NEWS:

• This workshop has concluded. See you in Canada in 2021 :)

• Feb 2020:
  • Camera Ready papers: https://bit.ly/2uhfSYj
  • Schedule: schedule
  • Onsite Registration Available ! Please register here before proceeding to the onsite registration desk at the conference venue. Registration available at the venue (2nd Floor Promenade) from February 7, 2020 7:30am.
• The workshop is on Feb 7, 2020. A schedule and the list of accepted papers is now up!
• Jan 10 2020: Online registration is now closed.
• Nov 2019: AAAI Registration is now open (includes a workshop-only registration option). Go to https://aaai.org/Conferences/AAAI-20/registration/
• Abstract submission deadline for main submissions + CL-Aff Shared Task systems extended to Nov 15, 2019 **Anywhere On Earth** \_(^_^)_/
• Nov 2019: more confirmed keynote speakers: Robert Kraut (Carnegie Mellon University), Thomas Novak and Donna Hoffman (George Washington University)!
• Oct 2019: Are you looking for the submission link? Here, try this: EasyChair
• Oct 2019: CL-Aff Shared Task test set released! Abstract submission deadline extended!
• Oct 2019: Special invited talk by Natasha Jacques (MIT)
• Sep 2019: Louis-Philippe Morency (Carnegie Mellon University) and Daniel McDuff (Microsoft) will be our keynote speakers -- stay tuned for other announcements.
• Aug 2019: AffCon2020 is accepted at AAAI - 2020! See you in New York!

About the Workshop

Affect analysis refers to the set of techniques which identify and measure the ‘experience of an emotion’. This interdisciplinary workshop focuses on analyzing affect in content including text, audio, images, and videos. The word ‘affective’ is used to refer to emotion, sentiment, personality, mood, and attitudes including subjective evaluations, opinions, and speculations. All methods and models that measure affective responses to content are in the scope of the workshop. We encourage interdisciplinary participation and cross-disciplinary approaches from computational linguistics (CL), consumer psychology, human-computer interaction (HCI), marketing science and cognitive science, among others.

The theme this year, `Affect in Response', the study of affect in response to interactive content that may evolve over time. Most analysis in affective content has focused on the study of static data such as reviews or other content that was generated in the past. Our goal is to focus on affective content in interactions including: dialogues, chatbots, avatars interactions, and multi-modal interfaces. We invite research that explores how to make affective content in evolving interactions more dynamic and responsive.

Once again we're announcing a Shared Task to encourage the development of new models and approaches for affect in interactions.

The subjective nature of human affect suggests the need to measure in ways that recognize multiple interpretations of human responses. A few key challenges are:

• Standardizing the measurement of affect in order to meaningfully compare different affective models against each other
• Addressing the challenges in cross-media, cross-domain and cross-platform affect analysis
• Identifying consumer psychology theories and behaviors related to affect, which are amenable to computational modeling

The AI community is well-poised to propose new solutions, approaches and frameworks to tackle these and other challenges. This workshop invites papers that address these and other topics, propose novel solutions for well-established problems, offer modeling and measurement of affect, and identify the best affect–related dimensions to study consumer behavior. Potential examples include deep learning for affect analysis, leveraging traditional affective computing algorithms (that are built on multi–modal data and sensors) for text and so on.

Another area of focus for this workshop is the need of standardized baselines, datasets, and evaluation metrics. Papers describing novel language resources, evaluation metrics and standards for affect analysis and understanding are also encouraged.