It is essential for social robots to fit in the human society. In order to facilitate this process we propose to use the family dog’s social behaviour shown towards humans as an inspiration. In this study we explored dogs’ low level social monitoring in dog-human interactions and extracted individually consistent and context dependent behaviours in simple everyday social scenarios. We found that proximity seeking and tail wagging were most individually distinctive in dogs, while activity, orientation towards the owner, and exploration (...) were dependent on the context and/or the activity of the owner. The functional analogues of these dog behaviours can be implemented in social robots of different embodiments in order to make them acceptable and more believable for humans. Keywords: dog-owner interaction; social robotics; low-level social monitoring; greeting behaviour; individually distinctive behaviours. (shrink)

Excessive dog barking is among the leading sources of noise pollution world-wide; however, the reasons for the annoyance of barking to people remained uninvestigated. Our questions were: is the annoyance rating affected by the acoustic parameters of barks; does the attributed inner state of the dog and the nuisance caused by its barks correlate; does the gender and country of origin affect the subjects’ sensitivity to barking. Participants from Hungary (N = 100) and Brazil (N = 60) were tested with (...) sets of 27 artificial bark sequences. Subjects rated each bark according to the inner state of the dog and the annoyance caused by the particular bark. Subjects from both countries found high-pitched barks the most annoying: however, harsh, fast-pulsing, low-pitched barks were also unpleasant. Men found high-pitched barks more annoying than the women did. Annoyance ratings showed positive correlation with assumed negative inner states of the dog, positive emotional ratings showed negative correlation with the annoyance level. This is the first indication that acoustic features that were selected for effective vocal signalling may be annoying for human listeners. Among the explanations for this effect the role of affective communication and similar bioacoustics of particular animal vocalizations and baby cries are discussed. (shrink)

A special area of human-machine interaction, the expression of emotions gains importance with the continuous development of artificial agents such as social robots or interactive mobile applications. We developed a prototype version of an abstract emotion visualization agent to express five basic emotions and a neutral state. In contrast to well-known symbolic characters (e.g., smileys) these displays follow general biological and ethological rules. We conducted a multiple questionnaire study on the assessment of the displays with Hungarian and Japanese subjects. In (...) most cases participants were successful in recognizing the displayed emotions. Fear and sadness were most easily confused with each other while both the Hungarian and Japanese participants recognized the anger display most correctly. We suggest that the implemented biological approach can be a viable complement to the emotion expressions of some artificial agents, for example mobile devices. (shrink)