VDNC 2013 - International Workshop on Vision(s) on Deception and Non-cooperation

Natural behavior includes deceptive and non-cooperative behavior. There are many applications where detection and generation of such behavior is useful. In particular when we have smart environments inhabited by tangibles, social robots and virtual humans. Some domains for research on detecting and generating deceptive and non-cooperative nonverbal behavior are the following:
Understanding and processing face-to-face communication and multi-party conversations between humans or between humans and artificial conversational partners.
Understanding human behavior in natural (sensor-equipped) physical environments where different people have different, maybe contrasting, goals they want to achieve.
Educational and training environments that aim at behavioral changes, for example, in health and life style, or for training social interaction skills or the detection of deceptive behavior.
Play, games and sports. To read the opponent, make a faint, to divert attention, and to disguise intentions are essential issues in sports.
Our assumption is that all these domains will receive growing attention from the computer vision and multimodal interaction research community in the next years.
Deception is natural and sometimes obligatory in these domains. Deception is also about hiding the truth. Communication strategies aimed at the latter purpose are typically based on non-cooperative behaviour, i.e. more or less explicit attempts to prevent others from achieving their goals in communication. Non-cooperative behaviors include vague and elusive answers, non-relevant comments, misleading statements and any other violation of the Grice's cooperative principle, i.e. the tendency to share and adopt other's intentions during communication.
Questions arise about nonverbal correlates of this type of deceptive behaviour. Does the violation of the Grice's principle above lead to peculiar, possibly machine detectable nonverbal cues? Does it lead to discrepancy between verbal and nonverbal behaviour? Answering these questions will help not only to better understand deception, but, more in general, human-human interactions.
Focus
This workshop is about detection and generation of deceptive and non-cooperative behavior. The focus is on detection, and using computer vision is the starting point. But it is well known that there are no uni-modal cues from which deception can be established reliably. For that reason there is particular interest in computer vision integrated in a multimodal approach. That is, approaches where there is also access to information obtained from (neuro-) physiological sensors, nonverbal speech and linguistic information, and - one step further - approaches that include reasoning that uses available domain and context knowledge. Due to the complexity of the field we are also interested in model-based attempts to generate deceptive and non-cooperative behavior.
Topics of Interest:
Suggested workshop topics include, but are by no means limited to:
Detecting non-verbal cues that indicate deceptive behavior
Multi-modal approaches to deceptive behavior detection
Norms of verbal and, in particular, nonverbal interaction
Facial deception in humans, virtual humans and social robots
Corpus collection of deceptive behavior
Corpora and evaluation protocols for deception research
Human performance versus computer performance
Applications in interactive entertainment, games and sports
Non-cooperative and abusive interactions
Theories of deception
Designing believable deceptive agents
Social and ethical issues of deception detection and generation