Toward empathic systems: implicit understanding and modulation of human cognitive and affective states
Emotions are a fundamental part of human life. They play a critical role in how we think, behave, and implicitly understand each other. However, although computing devices are increasingly consequential in our world, they still lack meaningful emotional capabilities, so we can only interact with the...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | CBUC, CESCA |
| Repositorio: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/688062 |
| Acceso en línea: | http://hdl.handle.net/10803/688062 |
| Access Level: | acceso abierto |
| Palabra clave: | Emotion Empathy Interaction Emoció Empatia Interacció 62 |
| Sumario: | Emotions are a fundamental part of human life. They play a critical role in how we think, behave, and implicitly understand each other. However, although computing devices are increasingly consequential in our world, they still lack meaningful emotional capabilities, so we can only interact with them explicitly. This thesis explores and develops how synthetic systems could implicitly understand and modulate human cognitive and affective states to enhance our interaction with them. First, we introduce a technological architecture to sense user information, interpret it, and dynamically adapt immersive environments. Then, we present several studies exploring methods to infer different internal states from multiple sources, including physiological signals, keystroke dynamics, and affective ratings. Finally, we show two examples of interactive and adaptive experiences exploiting implicit understanding to assist users when needed. Overall, our results offer insights into human emotion and contribute toward developing empathic systems, better prepared to support us and to act autonomously. |
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