-------- Forwarded Message -------- Subject: [AISWorld] CFP Reminder: ACM TiiS Special Issue on Data-Driven Personality Modeling for Intelligent Human-Computer Interaction Date: Sat, 2 Feb 2019 20:53:16 -0800 From: Michelle Zhou michelle.xue.zhou@gmail.com To: announce@iui.acm.org, chi-announcements@acm.org, sigai-announce@listserv.acm.org, aisworld@lists.aisnet.org

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

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*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@acm.org.

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