Bibliographie
The 2nd International Workshop on Advancements in
Social Signal Processing for Multimodal Interaction (ASSP4MI@ICMI2016)
16 Nov 2016, Tokyo, Japan
held in conjunction with the 18th ACM International Conference on
Multimodal Interaction
http://hmi.ewi.utwente.nl/ truongkp/icmi2016-assp4mi
http://icmi.acm.org/2016/
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Overview
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In the last decade, an increasing need for affective and socially
intelligent technology has been seen, partly caused by upcoming
interactive technology that is enhancing our daily lives in our homes
and at work. This has led to a significant increase of research in
Social Signal Processing (SSP) in which the aims are to model, analyse,
and synthesize social signals (including affective signals) and to
develop socially intelligent machines. This body of work is inherently
multimodal (e.g., eye gaze, touch, vocal, and facial expressions) and
multidisciplinary (e.g., psychology, linguistics, computer
science). Major research foci include the automatic understanding and
generation of emotional and social behavior in specific
situations. Applications are plentiful : the development of social
robots, intelligent virtual agents, and smart environments are some of
the application areas that will benefit from SSP research.
SSP research involves studying human-human interactions, as well as
human-machine interactions. Large corpora consisting of spontaneous
human-human interactions offer SSP researchers the opportunity to
analyse and understand multimodal human behaviors, and to develop
detectors and data mining algorithms. Mining large amounts of
human-human interaction data can unravel relations between modalities
that were initially hidden from the naked eye. Human-machine
interactions on the other hand can be studied in order to understand how
the socially intelligent technology developed affects how humans
interact with machines.
Although many SSP-related applications already exist, the puzzle is far
from solved. Major challenges include robustness of the applications and
algorithms, the role of situational and user context in SSP, data
collection and annotation, and unknown relations among multiple
modalities. SSP is a continuously developing and lively
multidisciplinary research domain, bringing along new challenges,
methods, application areas and emerging fields of research.
TOPICS
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We invite contributions, both research and position papers, addressing
recent developments, challenges, and research results in SSP. Papers may
relate to the following topics (please note that the list of topics is
not exhaustive) :
* Data and annotation in SSP : novel corpora and annotation schemes,
elicitation and data collection techniques, annotation issues, ethical
issues in data collection
* Methodology for SSP : improvements in recognition techniques, features,
generation methods, evaluation methods, standardization
* Modalities in SSP : how to fuse information from multiple behavior
sources, how are they related to each other, novel modalities ?
Examples of information sources : eye gaze, voice, face, tactile
information, physiological measures, accelerometer data
* Multidisciplinarity in SSP : approaching SSP-related tasks from other
disciplines such as psychology, linguistics, computer science etc. by
using methods such as conversational analysis, phonetic analysis and
others.
* Application areas (including ’special’ target user groups) in SSP and
designing for SSP : social robots, intelligent virtual agents, smart
environments, wearable technology, mobile phones, healthcare, physical
and mental wellbeing, assistive technology, multimedia retrieval,
designing for children and elderly, what is the killer application ?
IMPORTANT DATES
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Paper submission : 28 Aug 2016
Paper notification : 28 Sep 2016
Camera-ready : 5 Oct 2016
Workshop : 16 Nov 2016
SUBMISSION INSTRUCTIONS
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Interested researchers are invited to submit a paper in the same ACM
publication format as the main conference, see
http://www.acm.org/sigs/publications/pubform.doc (Word) and
http://www.acm.org/sigs/publications/proceedings-templates#aL2
(LaTeX). Papers may be from 4 to 8 pages long including
references. Submissions (pdf) must be sent to
assp4mi2016@gmail.com<mailto:assp4mi2016@gmail.com>. The workshop
proceedings will be included in the USB, and will be published on the
ACM digital library after the conference
ORGANIZERS
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Khiet Truong, University of Twente, the Netherlands
Dirk Heylen, University of Twente, the Netherlands
Toyoaki Nishida, Kyoto University, Japan
Mohamed Chetouani, University Pierre and Marie-Curie, France
CONTACT
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k dot p dot truong at utwente dot nl