Evaluation frame to identify and quantify the potential addiction level of software based on its human-machine interaction design characteristics

This project aims to address, from the point of view of software engineering, the growing concern about the impact of technology addiction on today's society. This proposal aims to identify and evaluate the specific characteristics of the human-machine interaction of the software that generate addiction in users. The study will focus on analyzing various platforms, applications and software to understand how certain factors of human-machine interaction (elements such as immediate feedback, interface design, customization, among others) affect the generation of addictive habits. A qualitative-quantitative research method will be used to collect data, including surveys, interviews and behavioral analysis. The final purpose is to create an evaluation framework that allows to identify and quantify the level of potential addiction of software based on its design characteristics of human-machine interaction. In addition, it is intended to establish ethical guidelines and recommendations for developers in order to promote the creation of more responsible and less addictive digital products. This research has relevance in areas such as software engineering, psychology, ethics in technology and interaction design. The findings could impact on the formulation of design guides and digital addiction prevention strategies. In summary, the project focuses on understanding how the characteristics of interaction between humans and machines affect the generation of software addiction, with the purpose of developing an evaluation framework and ethical guidelines to promote a more responsible design in the software industry.

20th UNIVERSITY RESEARCH PROJECT COMPETITION