Diana Arellano

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This paper presents an affective model that determines the emotional state of a character according to the personality traits and the experienced emotions. We consider an emotional state as the layer between personality and emotion. The proposed affective model offers a mapping between emotions and emotional states. To evidence emotional states of a virtual(More)
SINASense is a novel motion-based interface that serves as an educational application for children with severe or profound cognitive, sensory and physical impairments. The application makes use of computer vision to track the body movements of the user, which in turn trigger meaningful outcomes from the system. In this paper we describe the design(More)
The aim of this research is to explore the influence of static visual cues on the perception of a character's personality traits: extraversion, agreeableness and emotional stability. To measure how users perceived personality, we conducted a web-based study with 133 subjects who rated 54 images of a virtual character with varying head orientations and gaze.
We investigate the effect that stylized facial expressions have on the perception and categorization of emotions by participants with high-functioning Autism Spectrum Disorder (ASD) in contrast to two control samples: one with Attention-Deficit/Hyperactivity Disorder (ADHD), and one with neurotypically developed peers (NTD). Realtime Non-Photorealistic(More)
SARA is an ongoing research project that investigates in a novel and artistic way the causes for social communication and emotion recognition deficits in children and adolescents with high-functioning autism spectrum disorders (ASD). The novelty of our work resides in the real-time generation and parameterization of emotional facial expressions of virtual(More)