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SSPW '10: Proceedings of the 2nd international workshop on Social signal processing
ACM2010 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
MM '10: ACM Multimedia Conference Firenze Italy 29 October 2010
ISBN:
978-1-4503-0174-9
Published:
29 October 2010
Sponsors:
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Abstract

It is our great pleasure to welcome you to the 2nd International Workshop on Social Signal Processing. The call for papers attracted 21 submissions of very high quality and the program committee accepted 11 papers that cover a variety of topics, including automatic understanding and analysis of nonverbal behavior in social interactions, conceptual modeling of social signals and social behavior, and synthesis of nonverbal behavioral cues. The program includes not only the presentation of the accepted works, but also four prestigious keynote speakers (Justine Cassell, Jeff Cohn, Toyoaki Nishida and Alex Pentland) and a panel discussion as well. We are confident that the proceedings, presentations and discussions will offer an exhaustive idea of the state-ofthe- art in Social Signal Processing.

Like in the first edition of the workshop, we are happy to gather researchers active in a wide variety of domains, from low-level signal processing to cognitive sciences and behavior synthesis. Social Signal Processing is an inherently multidisciplinary domain and progress can emerge only from the cross-pollination between multiple areas. We hope that the workshop will offer ideal conditions for a fruitful and effective exchange between these diverse domains.

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SESSION: Keynote addresses
keynote
Social signal processing in depression

As social signal processing develops as a field of enquiry and application, there is emerging focus on individual differences in social signaling. My colleagues and I have been particularly interested in social signal processing in depression. ...

keynote
Kith and kin: how social networks make us smart

My research shows that the attitudes and actions of peers, rather than logic or argument, usually dominates people's beliefs and actions. The mechanism appears to be based on learning by example from kithmates (a set of peers relevant to the problem at ...

SESSION: Oral session
research-article
Differences in listener responses between procedural and narrative task

In the long tradition of corpus based research on listener behavior, whether it entails linguistic analysis or social signal processing, many different tasks have been used during the recording of the corpus. So far in no study the task which has been ...

research-article
Discriminative space-time voting for joint recognition and localization of actions.

In this paper we address the problem of activity detection in unsegmented image sequences. Our main contribution is the use of an implicit representation of the spatiotemporal shape of the activity which relies on the spatiotemporal localization of ...

research-article
The voice of personality: mapping nonverbal vocal behavior into trait attributions

This paper reports preliminary experiments on automatic attribution of personality traits based on nonverbal vocal behavioral cues. In particular, the work shows how prosodic features can be used to predict, with an accuracy up to 75% depending on the ...

research-article
Cognitive modelling of human social signals

The paper defines as "social signal" a communicative or informative signal that, either directly or indirectly, conveys information about social actions, social interactions, social emotions, social attitudes and social relationships. It proposes a ...

SESSION: Keynote Address
keynote
From observation to interaction

Conversation is a natural and powerful means of communication for people to collaboratively create and share information. People are very fluent both in aligning their behavior with each other and in coordinating multiple modalities to create meaning. A ...

SESSION: Poster session
research-article
Improving speech processing trough social signals: automatic speaker segmentation of political debates using role based turn-taking patterns

Several recent works on social signals have addressed the problem of statistical modeling of social interaction in multi-party discussions showing that characteristics like turn-taking patterns can be modeled and predicted according to the role that ...

research-article
The organisation of floor in meetings and the relation with speaker addressee patterns

We present a procedure for conversational floor annotation and discuss floor types and floor switches in face-to-face meetings and the relation with addressing behavior. It seems that for understanding interactions in meetings an agent needs a layered ...

research-article
Causal-modelling of personality traits: extraversion and locus of control

This work contributes to the task of automatically analyzing people's personality during social interaction by using acoustic and visual features. We focus on two personality traits: Extraversion, one of the Big Five dimensions, and the Locus of Control ...

research-article
Multimodal coordination: exploring relevant features and measures

The decisive role of interpersonal coordination in social interactions is well established. As human beings, we are "experts" in decoding and producing social signals, learning since our birth. Though, equipping a machine with the same abilities ...

research-article
Postural expressions of action tendencies

One of the challenges of virtual character research is the specification of reliable and discriminative features of complex emotions in multiple modalities. Whereas expressions of different emotion categories in facial expressions, gaze, and gestures ...

research-article
Implicit image tagging via facial information

Implicit Tagging is the technique to annotate multimedia data based on user's spontaneous nonverbal reactions. In this paper, a study is conducted to test whether user's facial expression can be used to predict the correctness of tags of images. The ...

research-article
Towards a smiling ECA: studies on mimicry, timing and types of smiles

Smile is one of the most often used nonverbal signals. Depending on when, how and where it is displayed, it may convey various meanings. We believe that introducing the variety of smiles may improve the communicative skills of embodied conversational ...

SESSION: Keynote address
keynote
Regulative or constitutive behaviors: culture and identity in human interaction

The term 'social signal' implies that one person emits a signal that another picks up, and that the signal regulates some sort of socially appropriate behavior. Taking examples from my recent research on culture and identity both in human-human and ...

Contributors
  • University of Glasgow
  • Imperial College London
  • Massachusetts Institute of Technology
  1. Proceedings of the 2nd international workshop on Social signal processing

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