PRL: Pattern Recognition-driven User Experiences (PRUE) Call for Papers

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

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

    * 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.

Submission period: January 10, 2021 - February 10, 2021
Final Manuscript due: 1st April 2021
Tentative publication date: End of 2021



Andrea F. Abate, University of Salerno, Italy (

Giovanni Motta, Google Inc, Mountain View (CA), US (