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AAAI2021 AI Conference workshop on Computing Affect

  • 1.  AAAI2021 AI Conference workshop on Computing Affect

    Posted 5 days ago

    CALL FOR PAPERS: THE AAAI-21 WORKSHOP ON AFFECTIVE CONTENT ANALYSIS

     

    Affect in Collaborative Creation

     

     

    AffCon-2021 is the fourth Affective Content Analysis workshop @ AAAI. The workshop series (i) builds upon the state of the art in neural and AI methods for modeling affect in interpersonal interactions and behaviors, and (ii) brings a confluence of research viewpoints representing several disciplines.

     

    This year, collaboration takes on an extra meaning in a physically distanced world, where everyone relies more heavily on computer-mediated cooperation. Understanding the dynamics of affect in collaborative content is more topical. The theme for AffCon@AAAI-2021 is 'Affect in Collaborative Creation', relevant for increasingly decentralized workplaces, asynchronous collaborations, and computer-mediated communication. The general topics of interest include, but are not limited to Focus areas:

    •             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

     

    Submit to our workshop at AAAI! It's our 4th year and we always have the coolest speakers.

     

    Workshop URL: https://sites.google.com/view/affcon2021

    Submission Site: https://easychair.org/conferences/?conf=affcon2021

     

    CALL FOR SHARED TASK SUBMISSIONS: We introduce the CLAff-GoTeam dataset this year, which examines the role of affect in inter- and intra-team trust. It builds on the Diplomacy dataset from Vlad Niculae, Srijan Kumar, Jordan Boyd-Graber, and Cristian Danescu-Niculescu-Mizil, with additional annotations, and derived outcomes related to collaborations.

    Please see our detailed CFP! - https://sites.google.com/view/affcon2021/call-for-papers

    Shared Task details: https://sites.google.com/view/affcon2021/cl-aff-shared-task

     

    Important Dates:

    •             November  4, 2020: Abstract Submission (optional) , Submissions via EasyChair

    •             November 9, 2020 Full paper submission

    •             November 30, 2020: Notification of Acceptance/ Rejection

    •             December 18, 2020: AAAI-20 Early registration deadline

    •             December 20, 2020: Camera-ready Versions due

    •             February 8 or 9, 2021: Workshop at AAAI-21

    Shared Task Deadlines: Submissions are via EasyChair (prefix your submission title with "[CL-Aff Shared Task]")

    •             September 25, 2020 - Unlabeled dataset, instructions and label descriptions released

    •             October 10, 2020 - Training set released

    •             October 30, 2020 - Test set released

    •             November 4, 2020- Abstract submission with a short system description

    •             December 20, 2020 - System runs due & System reports (full papers) due and peer review process begins

    •             January 10, 2021- Camera-ready versions due after peer feedback

    •             February 8/9, 2021: All participants present at the e-Workshop at AAAI-21

    Co-chairs:

    Niyati Chhaya (Adobe Research, nchhaya@adobe.com), Kokil Jaidka (University of Pennsylvania, kokil.j@gmail.com ), Jennifer Healey (Adobe Research, jehealey@adobe.com), Lyle Ungar (University of Pennsylvania, ungar@cis.upenn.edu), Atanu R Sinha (Adobe Research, atr@adobe.com)