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Subject:
From:
Bruce Ferwerda <[log in to unmask]>
Reply To:
Bruce Ferwerda <[log in to unmask]>
Date:
Fri, 1 Nov 2019 12:26:29 +0000
Content-Type:
text/plain
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text/plain (81 lines)
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*Please forward to anyone who might be interested*
Apologies for cross-posting.
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In collaboration with the journal "Frontiers in Psychology", we are bringing researchers together to contribute to an open-access article collection on:

"Psychological Models for Personalized Human-Computer Interaction (HCI)"

Guest Editors:

  *   Dr. Bruce Ferwerda, Jönköping University, Jönköping, Sweden
  *   Dr. Marko Tkalcic, University of Primorska, Koper, Slovenia
  *   Dr. Li Chen, Hong Kong Baptist University, Hong Kong, China

The submission is ongoing with receiving the last manuscripts on 03 March 2020.

The behavior of users in the digital world, such as online shopping or social media activity, is increasingly supported by personalized systems like recommender systems and personalized learning. Early work on personalized systems was mainly data-driven, based on behavioral data, such as ratings, likes, and purchases. Although these systems are useful for both users and service providers, the main downside is the limited interpretability and explainability of the data. Such limitations in both interpretability and explainability translate in using data without understanding the root-cause of behaviors. Recent work has thus started to adopt a more theory-driven approach by including psychological theories and models to improve personalized systems. These systems take advantage of psychological theories/models to explain and predict behaviors of users, and allow for a deeper understanding of users' behavior, preferences, and needs, which in turn also lead to more generalizable results.

Moreover, digital behavior has also been used to infer user traits and characteristics. For example, social media activities have been used to predict personality traits and intelligence, whereas the field of affective computing has been active in devising methodologies for inferring emotional states from digital signals.

This Research Topic aims at collecting state-of-the-art research that supports personalized services with psychological theories/models. We encourage authors to submit original research articles, case studies, reviews, theoretical and critical perspectives, and viewpoint articles within the usage of psychological theories/models in personalized Human-Computer Interaction (HCI) on topics including, but not limited to:


  *   Psychological theories/models that explain online behavior, such as:
     *   Personality;
     *   Emotions;
     *   Cognitive biases and illusions;
     *   Learning styles;
     *   Emotional contagion (e.g., in group settings).


  *   Psychological theories/models to personalize digital interactions, such as in:
     *   User interfaces;
     *   Recommendations;
     *   Social robots and chatbots;
     *   E-learning.


  *   Prediction of psychological models drawing data from digital behavior information resources, such as:
     *   Social media;
     *   E-commerce;
     *   Physical activities;
     *   Online learning;
     *   Group scenarios (e.g., group recommender systems).

Visit the collection homepage for the full description of the project: https://www.frontiersin.org/research-topics/11465

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As a contributing author, you will benefit from:
   *  High visibility with a freely downloadable e-book
   *  Rigorous, transparent and fast peer review
   *  Advanced impact metrics
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Would you like to participate as a contributing author?
https://www.frontiersin.org/research-topics/11465

Tell me more:
   * Read about the article collection https://www.frontiersin.org/research-topics/11465
   * Contact the Frontiers editorial office [log in to unmask]

Publishing solutions:

  *   Manuscripts will be peer reviewed, and if accepted for publication, are subject to publishing fees(https://www.frontiersin.org/about/publishing-fees ), which vary depending on the article type. A discount or waiver can be applied for(https://frontiers.qualtrics.com/jfe/form/SV_51IljifwFBXUzY1) and all applications are considered.
  *   We collaborate with many leading universities making the Open Access publishing process even more accessible for authors. Click (https://www.frontiersin.org/about/institutional-membership ) to see whether your institution is collaborating with us.

 I look forward to your submission.
 Best Regards,
 Your Frontiers in Psychology team


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