ACM SIGCHI General Interest Announcements (Mailing List)


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Mariacarla Staffa <[log in to unmask]>
Reply To:
Mariacarla Staffa <[log in to unmask]>
Mon, 14 Sep 2020 11:25:42 +0200
text/plain (161 lines)
*UMUAI Special issue on Personalization and Adaptation in Human-Robot
Interactive Communication*

The Journal of Personalization Research. User Modeling and User-Adapted

*** Apologies for cross-postings**

In order to make Human-Robot interactive communication socially acceptable,
legible, and natural from the user’s point of view, it is of paramount
importance to endow a robot with the ability to model the users’
preferences, needs, and motivations. Creating robotic systems capable of
correctly recognizing, and consequently, modelling the human behavior
and preferences is a very critical and challenging task, especially in the
domain of assistive and social robotics and when working with vulnerable
user populations. A robot should be able to cope with local uncertainties
of the environment, variations of the human desires and motivations, and
volatilities of the interaction itself. The embodiment condition of a robot
requires the abilities to extract such relevant information from the
interaction history but also from the indirect observation of the user.
Thus, a user modeling component should cope with these challenging and
evolving requirements. With respect to software agents, the embodiment
condition requires also to consider the physical characteristics of
the interaction, such as the user preferences regarding robot’s physical
movements in the space (e.g., proxemics, speed, and trajectories).

A personalized and adaptive interaction, differently from pure reactive
strategies, strongly relies on the learning of such computational model of
human behavior and on the integration of these into the decision-making
algorithms of the robot. This includes also the possibility of endowing the
robot with meta-cognition capabilities such as the capability of reasoning
on the other individuals’ intentions, desires, and beliefs, as well as
their internal states, personality, and emotions (often referred to as
Theory of Mind - ToM). The ability of a robot to adapt its behavior
according to social expectations, specific cultural norms, and possible
individual preferences, will determine the success and large-scale use
of such robotics application.

This Special Issue aims at examining and promoting recent developments in
the Personalized and Adaptive interactive communication in robotics, so
providing to the UMUAI journal with a different perspective related to the
specific characteristics of the interaction with a physical robot. The
submitted papers will undergo peer review process before they can be
accepted. Notification of acceptance will be communicated as we progress
with the review process.


• Context and situation awareness for robots

• User modelling for HRI

• User cognitive state assessment and monitoring

• Activity, intention, and emotion recognition

• Engagement evaluation and re-engagement strategies

• Adaptation in physical interaction

• Personalized dialogue with robots

• Socially Aware Navigation

• Adaptive Task Planning

• Cognitive Architectures and Theory of Mind for adaptive interaction

• Reinforcement learning for robotic adaptation

• Adaptation in multimodal interaction

• Non-verbal social signals in adaptation

• Affective and emotion-adapted HRI

• Personalized Social Assistive Robotics

• Performance evaluation for adaptive robotic behavior

Authors must submit an extended abstract via EasyChair by the deadline
indicated below. It must be at most 3 pages long, not counting references,
and formatted according to the journal template. The guest editors of the
special issue will then screen all submitted extended abstracts and will
invite authors of submissions that pass this screening to submit a full
manuscript to be submitted via the journal’s submission system.

UMUAI formatting guidelines are available here:

The abstract submission needs to be done through EasyChair at:

After abstracts have been accepted, the final full submission needs to be
done through the UMUAI journal submission system:

Extended abstract deadline – November 1st, 2020

Deadline for abstract review - November 15th, 2020

Full Paper Submission – January 15th, 2021
First review notification – March 15th, 2021

Deadline for revised manuscript– June 15th, 2021

Final notice of acceptance/rejection – July 15th, 2021

Camera-ready Deadline – September 15th, 2021

Publication – October, 2021

Silvia Rossi – University of Naples Federico II (Italy),
[log in to unmask]
Mariacarla Staffa – University of Naples Federico II (Italy),
[log in to unmask]

Maartje De Graaf – Utrecht University (Netherlands), [log in to unmask]
Cristina Gena - University of Turin (Italy), [log in to unmask]


Mariacarla Staffa, PhD

Assistant Professor

Department of Physics E. Pancini - University of Naples Federico II

Complesso Universitario di Monte Sant'Angelo.

Via Cinthia, 21 - 80126 - Napoli, Italy

Edificio 6 - Stanza 1G18

office number:  +39 081 676263 - Lab number: +39 081 676184



    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see