Name
Title | ||
|---|---|---|
A Rapid HMI Prototyping Based on Personality Traits and AI for Social Connected Thermostats |
Abstract | ||
|---|---|---|
Residential energy efficiency decreases electricity consumption and saves energy worldwide. Moreover, 86% of the residential buildings use thermostats that control the Heating, Ventilation, and Air-Conditioning (HVAC) system. The energy consumption can decrease from 11% to 18% due to user behavior modifications accompanied by strategies such as feedback and gamification. Social products use gamification features to interact with the end-user and other devices. However, tailored gamified Human-Machine Interfaces (HMI) must consider five personality traits. As a result, implementing Artificial Neural Networks (ANN) within the HMIs can classify the type of user and deploy a tailored strategy to save energy and promote behavioral changes. Thus, this paper shows a three-step framework to develop a rapid prototype using Arduino and MATLAB/Simulink to predict which type of gamified interface is needed depending on the personality traits. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-89820-5_18 | ADVANCES IN SOFT COMPUTING (MICAI 2021), PT II |
Keywords | DocType | Volume |
Connected thermostat, Gamification, Tailored HMI, ANN, Arduino, Personality traits | Conference | 13068 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juana Isabel Méndez | 1 | 0 | 2.37 |
| Pedro Ponce | 2 | 2 | 3.07 |
| Marcel Pecina | 3 | 0 | 0.34 |
| Gustavo Schroeder | 4 | 0 | 0.34 |
| Sergio Castellanos | 5 | 0 | 0.34 |
| Therese Peffer | 6 | 1 | 2.10 |
| Alan K. Meier | 7 | 0 | 0.68 |
| Arturo Molina | 8 | 0 | 1.01 |