Evaluating Emotion Expressing Robots in Affective Space

Abstract

Research on human emotions has been an area of increased interest in the field of human-robot interaction in the last decade. Subfields reach from usability studies over emotionally enriched communication to even social integration in human-robot groups. Prominent aims are the investigation of the impact of emotional responses, perception of emotions, and emotional decision making on the efficiency and robustness of the interaction process. Intuitive communication and easy familiarization are other factors of major interest. In order to facilitate emotionally enriched communication, means of expressing “emotional states” of a robot are necessary, i.e. expressive features, which can be used to induce emotions in the human or simply to provide additional cues on the progression of the communication or interaction process. A common approach is the integration of facial expression elements in the robot artefact as very elaborated frameworks on human facial expressions exist, which can be utilized, e.g. (Blow et al., 2006; Breazeal, 2002a; Grammer & Oberzaucher, 2006; Hara & Kobayashi, 1996; Sosnowski et al., 2006a; Zecca et al., 2004). The design and control of such expressive elements have a significant impact on how the represented emotional state of the robot is perceived by the human counterpart. Particularly, the controlled posture is an important aspect and a well investigated issue in human nonverbal communication considering facial expressions. Common frameworks are works using the Facial Action Coding System (FACS) (Ekman & Friesen, 1977) and variants establishing the link between muscular activations and facial expressions, i.e. the quantitative contribution of muscular group poses to perceived emotions, e.g. (Grammer & Oberzaucher, 2006). Such a design approach is dimensional (continuous) in nature as a continuous representation of the emotional state space composed of the dimensions valence/pleasure, arousal, and dominance/stance is used and the contribution of muscular group poses to these components is provided. The choice of concept for the evaluation of displayed facial expressions is an issue of equal importance. A comprehensive evaluation is essential as the actuating elements of the robot (motors, joints, transmission elements, etc.) differ significantly from those of the human. Thus, although elaborated frameworks as e.g. FACS are used in the design process a significant deviation of the intended and perceived expression can be expected. Common evaluation procedures use a categorical approach where test participants may choose best fits from a set.