ABSTRACT
This work presents a model for the development of affective assistants based on the pillars of user states and traits. Traits are defined as long-term qualities like personality, personal experiences, preferences, and demographics, while the user state comprises cognitive load, emotional states, and physiological parameters. We discuss useful input values and the necessary developments for an advancement of affective assistants with the example of an affective in-car voice assistant. With our work we help to shape the vision of our community regarding affective interfaces, not just in the automotive domain but also for other application areas.
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Index Terms
- Affective Assistants: A Matter of States and Traits
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