Journal of Software Engineering and Applications, 2022, 15, 248-261 https://www.scirp.org/journal/jsea ISSN Online: 1945-3124 ISSN Print: 1945-3116 DOI: 10.4236/jsea.2022.157015 Jul. 27, 2022 248 Journal of Software Engineering and Applications Coupling of Serendipity, Affordance and Taxonomy in Digital Competence: HCI for Illiterates Livaniaina Razanakolona 1 , Andrianjaka Miary Rapatsalahy 1 , Hajarisena Razafimahatratra 1 , Sorin Ilie 2 , Thomas Mahatody 1 , Noble Akam 3 1 Laboratory for Mathematical and Computer Applied to the Development Systems (LIMAD), University of Fianarantsoa, Fianarantsoa, Madagascar 2 Department of Computers and Information Technology, University of Craiova, Craiova, Romania 3 Laboratory for Mediations, Informations, Communication and Arts, University of Bordeaux Montaigne, France Abstract This research work is the result of multidisciplinary research for the design of a digital learning tool from the basic level. Computer science guarantees the technical concepts of the development of the tool. At the same time, Informa- tion and Communication Science discipline describes the concepts of cogni- tive psychology with digital competence in computerization. The overall goal of this work is to provide an HCI component for basic level learning or HCI for the illiterate. It is about transforming a communication tool from a cogni- tive system to a digital learning tool adapted to the learner’s level of digital competence. The author relies on the UML class diagram to identify the af- fordance and serendipity of HCI property entities. The mathematical study of the similarity between these two properties allows us to update the learner’s profile. Stephanie’s approach was used when managing the learner’s profile and the digital competency taxonomy to classify the learner’s level of digital use. The principle of an expert system was taken up in this work to make the decision on the level of digital competence of the learner and to guide the so- lution so that the learning continues without interruption. This expert system integrates the data science of digital educational materials, defining its speci- ficity. The algorithm of the realization summarizes the implementation of the whole approach. αβGasy@mobile is an application on Android for Malagasy language literacy. To learn the letter “l” with this application, the initially low-level learner had an intermediate assessment score after 2 hours of con- How to cite this paper: Razanakolona, L., Rapatsalahy, A.M., Razafimahatratra, H., Ilie, S., Mahatody, T. and Akam, N. (2022) Coupling of Serendipity, Affordance and Taxonomy in Digital Competence: HCI for Illiterates. Journal of Software Engineering and Applications, 15, 248-261. https://doi.org/10.4236/jsea.2022.157015 Received: April 26, 2022 Accepted: July 24, 2022 Published: July 27, 2022 Copyright © 2022 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access