PATTERN RECOGNITION LETTERS SPECIAL ISSUE: Pattern Recognition-driven User Experiences (PRUE)

Games, search engines, e-commerce, infotainment, and many other services allow users a high degree of personalization; this evolution creates new needs, changes habits, and raises expectations. At the same time, the availability of new instruments is noticeably changing the kind of experience the users expect. The strong immersivity and high degree of realism of VR, MR, and AR are freeing the UX from the classic screen borders, with voice and gestures adding naturalness to the experience and keeping high the sense of users’ involvement and immersion.

IoT ecosystems, smartwatches, digital assistants, and other devices, are instruments that may provide precious hints about users and usage contexts, if supported by the application of Pattern Recognition theories and techniques.
Aiming at improving efficiency, intelligence, and delight perceived by users, Pattern Recognition-driven User Experience leverages intelligent computing to dynamically adapt appearance and behaviour with automatic decision-making. Pattern Recognition offers the instruments to detect and “understand” context, user’s signals, intents, emotions, and  provides a set of disruptive methodologies for an effective personalization of the experience.

The purpose of this Special Issue is to investigate how concepts and theories related to Pattern Recognition can be applied to improve or create a fully novel User Experience, new opportunities, and open problems. The Special Issue aims at collecting and presenting new advances in the application of Pattern Recognition to (but not limited):

    • Emotion recognition and adaptive applications;
    • Speech recognition;
    • Pattern recognition for virtual, augmented and mixed reality;
    • Applications to mobile and embedded systems;
    • Natural language applications;
    • Design and evaluation of innovative interactive system;
    • Ambient intelligence;
    • Personalization of user experience.
 
   
IMPORTANT DATES:

Submission period:   DEADLINE EXTENSION – February 28, 2021
Final Manuscript due: 1st April 2021
Tentative publication date: End of 2021

SUBMISSION AND CFP HERE: https://www.journals.elsevier.com/pattern-recognition-letters/call-for-papers/pattern-recognition-driven-user-experiences

SPECIAL ISSUE EDITORS:

Andrea F. Abate, University of Salerno, Italy (abate@unisa.it)

Giovanni Motta, Google Inc, Mountain View (CA), US (giovannimotta@google.com)