, J.R., Abraham, C.: A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management. Int. J. Behav. Nutr. Phys. Act. 13, 35 (2016)
Xu, W., Liu, Y.: mHealthApps: a repository and database of mobile health apps. JMIR MHealth UHealth 3, e28 (2015)
Stoyanov, S.R., Hides, L., Kavanagh, D.J., Zelenko, O., Tjondronegoro, D., Mani, M.: Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR Mhealth Uhealth 3(1), e27 (2015). doi:10.2196/mhealth.3422. This Artic. Discusses Dev. Psychom. Prop. Mob. Appl. Rate Scale MARS Eval. Qual. Mob. Health Appl.
Chenlo, J.M., Losada, D.E.: An empirical study of sentence features for subjectivity and polarity classification. Inf. Sci. 280, 275–288 (2014)
Liang, Y., Liu, Y., Loh, H.T.: Exploring online reviews for user experience modeling. In: DS 75-7: Proceedings of the 19th International Conference on Engineering Design (ICED 2013), Design for Harmonies, vol. 7. Human Behaviour in Design, Seoul, Korea, 19–22 August 2013
Zou, J., Xu, L., Yang, M., Zhang, X., Yang, D.: Towards comprehending the non-functional requirements through developers’ eyes: an exploration of Stack Overflow using topic analysis. Inf. Softw. Technol. 84, 19–32 (2017)
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)
KNIME | Open for Innovation. https://www.knime.org/
Hussain, J., Lee, S.: Identifying user experience (UX) dimensions from UX literature reviews.
, pp. 323–324 (2016)Niwattanakul, S., Singthongchai, J., Naenudorn, E., Wanapu, S.: Using of Jaccard coefficient for keywords similarity. In: Proceedings of the International Multiconference of Engineers and Computer Scientists, p. 6 (2013)
, pp. 323–324 (2016)Acknowledgments
This work was supported by the Industrial Core Technology Development Program (10049079, Develop of mining core technology exploiting personal big data) funded by the Ministry of Trade, Industry and Energy (MOTIE, Korea).
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Hussain, J., Lee, S. (2017). Mining User Experience Dimensions from Mental Illness Apps. In: Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Enhanced Quality of Life and Smart Living. ICOST 2017. Lecture Notes in Computer Science(), vol 10461. Springer, Cham. https://doi.org/10.1007/978-3-319-66188-9_2
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