In this paper, we analyze what effects indicators of a shared situation have on a speaker’s persuasiveness by investigating how a robot’s advice is received when it indicates that it is sharing the situational context with its user. In our experiment, 80 participants interacted with a robot that referred to aspects of the shared context: Face tracking indicated that the robot saw the participant, incremental feedback suggested that the robot was following their actions, and comments about, and gestures towards, the (...) shared physical situation and linguistic references to the dialog history indicated to participants that the robot had learned from the interaction and perceived its surroundings. The results show that especially the linguistic and gestural references to the shared context have a significant influence on participants’ compliance with the robot’s suggestions. Thus, indicating that it is ‘in the same boat’ with the user, i.e. that it is sharing the situational context, increases a robot’s persuasiveness during advice giving. (shrink)

Social robots serve people as tutors, caretakers, receptionists, companions, and other social agents. People know that the robots are mechanical artifacts, yet they interact with them as if they were actual agents. How is this possible? The proposal here is that people construe social robots not as social agents per se, but as depictions of social agents. They interpret them much as they interpret ventriloquist dummies, hand puppets, virtual assistants, and other interactive depictions of people and animals. Depictions as a (...) class consist of three physical scenes with part-by-part mappings between them: (a) a base scene (the raw physical artifact), (b) the depiction proper (the artifact construed as a depiction), and (c) the scene depicted (the scene people are to imagine). With social robots, evidence shows people form the same three scenes plus mappings: They perceive the raw machinery of a robot, construe it as a depiction of a character, and, using the depiction as a guide, engage in the pretense that they are interacting with the character depicted. With social robots, people also recognize three classes of agents – the characters depicted, the intended recipients of the depictions (those who view or interact with the robots), and the authorities responsible for the robots (the designers, makers, and owners). Construing social robots as depictions, we argue, accounts for many phenomena not covered by alternative models. (shrink)

It has been proposed that the design of robots might benefit from interactions that are similar to caregiver-child interactions, which is tailored to children's respective capacities to a high degree. However, so far little is known about how people adapt their tutoring behaviour to robots and whether robots can evoke input that is similar to child-directed interaction. The paper presents detailed analyses of speakers' linguistic behaviour and non-linguistic behaviour, such as action demonstration, in two comparable situations: In one experiment, parents (...) described and explained to their nonverbal infants the use of certain everyday objects; in the other experiment, participants tutored a simulated robot on the same objects. The results, which show considerable differences between the two situations on almost all measures, are discussed in the light of the computer-as-social-actor paradigm and the register hypothesis. Keywords: child-directed speech (CDS); motherese; robotese; motionese; register theory; social communication; human-robot interaction (HRI); computers-as-social-actors; mindless transfer. (shrink)

It has been proposed that the design of robots might benefit from interactions that are similar to caregiver–child interactions, which is tailored to children’s respective capacities to a high degree. However, so far little is known about how people adapt their tutoring behaviour to robots and whether robots can evoke input that is similar to child-directed interaction. The paper presents detailed analyses of speakers’ linguistic behaviour and non-linguistic behaviour, such as action demonstration, in two comparable situations: In one experiment, parents (...) described and explained to their nonverbal infants the use of certain everyday objects; in the other experiment, participants tutored a simulated robot on the same objects. The results, which show considerable differences between the two situations on almost all measures, are discussed in the light of the computer-as-social-actor paradigm and the register hypothesis. Keywords: child-directed speech ; motherese; robotese; motionese; register theory; social communication; human–robot interaction ; computers-as-social-actors; mindless transfer. (shrink)

It has been proposed that the design of robots might benefit from interactions that are similar to caregiver–child interactions, which is tailored to children’s respective capacities to a high degree. However, so far little is known about how people adapt their tutoring behaviour to robots and whether robots can evoke input that is similar to child-directed interaction. The paper presents detailed analyses of speakers’ linguistic behaviour and non-linguistic behaviour, such as action demonstration, in two comparable situations: In one experiment, parents (...) described and explained to their nonverbal infants the use of certain everyday objects; in the other experiment, participants tutored a simulated robot on the same objects. The results, which show considerable differences between the two situations on almost all measures, are discussed in the light of the computer-as-social-actor paradigm and the register hypothesis. Keywords: child-directed speech ; motherese; robotese; motionese; register theory; social communication; human–robot interaction ; computers-as-social-actors; mindless transfer. (shrink)

This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the framework of human linguistic and cognitive development, we focus on how three central types of learning interact and co-develop: individual learning about one's own embodiment and the environment, social learning (learning from others), and learning of linguistic capability. Our primary concern is how these (...) capabilities can scaffold each other's development in a continuous feedback cycle as their interactions yield increasingly sophisticated competencies in the agent's capacity to interact with others and manipulate its world. Experimental results are summarized in relation to milestones in human linguistic and cognitive development and show that the mutual scaffolding of social learning, individual learning, and linguistic capabilities creates the context, conditions, and requisites for learning in each domain. Challenges and insights identified as a result of this research program are discussed with regard to possible and actual contributions to cognitive science and language ontogeny. In conclusion, directions for future work are suggested that continue to develop this approach toward an integrated framework for understanding these mutually scaffolding processes as a basis for language development in humans and robots. (shrink)

In this paper, we discuss the development of robot use cases in an elderly care facility in the context of exploring the method of Integrative Social Robotics when used on top of a user-centered design approach. Integrative Social Robotics is a new proposal for how to generate responsible, i.e. culturally and ethically sustainable, social robotics applications. Starting point for the discussion are the five principles that characterize an ISR approach, which are discussed in application to the three use cases for (...) robot support in a Danish elderly care facility developed within the smooth project. The discussion by an interdisciplinary design team explores what attention to the five principles of ISR can offer for use case development. We report on the consequences of this short-time exposure to the basic ideas of ISR for use case development and discuss the value of approaching robot development from an ISR perspective. (shrink)

In this article, I address the question whether or not robots should be social actors and suggest that we do not have much choice but to construe collaborative robots as social actors. Social cues, including emotional displays, serve coordination functions in human interaction and therefore have to be used, even by robots, in order for long-term collaboration to succeed. While robots lack the experiential basis of emotional display, also in human interaction much emotional expression is part of conventional social practice; (...) if robots are to participate in such social practices, they need to produce such signals as well. I conclude that if we aim to share our social spaces with robots, they better be social actors, which may even include the display of emotions. This finding is of empirical as well as philosophical relevance because it shifts the ethical discussion away from the question, how social collaborative robots should be, to the question, what kinds of human-robot collaborations we want. (shrink)

In this article, I address the question whether or not robots should be social actors and suggest that we do not have much choice but to construe collaborative robots as social actors. Social cues, including emotional displays, serve coordination functions in human interaction and therefore have to be used, even by robots, in order for long-term collaboration to succeed. While robots lack the experiential basis of emotional display, also in human interaction much emotional expression is part of conventional social practice; (...) if robots are to participate in such social practices, they need to produce such signals as well. I conclude that if we aim to share our social spaces with robots, they better be social actors, which may even include the display of emotions. This finding is of empirical as well as philosophical relevance because it shifts the ethical discussion away from the question, how social collaborative robots should be, to the question, what kinds of human-robot collaborations we want. (shrink)

Corpus-driven Cognitive Semantics Introduction to the field Dylan Glynn Is quantitative empirical research possible for the study of semantics?1 More ...

We take up issues raised in the commentaries about our proposal that social robots are depictions of social agents. Among these issues are the realism of social agents, experiencing robots, communicating with robots, anthropomorphism, and attributing traits to robots. We end with comments about the future of social robots.

In this paper, we analyze what effects indicators of a shared situation have on a speaker’s persuasiveness by investigating how a robot’s advice is received when it indicates that it is sharing the situational context with its user. In our experiment, 80 participants interacted with a robot that referred to aspects of the shared context: Face tracking indicated that the robot saw the participant, incremental feedback suggested that the robot was following their actions, and comments about, and gestures towards, the (...) shared physical situation and linguistic references to the dialog history indicated to participants that the robot had learned from the interaction and perceived its surroundings. The results show that especially the linguistic and gestural references to the shared context have a significant influence on participants’ compliance with the robot’s suggestions. Thus, indicating that it is ‘in the same boat’ with the user, i.e. that it is sharing the situational context, increases a robot’s persuasiveness during advice giving. (shrink)

This special issue addresses how aspects of the communicative situation influence how influential persuasive utterances (or other strategies of influence) are in their contexts of use. Specifically, we study the effects of interactional, speaker-, addressee- and channel-related factors and of the interpersonal relationship between speaker and hearer, as well as the effects of referring to the shared context itself. The papers combined in this special issue provide evidence for the considerable impact of the here and now of the interactional context (...) on the persuasiveness of strategies of influence and contribute to our understanding of mechanisms of persuasion. (shrink)

This special issue addresses how aspects of the communicative situation influence how influential persuasive utterances (or other strategies of influence) are in their contexts of use. Specifically, we study the effects of interactional, speaker-, addressee- and channel-related factors and of the interpersonal relationship between speaker and hearer, as well as the effects of referring to the shared context itself. The papers combined in this special issue provide evidence for the considerable impact of the here and now of the interactional context (...) on the persuasiveness of strategies of influence and contribute to our understanding of mechanisms of persuasion. (shrink)