Interaction modeling based on human behavior classification

The variety of human behaviors makes user-product interaction difficult to manage and foresee, especially concerning users running into problems. This research considers several interaction problems and identifies recurring behaviors. Then, it highlights the users, products and environments' aspects corresponding to each of these behaviors. This makes possible foreseeing the behavior of specific users who run into problems while interacting with specific products in specific environments. The results are used to upgrade an existing user-product interaction modeling approach in order to make it able to suggest better-focused product improvements to designers as well as alternative problem solving to different users

Multiplayer game for decision-making in energy communities

Energy communities are widely studied from various perspectives, especially in the context of geopolitical events of recent years, when humanity is faced with the need for urgent solutions to promote climate change and alleviate the crisis of energy resources. Although citizens' interest in the use of renewable resources has gradually grown, energy policy support measures for more active participation of society in the implementation of energy efficiency measures are still being implemented with variable success, especially through mutual agreement. Serious games are a rapidly growing tool for awareness and collaboration on a single platform for gamers seeking solutions to energy resource optimization issues. The paper focuses on energy community versus energy use practices, trends, and intervention strategies in multifamily residential blocks, using serious gaming and direct user online feedback. This study uses a multi-player simulation tool to enable the modelling of scenarios for energy efficiency measures for apartment building block residents and energy community target goals for decision-making decisions. User experience and game mechanics were tested on a pre-selected group. The results indicate positive feedback, including a practical application for both energy community and professionals, and provide valuable recommendations for further research and improvement of the tool

Using an Agent-Based Modeling Simulation and Game to Teach Socio-Scientific Topics

In our modern world, where science, technology and society are tightly interwoven, it is essential that all students be able to evaluate scientific evidence and make informed decisions. Energy Choices, an agent-based simulation with a multiplayer game interface, was developed as a learning tool that models the interdependencies between the energy choices that are made, growth in local economies, and climate change on a global scale. This paper presents the results of pilot testing Energy Choices in two different settings, using two different modes of delivery