Socially Contingent Humanoid Robot Head Behaviour Results in Increased Charity Donations

The role of robot social behaviour in changing people’s behaviour is an interesting and yet still open question, with the general assumption that social behaviour is beneficial. In this study, we examine the effect of socially contingent robot behaviours on a charity collection task. Manipulating only behavioural cues (maintaining the same verbal content), we show that when the robot exhibits contingent behaviours consistent with those observable in humans, this results in a 32% increase in money collected over a non-reactive robot. These results suggest that apparent social agency on the part of the robot, even when subtle behavioural cues are used, can result in behavioural change on the part of the interacting human

Do People Change their Behavior when the Handler is next to the Robot?

It is increasingly common for people to work alongside robots in a variety of situations. When a robot is completing a task, the handler of the robot may be present. It is important to know how people interact with the robot when the handler is next to the robot. Our study focuses on whether handler’s presence can affect human’s behavior toward the robot. Our experiment targets two different scenarios (handler present and handler absent) in order to find out human’s behavior change toward the robot. Results show that in the handler present scenario, people are less willing to interact with the robot. However, when people do interact with the robot, they tend to interact with both the handler and the robot. This suggests that researchers should consider the presence of a handler when designing for human-robot interactions

Nonverbal immediacy as a characterisation of social behaviour for human-robot interaction

An increasing amount of research has started to explore the impact of robot social behaviour on the outcome of a goal for a human interaction partner, such as cognitive learning gains. However, it remains unclear from what principles the social behaviour for such robots should be derived. Human models are often used, but in this paper an alternative approach is proposed. First, the concept of nonverbal immediacy from the communication literature is introduced, with a focus on how it can provide a characterisation of social behaviour, and the subsequent outcomes of such behaviour. A literature review is conducted to explore the impact on learning of the social cues which form the nonverbal immediacy measure. This leads to the production of a series of guidelines for social robot behaviour. The resulting behaviour is evaluated in a more general context, where both children and adults judge the immediacy of humans and robots in a similar manner, and their recall of a short story is tested. Children recall more of the story when the robot is more immediate, which demonstrates an e�ffect predicted by the literature. This study provides validation for the application of nonverbal immediacy to child-robot interaction. It is proposed that nonverbal immediacy measures could be used as a means of characterising robot social behaviour for human-robot interaction

Can social robots affect children's prosocial behavior? An experimental study on prosocial robot models

The aim of this study was to investigate whether a social robot that models prosocial behavior (in terms of giving away stickers) influences the occurrence of prosocial behavior among children as well as the extent to which children behave prosocially. Additionally, we investigated whether the occurrence and extent of children's prosocial behavior changed when being repeated and whether the behavior modeled by the robot affected children's norms of prosocial behavior. In a one-factorial experiment (weakly prosocial robot vs. strongly prosocial robot), 61 children aged 8 to 10 and a social robot alternately played four rounds of a game against a computer and, after each round, could decide to give away stickers. Children who saw a strongly prosocial robot gave away more stickers than children who saw a weakly prosocial robot. A strongly prosocial robot also increased children's perception of how many other children engage in prosocial behavior (i.e., descriptive norms). The strongly prosocial robot affected the occurrence of prosocial behavior only in the first round, whereas its effect on the extent of children's prosocial behavior was most distinct in the last round. Our study suggests that the principles of social learning also apply to whether children learn prosocial behavior from robots

Enactive artificial intelligence: subverting gender norms in human-robot interaction

IntroductionThis paper presents Enactive Artificial Intelligence (eAI) as a gender-inclusive approach to AI, emphasizing the need to address social marginalization resulting from unrepresentative AI design.MethodsThe study employs a multidisciplinary framework to explore the intersectionality of gender and technoscience, focusing on the subversion of gender norms within Robot-Human Interaction in AI.ResultsThe results reveal the development of four ethical vectors, namely explainability, fairness, transparency, and auditability, as essential components for adopting an inclusive stance and promoting gender-inclusive AI.DiscussionBy considering these vectors, we can ensure that AI aligns with societal values, promotes equity and justice, and facilitates the creation of a more just and equitable society

Anthropomorphism Is Not Always A Marketing Panacea: How Anthropomorphism Shapes Product Durability Perception.

This research examined anthropomorphism as a marketing tool in the new paradigms of green and online merchandising. Two experiments tested how product anthropomorphism affects consumers' product durability perception. Study 1 demonstrated that anthropomorphic design had a significant effect on reducing a product’s durability perception due to its greater perceived performance risk. Importantly, this research reveals an important boundary condition for the negative effect of anthropomorphism on perceived durability and performance risk. Study 2 demonstrated the moderating role of consumers' green consumption attitudes, where individuals with lower green consumption attitudes perceiving anthropomorphised products to have greater perceived performance risk and lesser durability than non-anthropomorphised products. These studies produced clear and significant outcomes that can be utilised in both theoretical and managerial implications. Therefore, although most extant research has shown that anthropomorphism enhances consumers' perceptions of a product, the current research demonstrates that anthropomorphising a product or its promotion can become a detrimental marketing strategy when aiming to project durability

Detecting human engagement propensity in human-robot interaction

Elaborazione di immagini ricavate dal flusso di una semplice videocamera RGB di un robot al fine di stimare la propensione all'interazione di una persona in situazioni di interazione uomo-robot. Per calcolare la stima finale, tecniche basate su deep learning sono usate per estrarre alcune informazioni ausiliarie come: stima della posa di una persona, quale tipo di posa, orientamento del corpo, orientamento della testa, come appaiono le mani.Processing of images retrieved from a simple robot RGB camera stream in order to estimate the engagement propensity of a person in human-robot interaction scenarios. To compute the final estimation, deep learning based technique are used to extract some auxiliary information as: estimation of the pose of a person, which type of pose, body orientation, head orientation, how hands appear

Using novel methods to examine the role of mimicry in trust and rapport

Without realising it, people unconsciously mimic each other’s postures, gestures and mannerisms. This ‘chameleon effect’ is thought to play an important role in creating affiliation, rapport and trust. Existing theories propose that mimicry is used as a social strategy to bond with other members of our social groups. There is strong behavioural and neural evidence for the strategic control of mimicry. However, evidence that mimicry leads to positive social outcomes is less robust. In this thesis, I aimed to rigorously test the prediction that mimicry leads to rapport and trust, using novel virtual reality methods with high experimental control. In the first study, we developed a virtual reality task for measuring implicit trust behaviour in a virtual maze. Across three experiments we demonstrated the suitability of this task over existing economic games for measuring trust towards specific others. In the second and third studies we tested the effects of mimicry from virtual characters whose other social behaviours were tightly controlled. In the second study, we found that virtual mimicry significantly increased rapport and this was not affected by the precise time delay in mimicking. In the third study we found this result was not replicated using a strict, pre-registered design, and the effects of virtual mimicry did not change depending on the ingroup or outgroup status of the mimicker. In the fourth study we went beyond mimicry to explore new ways of modelling coordinated behaviour as it naturally occurs in social interactions. We used high-resolution motion capture to record motion in dyadic conversations and calculated levels of coordination using wavelet analysis. We found a reliable pattern of decoupling as well as coordination in people’s head movements. I discuss how the findings of our experiments relate to theories about the social function of mimicry and suggest directions for future research