[AISWorld] CFP Reminder: ACM TiiS Special Issue on Data-Driven Personality Modeling for Intelligent Human-Computer Interaction

Michelle Zhou michelle.xue.zhou at gmail.com
Sat Feb 2 23:53:16 EST 2019


I apologize for the duplicated postings.
Note the deadline is in two weeks: *Feb. 15th, 2019.*

CALL FOR PAPERS

ACM Transactions on
Interactive Intelligent Systems

*Special issue on Data-Driven Personality Modeling for Intelligent
Human-Computer Interaction*

Guest Editors
Prof. Shimei Pan, University of Maryland, Baltimore County
Dr. Oliver Brdiczka, Adobe
Prof. Andrea Kleinsmith, University of Maryland, Baltimore County
Prof. Yangqiu Song, Hong Kong University of Science and Technology

------------------------------

*Background*

Recent advances in Artificial Intelligence (AI) have enabled new forms of
human-computer interaction characterized by greater adaptability and better
human-machine symbiosis. To facilitate the development of next generation
AI agents that can truly understand and collaborate with humans, it is
important that AI agents can understand and adapt to individual differences
or personality traits. Here we define the word *personality* broadly to
refer to the patterns of human thoughts, feelings, social adjustments,
and behaviors consistently exhibited over time that strongly influence
one's expectations, self-perceptions, values, and attitudes.

Given the complexity of human minds and the unpredictability of human
behavior, modeling personality is very challenging. In this special issue,
we will feature cutting-edge research employing data-driven approaches to
sift through large amounts of human behavioral evidence to uncover
personality traits computationally.

*Scope, Description, and More Information*

This special issue invites submissions featuring original research related
to designing and developing data-driven approaches to personality modeling.
A suitable submission must also demonstrate its relevance to TiiS, the
premier journal featuring interactive intelligent systems with two distinct
characteristics: *intelligence* and *interactivity*. In particular, a
suitable submission must exhibit or discuss how the resulting personality
models can be used to enhance human-computer interaction. Interdisciplinary
research is especially encouraged.

Specific areas of interest include, but are not limited to:

   - Modeling and predicting diverse personality traits, such as Big 5
   personality traits, cognitive characteristics, emotional signatures, trust,
   motivations, and needs, using one or more sources of user behavior data,
   including texts, images, sensors, social media, and conversations.
   - Modeling personality traits to predict real-world human behaviors,
   such as purchase decisions, learning behavior, eating habit, and substance
   abuse.
   - Modeling personality traits to predict online human behaviors such as
   re-tweeting, following, trolling and cyber-bullying from online user data.
   - Interpretability and explainability of derived personality and human
   behavior models.
   - Privacy-protecting personality modeling.

*Schedule*

   - Full paper submission deadline: Feb 15, 2019
   - First author notification: April 15, 2019
   - Revised paper due: May 31, 2019
   - Final author notification: July 31, 2019
   - Expected publication: Fall, 2019


Visit tiis.acm.org/authors.cfm
<https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-1d140x3183f7x031045&>
for author information and submission details. For further information,
please contact personality-modeling-editors at acm.org.

------------------------------
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