[iva] [CFP] Research Topic on Multimodal Social Signal Processing and Application, Frontiers in Computer Science and Frontiers in Psychology

[Hung-Hsuan Huang]

Call for Papers
(Apologize for multiple postings)

Research Topic on Multimodal Social Signal Processing and Application,
Frontiers in Computer Science and Frontiers in Psychology
Editors: Ryo Ishii (NTT), Hung-Hsuan Huang (Fukuchiyama U.), Shogo Okada
(JAIST), Kristiina Jokinen (AIST), Oya Aran (De La Salle U.)

https://www.frontiersin.org/research-topics/18841/multimodal-social-signal-processing-and-application

Submission Deadlines:
Abstract: May 09, 2021
Manuscript: July 23, 2021

About this Research Topic
Social Signal is observed as the joint information revealed from the
signals of multimodal channels such as language, voice, gaze, posture,
gestures, and biological information. Social Signal Processing is conducted
in constructing computational models to sense and understand human social
signals including emotion, attitude, personality, skill, role, and other
forms of communication between humans. It is a technology for understanding
and modeling the social aspects of human beings through their
communicational activities. Social signal processing is available to
develop new technologies for human-human and human-computer interactions
(i.e. the interaction between humans and computers, virtual agents, robots
and other artifacts). In recent years, much attention has been gathered on
such multimodal social signal processing technologies and their
applications.

To further improve these studies, in addition to the fields in the computer
science discipline such as AI, NLP, signal processing, ML, and HCI, other
disciplines like linguistics, psychology, and sociology play important
roles in providing the theoretical backgrounds of human communication. In
other words, this is an exciting research area that has the potential to
encourage collaborations between researchers in a wide variety of
disciplines and to conduct new interdisciplinary ideas.

We welcome submissions from all research fields related to multimodal
social signal processing and its applications. For example, topics like
theoretical foundations, empirical verifications, analysis as well as
component technologies, integrations, interface designs, and system
developments. Submissions from behavioral science and other social sciences
are also welcomed. They are expected to broaden computer scientists’ view
and prevent potential over-focused motivation in pursuing the novelty of
techniques and algorithms.

Keywords: social signal processing, multimodal interaction, multimodal
signal processing, multimodal machine learning

Important Note: All contributions to this Research Topic must be within the
scope of the section and journal to which they are submitted, as defined in
their mission statements. Frontiers reserves the right to guide an
out-of-scope manuscript to a more suitable section or journal at any stage
of peer review.



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Hung-Hsuan Huang (黄 宏軒) Ph.D.
Professor,
Faculty of Informatics,
The University of Fukuchiyama,
Azahori 3370, Fukuchiyama City, Kyoto 620-0886, Japan
Tel: +81-773-24-7110
E-mail: hhhuang at acm.org
Homepage: http://iislab-fukuchiyama-u.jpn.org/
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