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Empathy can be defined as the ability to perceive and understand others' emotional states. Neuropsychological evidence has shown that humans empathize with each other to different degrees depending on factors such as their mood, personality, and social relationships. Although artificial agents have been endowed with features such as affect, personality, and the ability to build social relationships,...
We present an adaptive biofeedback game that aims to maintain the player's arousal level by monitoring physiological signals. We use concepts from control theory to model the interaction between human physiology and game difficulty during game play. We validate the approach on a car-racing game with real-time adaptive game mechanics. Specifically, we use car speed, road visibility, and steering jitter...
To contribute to the need for emotional databases and affective tagging, the LIRIS-ACCEDE is proposed in this paper. LIRIS-ACCEDE is an Annotated Creative Commons Emotional DatabasE composed of 9800 video clips extracted from 160 movies shared under Creative Commons licenses. It allows to make this database publicly available without copyright issues. The 9800 video clips (each 8-12 seconds long)...
This paper presents the analysis of the multimodal behavior of experienced practitioners of job interview coaching, and describes a methodology to specify their behavior in Embodied Conversational Agents acting as virtual recruiters displaying different interpersonal stances. In a first stage, we collect a corpus of videos of job interview enactments, and we detail the coding scheme used to encode...
We present the preliminary results of an ongoing research aimed at investigating the role of social media in the process of trust building, with particular attention to the case of small-medium enterprises (SME). Our findings show that social media contribute to increase the affective trust more than traditional websites. This result suggests that social media have the potential to enhance the business...
The performance of speaker recognition system degrades when the emotional states are inconsistent during the enrollment and evaluation stage. Emotional GMM model synthesis, such as NEGT (Neutral-Emotional GMM mean Transformation), is one way to reduce this degradation. This paper discovers that GMM weight transformation is also feasible and the number of parameters that need to be modified is much...
Prior to 2003, mankind generated a total of about 5 Exabyte's of contents. Now, we generate this amount of contents in about two days! The spread of generic (as Twitter, Facebook or Google+) or specialized (as Linked In or Viadeo) social networks allows sharing opinions on different aspects of life every day. Therefore this information is a rich source of data for opinion mining and sentiment analysis...
Measuring evocative emotions in affective interactions has become a critical step for effective engagements with computers. Electro dermal activity is believed to accurately isolate sympathetic responses, revealing paths to excitement, attention and arousal, and to differentiate emotional states. However, the inability to deal with varying amplitude and length of responses across individuals has led...
Automatic recognition of emotion using facial expressions in the presence of speech poses a unique challenge because talking reveals clues for the affective state of the speaker but distorts the canonical expression of emotion on the face. We introduce a corpus of acted emotion expression where speech is either present (talking) or absent (silent). The corpus is uniquely suited for analysis of the...
Although considerable progress has been made in the field of facial feature point detection and tracking, accurate feature point tracking is still very challenging. Manually feature point labeling and correction are time consuming and labor intensive. To alleviate this problem, an active feature point labeling method is proposed in this paper. First, the spatial relations among feature points are...
Loneliness and social isolation are significant problems in older adult populations. We describe a conversational agent-based system designed to provide longitudinal social support to isolated older adults. Results from an exploratory pilot study indicate that when the agent proactively draws elders into interactions, it is more effective at addressing loneliness than when the agent passively relies...
Performance on crowd sourcing platforms varies greatly, especially for tasks requiring significant cognitive effort or creative insight. Researchers have proposed several techniques to address these problems, yet few have considered the role of affect, despite the well-established link between positive affect and creative performance. In this paper, we examine two affective techniques to boost creativity...
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