Social behaviours in dog-owner interactions can serve as a model of companion robot behaviour

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

Methodological challenges of the use of robots in ethological research

Artificial models have been used as interactive partners for decades to study the social behavior of animals. Recent technological developments have opened up novel possibilities by allowing researchers to use remote controlled and autonomous objects in these studies, and Animal-Robot Interaction has become an emerging field of behavior science. However, there are theoretical, methodological and practical issues in ethological research using robotic agents. Here we aimed to provide an overview on robots by classifying them along different aspects to facilitate future research, and to present some novel approaches that could be considered as a guide for researchers who are new to the fields of animal-robot interactions (ARI) and human-robot interactions (HRI). The present review may facilitate future collaboration between biologists/psychologists, robot developers, engineers and programmers that further contributes to the development of novel research methods and procedure

How do you do the things that you do? Ethological approach to the description of robot behaviour

The detailed description of behaviour of the interacting parties is becoming more and more important in human-robot interaction (HRI), especially in social robotics (SR). With the rise in the number of publications, there is a substantial need for the objective and comprehensive description of implemented robot behaviours to ensure comparability and reproducibility of the studies. Ethograms and the meticulous analysis of behaviour was introduced long ago in animal behaviour research (cf. ethology). The adoption of this method in SR and HRI can ensure the desired clarity over robot behaviours, while also providing added benefits during robot development, behaviour modelling and analysis of HRI experiments. We provide an overview of the possible uses and advantages of ethograms in HRI, and propose a general framework for describing behaviour which can be adapted to the requirements of specific studies

Example robot ethogram, supplementary of Korcsok PhD dissertation, and Korcsok and Korondi (2023) Biologia Futura

The tables present two layouts of a robot ethogram cataloguing the behaviour elements of a social robot, described in the publication: How do you do the things that you do? - Ethological approach to the description of robot behaviour, Biologia Futura (2023) by Korcsok, B. and Korondi, P. The ethogram is also available as Supplementary material in this publication

Biologically Inspired Emotional Expressions for Artificial Agents

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

School violence: Evidence from Young Lives in Vietnam

The issue of school violence in Vietnam has previously been addressed in some papers, but only with reference to a specific locality or combined with other issues under the broader theme of child abuse. However, news about school violence is now appearing in Vietnam's national daily media at an increased frequency and intensity, and attracting general public attention. Despite the existence of legal regulations related to child protection in general and prohibiting school violence in particular, cases of school violence still appear regularly in the media. This raises questions about the enforcement of current legislation and whether the key causes of violence have been properly addressed. There is no generally applicable definition of school violence but the term "school violence" used in this paper includes both acts of violence and bullying among students and those performed by teachers on students within the school grounds. In terms of physical violence, quantitative evidence from the Young Lives study shows a higher level of fighting reported by 8-year-olds in 2009, as compared with children of the same age in 2002. Such incidents were common among students in the sample, regardless of their economic status. The data from Young Lives also allow us to track changes in the rate of physical violence as the same group of children grow up (so picking up differences by child age). The rate of children beaten by other children more than tripled between Rounds 1 and 2 (when the Older Cohort were aged 8 and 12). In contrast, cases where teachers beat students dropped from 3.84 per cent in Round 1 to an insignificant level in Round 2. However, when comparing 8-year-old children at two different times (2002 and 2009), we see an increasing trend in physical violence across the board. Analysis of emotional violence was more difficult because the data recorded both answers by caregivers and by students themselves. It is interesting that students reported a lower rate of peer bullying (19.7 per cent) than that reported by caregivers (24.8 per cent). Results from the qualitative data collected from interviews with 36 of the Young Lives children uncovered the long-term impact of school violence as well as its causes. Causes of violence among students vary greatly, and sometimes there is no explicit reason. Therefore, more weight should be given to preventative measures such as improving children?s life skills or raising their awareness about the impacts of school violence. Responses from parents and school to violence among students are very important. The ways in which violence is addressed and disputes are settled can have long-term, even lifelong, impacts on children's futures. The right intervention, therefore, requires effort and closer co-operation between families and schools. Key policy implications of this paper include closer cooperation between the school, family, community and police, accompanied by the introduction of life skills for children into the school curriculum, training in positive discipline for teachers and better data collection

Video_1_Biologically Inspired Emotional Expressions for Artificial Agents.MP4

<p>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.</p

Video_5_Biologically Inspired Emotional Expressions for Artificial Agents.MP4

<p>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.</p

Video_6_Biologically Inspired Emotional Expressions for Artificial Agents.MP4

<p>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.</p