3 resultados para facial expressions

em Digital Peer Publishing


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Non-verbal communication (NVC) is considered to represent more than 90 percent of everyday communication. In virtual world, this important aspect of interaction between virtual humans (VH) is strongly neglected. This paper presents a user-test study to demonstrate the impact of automatically generated graphics-based NVC expression on the dialog quality: first, we wanted to compare impassive and emotion facial expression simulation for impact on the chatting. Second, we wanted to see whether people like chatting within a 3D graphical environment. Our model only proposes facial expressions and head movements induced from spontaneous chatting between VHs. Only subtle facial expressions are being used as nonverbal cues - i.e. related to the emotional model. Motion capture animations related to hand gestures, such as cleaning glasses, were randomly used to make the virtual human lively. After briefly introducing the technical architecture of the 3D-chatting system, we focus on two aspects of chatting through VHs. First, what is the influence of facial expressions that are induced from text dialog? For this purpose, we exploited an emotion engine extracting an emotional content from a text and depicting it into a virtual character developed previously [GAS11]. Second, as our goal was not addressing automatic generation of text, we compared the impact of nonverbal cues in conversation with a chatbot or with a human operator with a wizard of oz approach. Among main results, the within group study -involving 40 subjects- suggests that subtle facial expressions impact significantly not only on the quality of experience but also on dialog understanding.

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The future of Brazilian children who have the protection offered by familial bonds is threatened by social inequities that force them to seek shelter and grow up in shelters. According to the Institute of Applied Economic Research, an estimated 20,000 children and adolescents are served by institutions. The majority of these children are afro-descendent males between the ages of seven and fifteen years old. Of those researched, 87.6% have families (58.2% receive visits from their families, 22.7% are rarely visited by their families and 5.8 are legally prohibited from contacting or being by their families). The percentage of children and adolescents “without families” or with “missing families” is 11.3%. There is no information available for 2% of the children and adolescents residing in shelters. The principle factors that necessitate the placement of Brazilian children in institutions that provide care and shelter include poverty (including children forced to work, sell drugs or beg, for example); domestic violence; chemical dependence of parents or guardians; homelessness; death or parents or guardian; imprisonment of their parents; and sexual abuse committed by their parents or guardians. The issue of abandoned children and adolescents and their care and shelter in the Brazilian context expresses a perverse violation of Child and Adolescent Rights.

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Within the international community there have been many calls for better protection of traditional cultural expressions (TCEs), for which classic instruments of intellectual property rights do not seem to fit. In response, at least five model laws have been advanced within the last 40 years. These are referred to as sui generis because, though they generally belong to the realm of intellectual property they structurally depart from classic copyright law to accommodate the needs of the holders of TCEs. The purpose of this paper is to provide a well-founded basis for national policy makers who wish to implement protection for TCEs within their country. This is achieved by systematically comparing and evaluating economic effects that can be expected to result from these regulatory alternatives and a related system or private ordering. Specifically, we compare if and how protection preferences of local communities are met as well as the social costs that are likely to arise from the different model laws.