We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects. Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. The results seem (...) to run counter to previous theories of cultural differences in facial expression based on emoticons and eye fixation patterns. We connect this to broader research in cognitive science – suggesting the findings support a dynamical systems view of social cognition as an emergent phenomenon. The results here suggest that, if we can induce appropriate context effects, it may be possible to createculture-neutral modelsof robots and affective interaction. (shrink)

We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects. Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. The results seem (...) to run counter to previous theories of cultural differences in facial expression based on emoticons and eye fixation patterns. We connect this to broader research in cognitive science – suggesting the findings support a dynamical systems view of social cognition as an emergent phenomenon. The results here suggest that, if we can induce appropriate context effects, it may be possible to createculture-neutral modelsof robots and affective interaction. (shrink)

We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects. Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for Fear. The results seem (...) to run counter to previous theories of cultural differences in facial expression based on emoticons and eye fixation patterns. We connect this to broader research in cognitive science – suggesting the findings support a dynamical systems view of social cognition as an emergent phenomenon. The results here suggest that, if we can induce appropriate context effects, it may be possible to create culture-neutral models of robots and affective interaction. (shrink)

Part I of this chapter deals with conceptualizing emotion. By splitting up ‘emotion’ into an evaluative, expressive, behavioural, physiological, mental and phenomenological component, giving examples of emotion research theories and state-of-the-art technical systems, I will bring together an analytical and conceptual with empirical approaches to human-machine interaction to evaluate to what extent it may be logically appropriate to speak of ‘emotional machines’. I will give an overview of the mentioned components and their potential to be implemented into technical systems through (...) functional equivalents. This concerns the technical recognition of emotion components in humans as well as the technical simulation/emulation of emotion components. Part II deals with human-machine relations and argues that human understanding of technical systems is crucial to a well-functioning society. I emphasise the importance of an in-depth human understanding of technical systems and plead for the integration of the voices and work of so-called mechanologists into cultural practices and discourse, from which the entire societal setup in which human-machine interaction takes place will benefit. Throughout the chapter I refer to some aspects of classical debates in psychology and philosophy on the relations of emotion, cognition, and consciousness. Additionally, I draw from psychologist and philosopher Gilbert Simondon’s, as well as from gestalt theorist Kurt Lewin’s writings. (shrink)

Robots are increasingly envisaged as our future cohabitants. However, while considerable progress has been made in recent years in terms of their technological realization, the ability of robots to inter-act with humans in an intuitive and social way is still quite limited. An important challenge for social robotics is to determine how to design robots that can perceive the user’s needs, feelings, and intentions, and adapt to users over a broad range of cognitive abilities. It is conceivable that if robots (...) were able to adequately demonstrate this, humans would eventually accept them as social companions. We argue that the best way to achieve this is using a systematic experimental approach based on behavioral and physiological neuroscience methods such as motion/eye tracking, electroencephalography (EEG), or functional near-infrared spectroscopy (fNIRS) embedded in interactive human-robot paradigms. This approach requires understanding how humans interact with each other, how they perform tasks together and how they develop feelings of social connection over time, and using these insights to formulate design principles that make social robots attuned to the workings of the human brain. In this review, we put forward the argument that the likelihood of artificial agents being perceived as social companions can be increased by designing them in a way that they are perceived as intentional agents that activate areas in the human brain involved in social-cognitive processing. We first review literature related to social-cognitive mechanisms involved in human-human interactions, and high-light the importance of perceiving others as intentional agents to activate these brain areas. We then discuss how attribution of intentionality can positively affect human-robot interaction by (a) fostering feelings of social connection, empathy and prosociality, and by (b) enhancing performance on joint human-robot tasks. Lastly, we describe circumstances under which attribution of intentionality to robot agents might be disadvantageous, and discuss challenges associated with designing social robots that are inspired by neuroscientific principles. (shrink)

Research on work values shows that respectful leadership is highly desired by employees. On the applied side, however, the extant research does not offer many insights as to which concrete leadership behaviors are perceived by employees as indications of respectful leadership. Thus, to offer such insights, we collected and content analyzed employees’ narrations of encounters with respectful leadership ( N 1 = 426). The coding process resulted in 19 categories of respectful leadership spanning 149 leadership behaviors. Furthermore, to also harness (...) this comprehensive repertoire for quantitative organizational research, we undertook two more studies ( N 2a = 228; N 2b = 412) to empirically derive a feasible item-based measurement of respectful leadership and assess its psychometric qualities. In these studies, we additionally investigated the relationships between respectful leadership as assessed with this new measurement and employees’ vertical and contextual followership as assessed via subordinates’ identification with their leaders, their appraisal respect for their leaders, their feeling of self-determination, and their job satisfaction. (shrink)

Research on work values shows that respectful leadership is highly desired by employees. On the applied side, however, the extant research does not offer many insights as to which concrete leadership behaviors are perceived by employees as indications of respectful leadership. Thus, to offer such insights, we collected and content analyzed employees’ narrations of encounters with respectful leadership (N1 = 426). The coding process resulted in 19 categories of respectful leadership spanning 149 leadership behaviors. Furthermore, to also harness this comprehensive (...) repertoire for quantitative organizational research, we undertook two more studies (N2a = 228; N2b = 412) to empirically derive a feasible item-based measurement of respectful leadership and assess its psychometric qualities. In these studies, we additionally investigated the relationships between respectful leadership as assessed with this new measurement and employees’ vertical and contextual followership as assessed via subordinates’ identification with their leaders, their appraisal respect for their leaders, their feeling of self-determination, and their job satisfaction. (shrink)

Certain messages, even when not directly payoff relevant, can be a credible form of communication in light of natural social preferences. Social image concerns and other-regarding preferences interact to create incentives to communicate about how one feels about other people. Recognizing the prevalence of the incentive to communicate about one’s social preferences suggests that many social and economic phenomena—from norms of etiquette to cooperation to gift exchange—should be seen, in part, as forms of signaling. These behaviors may be surprisingly robust (...) to material costs, yet sensitive to context. (shrink)