<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"> <head> <meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1"> <meta name="Generator" content="Microsoft Word 15 (filtered medium)"> <style></style> </head> <body lang="EN-US" link="#0563C1" vlink="#954F72"> <div class="WordSection1"> ------------------------------------------------------------------------<o:p></o:p> *Please forward to anyone who might be interested*<o:p></o:p> Apologies for cross-posting.<o:p></o:p> ------------------------------------------------------------------------<o:p></o:p> In collaboration with the journal "Frontiers in Psychology", we are bringing researchers together to contribute to an open-access article collection on:<o:p></o:p> <o:p> </o:p> "Psychological Models for Personalized Human-Computer Interaction (HCI)"<o:p></o:p> <o:p> </o:p> Guest Editors:<o:p></o:p> <ul style="margin-top:0in" type="disc"> <li class="MsoNormal" style="color:black;mso-list:l0 level1 lfo1;vertical-align:baseline"> Dr. Bruce Ferwerda, J�nk�ping University, J�nk�ping, Sweden<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l0 level1 lfo1;vertical-align:baseline"> Dr. Marko Tkalcic, University of Primorska, Koper, Slovenia<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l0 level1 lfo1;vertical-align:baseline"> Dr. Li Chen, Hong Kong Baptist University, Hong Kong, China<o:p></o:p></li></ul> <o:p> </o:p> The submission is ongoing with receiving the last manuscripts on 03 March 2020.<o:p></o:p> <o:p> </o:p> 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.<o:p></o:p> <o:p> </o:p> 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.<o:p></o:p> <o:p> </o:p> 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:<o:p></o:p> <o:p> </o:p> <ul style="margin-top:0in" type="disc"> <li class="MsoNormal" style="color:black;mso-list:l3 level1 lfo2;vertical-align:baseline"> Psychological theories/models that explain online behavior, such as:<o:p></o:p></li><ul style="margin-top:0in" type="circle"> <li class="MsoNormal" style="color:black;mso-list:l3 level2 lfo2;vertical-align:baseline"> Personality;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level2 lfo2;vertical-align:baseline"> Emotions;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level2 lfo2;vertical-align:baseline"> Cognitive biases and illusions;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level2 lfo2;vertical-align:baseline"> Learning styles;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l3 level2 lfo2;vertical-align:baseline"> Emotional contagion (e.g., in group settings).<o:p></o:p></li></ul> </ul> <o:p> </o:p> <ul style="margin-top:0in" type="disc"> <li class="MsoNormal" style="color:black;mso-list:l1 level1 lfo3;vertical-align:baseline"> Psychological theories/models to personalize digital interactions, such as in:<o:p></o:p></li><ul style="margin-top:0in" type="circle"> <li class="MsoNormal" style="color:black;mso-list:l1 level2 lfo3;vertical-align:baseline"> User interfaces;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l1 level2 lfo3;vertical-align:baseline"> Recommendations;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l1 level2 lfo3;vertical-align:baseline"> Social robots and chatbots;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l1 level2 lfo3;vertical-align:baseline"> E-learning.<o:p></o:p></li></ul> </ul> <o:p> </o:p> <ul style="margin-top:0in" type="disc"> <li class="MsoNormal" style="color:black;mso-list:l2 level1 lfo4;vertical-align:baseline"> Prediction of psychological models drawing data from digital behavior information resources, such as:<o:p></o:p></li><ul style="margin-top:0in" type="circle"> <li class="MsoNormal" style="color:black;mso-list:l2 level2 lfo4;vertical-align:baseline"> Social media;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level2 lfo4;vertical-align:baseline"> E-commerce;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level2 lfo4;vertical-align:baseline"> Physical activities;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level2 lfo4;vertical-align:baseline"> Online learning;<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l2 level2 lfo4;vertical-align:baseline"> Group scenarios (e.g., group recommender systems).<o:p></o:p></li></ul> </ul> <o:p> </o:p> Visit the collection homepage for the full description of the project: <a href="https://www.frontiersin.org/research-topics/11465">https://www.frontiersin.org/research-topics/11465</a><o:p></o:p> <o:p> </o:p> ------------------------------------------------------------------------------------------------------<o:p></o:p> As a contributing author, you will benefit from:<o:p></o:p> • High visibility with a freely downloadable e-book<o:p></o:p> • Rigorous, transparent and fast peer review<o:p></o:p> • Advanced impact metrics<o:p></o:p> -------------------------------------------------------------------------------------------------------<o:p></o:p> <o:p> </o:p> Would you like to participate as a contributing author?<o:p></o:p> <a href="https://www.frontiersin.org/research-topics/11465">https://www.frontiersin.org/research-topics/11465</a><o:p></o:p> <o:p> </o:p> Tell me more:<o:p></o:p> • Read about the article collection <a href="https://www.frontiersin.org/research-topics/11465">https://www.frontiersin.org/research-topics/11465</a><o:p></o:p> • Contact the Frontiers editorial office <a href="mailto:psychology@frontiersin.org">psychology@frontiersin.org</a><o:p></o:p> <o:p> </o:p> Publishing solutions:<o:p></o:p> <ul style="margin-top:0in" type="disc"> <li class="MsoNormal" style="color:black;mso-list:l4 level1 lfo5;vertical-align:baseline"> Manuscripts will be peer reviewed, and if accepted for publication, are subject to publishing fees(<a href="https://www.frontiersin.org/about/publishing-fees">https://www.frontiersin.org/about/publishing-fees</a> ), which vary depending on the article type. A discount or waiver can be applied for(<a href="https://frontiers.qualtrics.com/jfe/form/SV_51IljifwFBXUzY1">https://frontiers.qualtrics.com/jfe/form/SV_51IljifwFBXUzY1</a>) and all applications are considered.<o:p></o:p></li><li class="MsoNormal" style="color:black;mso-list:l4 level1 lfo5;vertical-align:baseline"> We collaborate with many leading universities making the Open Access publishing process even more accessible for authors. Click (<a href="https://www.frontiersin.org/about/institutional-membership">https://www.frontiersin.org/about/institutional-membership</a> ) to see whether your institution is collaborating with us.<o:p></o:p></li></ul> <o:p> </o:p> I look forward to your submission.<o:p></o:p> Best Regards,<o:p></o:p> Your Frontiers in Psychology team<o:p></o:p> <o:p> </o:p> <o:p> </o:p> </div> </body> </html>