Equilibrium State of Interaction: Maximizing User Experience through Optimum Adaptivity States

Nowadays, the role of the computer and the Internet has been upgraded in the lives of people, witnessing a paradigm shift on how users communicate with each other or with their service providers. Main characteristics of this reality include dynamic strategies and conditions, multivariate random interactions with instant feedback, and holistic activities with no clear origins across mixed realities. Thereupon, it seems that traditional human-computer interaction methods and adaptivity practices lack the appropriate dynamicity to fully address these aspects and to explicitly offer holistic solutions for enhancing user experience. In this paper, we propose an alternative model and formalization by combining concepts like equilibria and refocusing the core of investigation into the actual single objective interactions that are generated by the interplay of two (or more) participatory ends over a time interval and which cannot be recognized a priori. The resulting interactions consist of dynamic suboptimal adaptivity states of the two that provide an Equilibrium State of Interaction and a motivational engagement.

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