CFP: Workshop on Human-Centered Artificial Intelligence for Affective Computing
(Affective HCAI)
Organized as part of the 2026 IEEE International Conference on Affective Computing and Intelligent Interaction (ACII)
7-page archival paper submission deadline extended to June 20th
1-2 page unpublished position paper submission deadline on July 1st
The Human-Centered Artificial Intelligence for Affective Computing (Affective HCAI) workshop explores the intersection of affective computing and human-centered AI, with a focus on designing systems that support, rather than replace, human cognition and decision-making. As affective computing technologies increasingly rely on sensitive personal data and influence human perception and behavior, they raise critical challenges related to privacy, fairness, cultural bias, and ethical responsibility.
This workshop brings together researchers across affective computing, human-AI interaction, and social computing to examine the socio-technical foundations of responsible Affective HCAI systems. Topics include privacy-preserving design, bias and cultural responsiveness, participatory and community-centered approaches, and methods for evaluating system impact across diverse populations. The workshop focuses on understanding the conditions under which Affective HCAI systems are perceived as supportive versus surveillant, as well as establishing principled approaches to data collection, retention, and ownership of affective and cognitive data. It also examines the risks associated with deploying these systems across cultural contexts for which they were not originally designed, and highlights the role of participatory and community-centered co-design in surfacing hidden biases and incorporating diverse cultural norms into system development.
Advancing ethical Affective HCAI requires participatory approaches that center the needs, rights, and lived experiences of diverse stakeholders. This workshop is particularly interested in approaches for designing systems that preserve meaningful human agency and autonomy when providing affect- or cognition-based support. It further seeks to examine the ethical boundaries of continuously sensing and interpreting internal human states, as well as methods for identifying and mitigating unintended influences of AI on users’ cognitive and affective processes. Additionally, the workshop highlights the responsibilities of designers in anticipating, evaluating, and mitigating potential harms, especially in contexts involving vulnerable or historically marginalized populations.
The Affective HCAI workshop will also explore how to design systems that support appropriate reliance, maintain human agency, and provide transparent, contestable explanations. By integrating technical advances with ethical and human-centered design principles, the workshop aims to advance Affective HCAI systems that are equitable, culturally grounded, and aligned with human values.
We invite contributions and discussions around (but not limited to) the following themes:
During the workshop, we hope to collaboratively identify and co-design key principles for Responsible Innovation in Affective HCAI, with the long-term goal of synthesizing these discussions into a community-driven publication.
Submission Guidelines & Important Dates
We invite submissions in the two following formats:
Contributions may be theoretical, empirical, or design-oriented. All submissions will undergo a peer-review process by the PC members and the organizing committee.
Papers need to be submitted to EasyChair.
Organizing Committee
Theodora Chaspari, University of Colorado Boulder
Sidney D’Mello, University of Colorado Boulder
Brandon Booth, University of Memphis
Ekta Sood, University of Colorado Boulder
Shrivatsa Mishra, University of Colorado Boulder
Program Committee
Nadia Berthouze, University College London
Mariah Bradford, Colorado State University
Chelsea Chandler, University of Colorado Boulder
Tiantian Feng, University of Southern California
Peter Foltz, University of Colorado Boulder
Tanaya Guha, University of Glasgow
Leanne Hirshfield, University of Colorado Boulder
Sanjeev Nahulanthran, Monash University
Minna Nygren, University College London
James Tavernor, University of Michigan
Jacob Whitehill, Worcester Polytechnic Institute