The Magnetism of Power in Helping Relationships. Professional Attitude and Asymmetry

What makes helping relationships - or social interventions in general - so sensitive to abuse? These problems are directly related to the nature of the helping relationship. The core of this relationship is the inequality, the asymmetry, between the helper and the person being helped, and the dependence of the latter. Asymmetry is the driving force behind every social intervention and at the same time its weakest point. Handling asymmetry in an appropriate manner constitutes a major part of the work of the intervening party. This asymmetry makes heavy demands on the professional attitude of the intervening party i.e. the helper. Is s/he capable of dealing with dependence in an acceptable way? Is s/he well-versed in her/his profession? This article contains a comprehensive sketch of many of the possible dangers and pitfalls which beset asymmetric intervention relations. At the end it will be argued that, for a better understanding, the proximity of helping and power has to be taken into account.

Impact Study of Nonverbal Facial Cues on Spontaneous Chatting with Virtual Humans

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.