Overview

Welcome to the Affective Computing special track for the 25th Florida Artificial Intelligence Research Society Conference (FLAIRS-25) to be held May 23-25, 2012 in Marco Island, Florida, USA. This special track will include a 6-page papers published by AAAI.

What is Affective Computing?

Affective Computing (AC) is an emerging field that aspires to narrow the communicative gap between the highly emotional human and the emotionally challenged computer by developing computational systems that recognize and respond to the affective states (e.g., moods, emotions) of the user. The basic tenet behind AC systems is that automatically recognizing and responding to a user's affective states during interactions with a computer can enhance the quality of the interaction, thereby making the computer interface more usable, enjoyable, and effective. For example, an affect-sensitive learning environment that detects and responds to student frustration is expected to increase motivation, engagement, and learning gains. 

What is a special track?

FLAIRS special tracks are held in parallel with the general FLAIRS conference. A special track consists of a group of papers in a sub-discipline of artificial intelligence. Special tracks are an integral part of each FLAIRS conference: their papers are required to meet the same standards and are published in the conference proceedings, and the tracks run in parallel with the general conference. Special tracks provide researchers in focused areas the opportunity to meet and present their work, and offer a forum for interaction among the broader community of artificial intelligence researchers

What is the goal of the Affective Computing track?

This special track will serve as a forum to unite researchers from the interdisciplinary arena that encompasses computer science, engineering,  HCI, psychology, and education  to exchange ideas, frameworks, methods, and tools relating to Affective Computing. Although the last decade has been ripe with theory and applications relevant to AC, these advances are accompanied by a new set of challenges. By providing a framework to discuss and evaluate novel research, we hope to leverage recent advances to speed-up future research in this area.

Who might be interested?

Building affect-aware computer applications is a highly interdisciplinary endeavor  that spans AI, HCI, psychology, computer science, engineering, neuroscience, linguistics, education, and many others. Researchers from these fields are expected to be interested.

What are the topics of interest?

Papers and contributions are encouraged for any work relating to Affective Computing. Topics of interest may include (but are in no way limited to)

  1. Basic research on affect, cognition, and motivation
  2. Individual differences and contextual influences on user affect
  3. Affect detection from facial feature tracking, vocal cues, body language, and gestures
  4. Affect detection from text (sentiment analysis, opinion mining, etc)
  5. Affect detection from physiology and brain imaging
  6. Multimodal affect detection
  7. Computational models of emotion
  8. Affect synthesis by embodied conversational agents, robots, etc
  9. Strategies to help users regulate affect
  10. Temporal dynamics of affective states
  11. Emotion perception by humans
  12. Methodological issues in affective computing
  13. Affect-aware applications such as learning environments, gaming systems, robots, interventions for individuals suffering from autism spectrum disorders, etc
  14. Evaluating affect-aware applications

Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process).Please contact the organizers (sdmello@memphis.edu) if you are unsure about the suitability of your paper or for any other question.