Call for paper

Artificial Intelligence (AI) and Psychology are deeply interconnected and have been influencing each other’s development. On the one hand, creating artificial beings that can truly think and behave like humans requires the understanding of human psychology and the use of such understanding to develop better AI agents. On the other hand, given the complexity of human minds and their manifestation of behavioral flexibility, it requires state-of-the-art AI technologies such as Machine Learning (ML) and Data Mining (DM) to analyze huge amounts of human behavioral evidence and model the complexity of human minds to better understand and predict human behavior.

Driven by the complementary nature of applying AI and Machine Learning (ML) techniques to achieve a better understanding of human psychology and building intelligent AI agents that can truly understand and collaborate with humans, our workshop aims at covering two highly related research themes:

  1. developing novel AI/ML techniques to model, analyze and predict the psychological characteristics and behavior of humans (e.g., trust, empathy, self-regulation, stress, emotion, attitude, morality, personality and decision-making) from large, rich and diverse data sources (e.g., social media, sensors, text and conversation).
  2. developing realistic AI agents enhanced with psychological insights (e.g., empathetic, trustworthy, responsible and adaptive) to facilitate better human-computer interaction and collaboration.

We welcome paper submissions that can

  1. Identify key research areas and challenges in modeling, analyzing and predicting psychological characteristics and behaviors of humans from large, complex and diverse data sets.
  2. Identify key research areas and challenges in designing and developing AI agents enhanced with psychological insights to facilitate human computer interaction and collaboration.

Interdisciplinary research is especially encouraged. We also encourage papers that discuss the ethics of potential real-world uses of such AI agents and their impact on the society at large. Specific areas of interest include, but are not limited to:

  1. Computational models for assessing individual characteristics such as emotions, trust, deception, motivation, values, attitude, morality, fairness, self-regulation, personality and grit) from diverse data sources such as text, sensors, social media and conversations.
  2. Computational models for predicting real-world human behaviors such as purchase behavior, learning behavior, eating habit, exercise and substance use.
  3. Computational models for predicting online behaviors such as retweeting behavior, following behavior, posting behavior, trolling and cyberbullying.
  4. Theories, designs, algorithms and implementations of AI agents (e.g., conversational agents) that are affective, trustworthy, adaptive and realistic.
  5. Affective AI agent and its application in education and health care.
  6. Virtual AI Agents as companions for elderly or adults with cognitive impairment.
  7. Virtual AI Agents that diagnose and treat mental illness.
  8. Trustworthy AI agents and their application in human-computer collaboration.
  9. Effects of psychology on human-machine interactions.
  10. Privacy issues, transparency, user control and ethic considerations in conducting research in this area.

We accept extended abstracts or position papers up to 2 pages (excluding citations). Please follow the same formatting guidelines specified by the IJCAI/ECAI conference: (http://www.ijcai.org/authors_kit). Proceedings consisting of accepted papers will be published on the workshop website. A subset of the authors will be invited to submit an extended version of their papers to a special journal issue of the ACM Transactions on Interactive Intelligent Systems (TIIS). Please submit your paper in a PDF format to https://easychair.org/conferences/?conf=comppsy18.

IMPORTANT DATES:
Paper due: May 23, 2018
Acceptance Notification: May 30, 2018
Workshop date: July 14, 2018

ORGANIZERS:
Oliver Brdiczka (Adobe)
Shimei Pan (University of Maryland, Baltimore County)
David Stillwell (Cambridge University)
Michelle Zhou (Juji.io)

OTHER CO-LOCATED EVENTS

  1. International Joint Conference on Artificial Intelligence (IJCAI) and European Conference on Artificial Intelligence (ECAI): https://www.ijcai-18.org/
  2. International Conference on Machine Learning (ICML): https://icml.cc/
  3. International Conference on Autonomous Agents and Multiagent Systems (AAMAS): http://celweb.vuse.vanderbilt.edu/aamas18/