The theme of AffCon 2021 is the study of affect in collaboration. The word ‘affect’ is used to refer to emotion, sentiment, mood, and attitudes including subjective evaluations, opinions, and speculations. Psychological models of affect have been adopted by other disciplines to conceptualize and measure users’ opinions, intentions, and expressions. However, the context-specific characteristics of human affect suggest the need to measure in ways that recognize multiple interpretations of human responses.
We invite research spanning both creation and consumption of content, especially for cooperative tasks. Our focus on affective content in collaborations includes, but is not limited to, collectively created content, reactions in groups, interactions through avatars, and multi-modal interfaces. We also strongly encourage research that explores these themes, and group dynamics in content creation and in affective reactions.
Affect in Collaborative Content
Affect in Communication co-creation
Affective Reactions in Co-creation and collaboration
Affectively responsive interfaces
Deep learning-based models for affect modeling in content (image, audio, and video)
Mirroring affect
Psycho--demographic Profiling
Affect--based Text Generation
Multi-modal Affect
Stylometrics, Typographics, and Psycho-linguistics
Cognitive and psychological computational models of creativity
Affective needs and Firm-Consumer co-creation Behavior
Computational models for Consumer Behavior theories of innovation
Affective Lexica for Online Marketing Communication
Affective human-agent, human-computer, and human-robot interaction
We especially invite papers investigating multiple related themes, industry papers, and descriptions of running projects and ongoing work. To address the scarcity of standardized baselines, datasets, and evaluation metrics for cross-disciplinary affective content analysis, submissions describing new language resources, evaluation metrics, and standards for affect analysis and understanding are also strongly encouraged.
Submissions should be made via EasyChair and must follow the formatting guidelines for AAAI-2021 (use the AAAI Author Kit). All submissions must be anonymous and conform to AAAI standards for double-blind review. Both full papers (8 page long including references) and short papers (4 page long including references) that adhere to the 2-column AAAI format will be considered for review.
We are pleased to announce the 2021 CL-Aff Shared Task: Diplomacy, which will examine the challenges of affect in online collaborations.
See CL-Aff for Dataset details, Task details and deadlines.