Towards a Technology of Nonverbal Communication

Nonverbal communication is the main channel through which we experience inner life of others, including their emotions, feelings, moods, social attitudes, etc. This attracts the interest of the computing community because nonverbal communication is based on cues like facial expressions, vocalizations, gestures, postures, etc. that we can perceive with our senses and can be (and often are) detected, analyzed and synthesized with automatic approaches. In other words, nonverbal communication can be used as a viable interface between computers and some of the most important aspects of human psychology such as emotions and social attitudes. As a result, a new computing domain seems to emerge that we can define “technology of nonverbal communication”. This chapter outlines some of the most salient aspects of such a potentially new domain and outlines some of its most important perspectives for the future

Chatterbox challenge as a test-bed for synthetic emotions

Chatterbox Challenge is an annual web-based contest for artificial conversational systems, ACE. The 2010 instantiation was the tenth consecutive contest held between March and June in the 60th year following the publication of Alan Turing’s influential disquisition ‘computing machinery and intelligence’. Loosely based on Turing’s viva voca interrogator-hidden witness imitation game, a thought experiment to ascertain a machine’s capacity to respond satisfactorily to unrestricted questions, the contest provides a platform for technology comparison and evaluation. This paper provides an insight into emotion content in the entries since the 2005 Chatterbox Challenge. The authors find that synthetic textual systems, none of which are backed by academic or industry funding, are, on the whole and more than half a century since Weizenbaum’s natural language understanding experiment, little further than Eliza in terms of expressing emotion in dialogue. This may be a failure on the part of the academic AI community for ignoring the Turing test as an engineering challenge

Computers can feel too: Intelligent emotional agents in e-learning systems

The introduction of emotional reactions to e-Learning environments might offer a more efficient and effective communication between the user and the machine; a more natural and realistic computer interface. Embodied Intelligent Emotional Agents (IEAs) which are highly expressive and show empathy for the users may help learners overcome academic difficulties and may contribute positively to the pedagogical procedure by making it more efficient and enjoyable. IEAs can be programmed to "show" the correct social behaviour and through them a channel of communication might open to serve for better interaction among learners. This could contribute to increase student's self esteem, help them recover from negative emotions as well as encourage learners to overcome academic problems. In this chapter the authors review existing systems that use emotional agents and analyze their specific characteristics, their advantages and disadvantages. Finally, based on this analysis they enumerate specific requirements for efficient communication between agents and users and we use them to propose a general architecture model upon which the development of future IEAs could be based. © 2011, IGI Global