Sensing, Smart, Sustainable and Social Products (S4 Products) based on Gamification Strategies and Artificial intelligence for Smart Homes.

Invited Talk: Gamification and Artificial Intelligence for Designing Products

AbstractSmart homes require home appliance, S4 products, for working properly but the end users do not adopt them because those products have some usability and functionality problems. Sometimes, end users generate those problems because they do not understand how to use those products. Thus, these products are not completely accepted by the end user and the smart home cannot improve its performance. On the other hand, a gamification strategy could solve those problems using ludic learning; moreover, if artificial intelligence is included in the gamification strategy, the performance of the S4 product could be incremented and the social interconnection between products could be correctly accomplished.

For instance, S4 products in smart homes could be designed for saving energy and promoting a healthy lifestyle.  However, if the S4 products are not used correctly, the end user does not adopt them. As a result, these products will not be able to achieve the operational goals, and the smart home will not be able to promote a healthy lifestyle, and the levels of energy consumption will remain unchanged.   

On the other hand, a gamification strategy that includes artificial intelligence could be deployed into S4 products in order to solve usability and functionality problems for engaging end users with the S4 products. Besides, using gamification and artificial intelligence could stimulate the end user to change his/her behavior. Hence, S4 products that include a gamification strategy with artificial intelligence could improve smart home performance and promote healthy lifestyles. This talk describes how a gamification strategy with artificial intelligence in S4 products can enhance the communication between products and end users.

Dr. Pedro Ponce Cruz

Pedro Ponce Cruz studied Automation and Control Systems. His Masters and Ph.D. degree are in Electrical Engineering (control systems). Pedro has been working on electric systems, robots, signal processing, machine learning, control systems, power electronics, and advanced intelligent systems. Moreover, Pedro gained industrial experience from working with several international companies. Pedro worked as a field and design engineer for more than 14 years in automation and control systems. 
In 2002, he joined as a professor at Tecnológico de Monterrey Campus Ciudad de Mexico. From 2006 to 2014, he was the Director of the graduate program of Science in Engineering at Tecnológico de Monterrey Campus Ciudad de Mexico. Besides, these, he has been an advisor for several international industries for 15 years. He is a senior researcher at Tecnologico de Monterrey Campus Ciudad de Mexico