Imitation of a Robot

Children will increasingly interact with sophisticated personified technologies, whether in formal or informal learning environments or their homes. Indeed, many of these technologies are specifically developed to interact with children as teachers or as personal assistants. A critical question that emerges is whether and how children will understand these interactive technologies. The current work supported by the UGP Small Grant sought to develop a line of research investigating children’s conceptions of one class of personified technologies – social robots – as as social others, as sophisticated technologies (but as objects nonetheless), or as somewhere in-between (what we have dubbed the New Ontological Category hypothesis; Kahn, Severson, & Ruckert, 2009; Severson & Carlson, 2010) – and the social and moral implications of children’s conceptions (e.g., Kahn, Kanda, Ishiguro, Freier, Severson, et al. 2012; Kahn, Kanda, Ishiguro, Gill, Ruckert, et al., 2012; Severson & Carlson, 2010)

Are Robots Animate or Inanimate? Children\u27s pronoun use provides insight to categorization challenge

Are robots animate or inanimate? Children’s pronoun use provides insight into categorization challenge Stephen Cooke & Rachel L. Severson University of Montana Children attribute an array of animate characteristics to robots (e.g., emotions, mental states, sociality, and moral standing), yet at the same time understand them as inanimates (e.g., non-biological). However, much of the existing research has relied upon explicit measures (children’s self-report), rather than implicit or behavioral measures. Given that children attribute a unique constellation of animate and inanimate characteristics to robot (new ontological category hypothesis), it is critical to evaluate children’s conceptions of robots using converging measures (implicit and explicit). Thus, the purpose of the current research was to assess children’s categorical understanding of a robot using an implicit measure of pronoun use. Based on previous research, we predicted (1) children will use more gendered pronouns (male-gendered, in particular) with the robot compared to the puppet, and (2) researcher’s pronoun use will influence participant’s pronoun use more for the robot than the puppet

You made him be alive: Children’s perceptions of animacy in a humanoid robot

Social robots are becoming more sophisticated; in many cases they offer complex, autonomous interactions, responsive behaviors, and biomimetic appearances. These features may have significant impact on how people perceive and engage with robots; young children may be particularly influenced due to their developing ideas of agency. Young children are considered to hold naive beliefs of animacy and a tendency to mis-categorise moving objects as being alive but, with development, children can demonstrate a biological understanding of animacy. We experimentally explore the impact of children’s age and a humanoid’s movement on children’s perceptions of its animacy. Our humanoid’s behavior varied in apparent autonomy, from motionless, to manually operated, to covertly operated. Across conditions, younger children rated the robot as being significantly more person-like than older children did. We further found an interaction effect: younger children classified the robot as significantly more machine-like if they observed direct operation in contrast observing the motionless or apparently autonomous robot. Our findings replicate field results, supporting the modal model of the developmental trajectory for children’s understanding of animacy. We outline a program of research to both deepen the theoretical understanding of children’s animacy beliefs and develop robotic characters appropriate across key stages of child development

Developmental changes in perceived moral standing of robots

We live in an age where robots are increasingly present in the social and moral world. Here, we explore how children and adults think about the mental lives and moral standing of robots. In Experiment 1 (N = 116), we found that children granted humans and robots with more mental life and vulnerability to harm than an anthropomorphized control (i.e., a toy bear). In Experiment 2 (N = 157), we found that, relative to children, adults ascribed less mental life and vulnerability to harm to robots. In Experiment 3 (N = 152), we modified our experiment to be within-subjects and measured beliefs concerning moral standing. Though younger children again appeared willing to assign mental capacities — particularly those related to experience (e.g., being capable of experiencing hunger) — to robots, older children and adults did so to a lesser degree. This diminished attribution of mental life tracked with diminished ratings of robot moral standing. This informs ongoing debates concerning emerging attitudes about artificial life

Opening Space for Theoretical, Methodological, and Empirical Issues in Human-Machine Communication

This journal offers a space dedicated to theorizing, researching empirically, and discussing human-machine communication (HMC), a new form of communication with digital interlocutors that has recently developed and has imposed the urgency to be analyzed and understood. There is the need to properly address the model of this specific communication as well as the roles, objectives, functions, experiences, practices, and identities of the interlocutors involved, both human and digital. Reading these seven articles is an advantageous intellectual exercise for entering this new field of research on Human-Machine Communication. The present volume contributes substantially both at theoretical and empirical levels by outlining this new field of research, giving new perspectives and models, and inspiring new paths of research

Toward an Agent-Agnostic Transmission Model: Synthesizing Anthropocentric and Technocentric Paradigms in Communication

Technological and social evolutions have prompted operational, phenomenological, and ontological shifts in communication processes. These shifts, we argue, trigger the need to regard human and machine roles in communication processes in a more egalitarian fashion. Integrating anthropocentric and technocentric perspectives on communication, we propose an agent-agnostic framework for human-machine communication. This framework rejects exclusive assignment of communicative roles (sender, message, channel, receiver) to traditionally held agents and instead focuses on evaluating agents according to their functions as a means for considering what roles are held in communication processes. As a first step in advancing this agent-agnostic perspective, this theoretical paper offers three potential criteria that both humans and machines could satisfy: agency, interactivity, and influence. Future research should extend our agent-agnostic framework to ensure that communication theory will be prepared to deal with an ostensibly machine-inclusive future

Human, Hybrid, or Machine? Exploring the Trustworthiness of Voice-Based Assistants

This study investigates how people assess the trustworthiness of perceptually hybrid communicative technologies such as voice-based assistants (VBAs). VBAs are often perceived as hybrids between human and machine, which challenges previously distinct definitions of human and machine trustworthiness. Thus, this study explores how the two trustworthiness models can be combined in a hybrid trustworthiness model, which model (human, hybrid, or machine) is most applicable to examine VBA trustworthiness, and whether this differs between respondents with different levels of prior experience with VBAs. Results from two surveys revealed that, overall, the human model exhibited the best model fit; however, the hybrid model also showed acceptable model fit as prior experience increased. Findings are discussed considering the ongoing discourse to establish adequate measures for HMC research

Designing connected play: Perspectives from combining industry and academic know-how. In: Chaudron S., Di Gioia R., Gemo M., Holloway D., Marsh J., Mascheroni G., Peter J., Yamada-Rice D. Kaleidoscope on the Internet of Toys - Safety, security, privacy and societal insights, EUR 28397 EN, doi:10.2788/05383

Academics, designers and producers tend to consider the evolving Internet of Toys (IoToys) from within their individual disciplines. On the one hand, academics bring a long history of researching and theorizing play and communication practices to the task of considering young children’s use of connected toys. On the other hand, designers and producers of connected toys have detailed understanding of the possibilities and affordances of technology, as well as the technical mechanics involved in toy production. In other words, they know what it is possible to make, and what it is not possible to make. Industry also has an eye on trends in digital toy production and content, and how these are likely to evolve. This is because the digital play industry track data on technology usage and media consumption, and so on. These are things that academics are often a step behind in understanding because of a tendency to consider children’s use of an end product. However, my work across academia and the commercial toy and digital content industry has taught me that the amount of expertise companies have of child development and theories around play and communication practices is extremely varied and start-up companies in particular have little resource to conduct in-house research. This means that some connected toys are not as well made for young users as they could be. However, these crossovers have also taught me that sometimes academics call for changes to designs that are not easily possible or commercially viable. Therefore, regular collaboration between academia and industry would aid production of the best possible connected toys and content for young children

Valenced Media Effects on Robot-Related Attitudes and Mental Models: A Parasocial Contact Approach

Despite rapid advancements in robotics, most people still only come into contact with robots via mass media. Consequently, robot-related attitudes are often discussed as the result of habituation and cultivation processes, as they unfold during repeated media exposure. In this paper, we introduce parasocial contact theory to this line of research— arguing that it better acknowledges interpersonal and intergroup dynamics found in modern human–robot interactions. Moreover, conceptualizing mediated robot encounters as parasocial contact integrates both qualitative and quantitative aspects into one comprehensive approach. A multi-method experiment offers empirical support for our arguments: Although many elements of participants’ beliefs and attitudes persisted through media exposures, valenced parasocial contact resulted in small but meaningful changes to mental models and desired social distance for humanoid robots

Sharing Stress With a Robot: What Would a Robot Say?

With the prevalence of mental health problems today, designing human-robot interaction for mental health intervention is not only possible, but critical. The current experiment examined how three types of robot disclosure (emotional, technical, and by-proxy) affect robot perception and human disclosure behavior during a stress-sharing activity. Emotional robot disclosure resulted in the lowest robot perceived safety. Post-hoc analysis revealed that increased perceived stress predicted reduced human disclosure, user satisfaction, robot likability, and future robot use. Negative attitudes toward robots also predicted reduced intention for future robot use. This work informs on the possible design of robot disclosure, as well as how individual attributes, such as perceived stress, can impact human robot interaction in a mental health context