Revisiting the video deficit in technology-saturated environments: Successful imitation from people, screens, and social robots.

The "video deficit" is a well-documented effect whereby children learn less well about information delivered via a screen than the same information delivered in person. Research suggests that increasing social contingency may ameliorate this video deficit. The current study instantiated social contingency to screen-based information by embodying the screen within a socially interactive robot presented to urban Australian children with frequent exposure to screen-based communication. We failed to document differences between 22- to 26-month-old children's (N = 80) imitation of screen-based information embedded in a social robot and in-person humans. Furthermore, we did not replicate the video deficit with children imitating at similar levels regardless of the presentation medium. This failure to replicate supports the findings of a recent meta-analysis of video deficit research whereby there appears to be a steady decrease over time in the magnitude of the video deficit effect. We postulate that, should the video deficit effect be truly dwindling in effect size, the video deficit may soon be a historical artifact as children begin perceiving technology as relevant and meaningful in everyday life more and more. This research finds that observational-based learning material can be successfully delivered in person, via a screen, or via a screen embedded in a social robot.

The early ontogeny of infants' imitation of on screen humans and robots.

Traditionally, infants have learned how to interact with objects in their environment through direct observations of adults and peers. In recent decades these models have been available over different media, and this has introduced non-human agents to infants' learning environments. Humanoid robots are increasingly portrayed as social agents in on screen, but the degree to which infants are capable of observational learning from screen-based robots is unknown. The current study thus investigated how well 1- to 3-year-olds (N = 230) could imitate on-screen robots relative to on-screen and live humans. Participants exhibited an imitation deficit for robots that varied with age. Furthermore, the well-known video deficit did not replicate as expected, and was weak and transient relative to past research. Together, the findings documented here suggest that infants are learning from media in ways that differ from past generations, but that this new learning is nuanced when novel technologies are involved.

The man and the machine: Do children learn from and transmit tool-use knowledge acquired from a robot in ways that are comparable to a human model?

Robots are an increasingly prevalent presence in children's lives. However, little is known about the ways in which children learn from robots and whether they do so in the same way as they learn from humans. To investigate this, we adapted a previously established imitation paradigm centered on inefficient tool use. Children (3- to 6-year-olds; N = 121) were measured on their acquisition and transmission of normative knowledge modeled by a human or a robot. Children were more likely to adopt use of a normative tool and to transmit this knowledge to another when shown how to do so by the human than when shown how to do so by the robot. Older children (5- and 6-year-olds) were less likely than younger children (3- and 4-year-olds) to select the normative tool. Our findings suggest that preschool children are capable of copying and transmitting normative techniques from both human and robot models, albeit at different rates and dependent on age.

Four-Year-Old's Online Versus Face-to-Face Word Learning via eBooks.

Developmental research typically relies on face-to-face testing at laboratories, childcare centers, museums or playgroups. Current social distancing measures have led to a halt in research. Although face-to-face interaction is considered essential for research involving young children, current technology provides viable alternatives. This paper introduces an accessible, replicable and easy to follow method to conduct online developmental research with young children employing a word-learning task as an exemplar, including a detailed workflow and step-by-step guide to using easily accessible programs and platforms. Four-year-old children's (N = 56) performance on a word-learning task delivered online vs. face-to-face is provided as a method validation. Children's performance on the word-learning task was predominantly consistent across delivery modes, with only slight variation in performance between modes. The implications of these similar results across face-to-face and online methods are discussed alongside avenues for further research. Importantly, this paper presents an emerging methodological approach for the online administration of developmental science both within and beyond the COVID-19 pandemic, adding a new tool to current and future developmental scientist's toolkits.

Can a robot teach me that? Children's ability to imitate robots.

Commensurate with constant technological advances, social robots are increasingly anticipated to enter homes and classrooms; however, little is known about the efficacy of social robots as teaching tools. To investigate children's learning from robots, 1- to 3-year-olds observed either a human or a robot demonstrate two goal-directed object manipulation tasks and were then given the opportunity to act on the objects. Children exhibited less imitation from robotic models that varied with task complexity and age, a phenomenon we term the "robot deficit." In addition, the more children engaged with the robot prior to administration of the imitation task, the more likely they were to replicate the robot's actions. These findings document how children are able to learn from robots but that ongoing design of robotic platforms needs to be oriented to developing more socially engaging means of interacting.

Preschool children overimitate robots, but do so less than they overimitate humans.

Past research has indicated that young children have a propensity to adopt the causally unnecessary actions of an adult, a phenomenon known as overimitation. Among competing perspectives, social accounts suggest that overimitation satisfies social motivations, be they affiliative or normative, whereas the "copy-all/refine-later" account proposes that overimitation serves a functional purpose by giving children the greatest opportunity to acquire knowledge with little error. Until recently, these two accounts have been difficult to extricate experimentally, but the development of humanoid robots provides a novel test. Here we document that children overimitate robots, but to a lesser degree than humans and regardless of whether the redundant actions are seen to be ritualistic or functional. These results are best explained with a combined account of overimitation, whereby children approach a learning task with a copy-all/refine-later motivation, but the fidelity of the reproduction of novel behaviors is modulated by the social availability of the demonstrator.

Children's perceptions of the moral worth of live agents, robots, and inanimate objects.

This study examined children's moral concern for robots relative to living and nonliving entities. Children (4-10 years of age, N = 126) watched videos of six different entities having a box placed over them that was subsequently struck by a human hand. Children were subsequently asked to rate the moral worth of each agent relating to physical harm. Children afforded robotic entities less moral concern than living entities but afforded them more moral concern than nonliving entities, and these effects became more pronounced with age. Children's tendency to ascribe mental life to robotic and nonliving entities (but not living entities) predicted moral concern for these entities. However, when asked to make moral judgments relating to giving the agent away, children did not distinguish between nonliving and robotic agents and no age-related changes were identified. Moreover, the tendency to ascribe mental life was predictive of moral concern only for some agents but not others. Overall, the findings suggest that children consider robotic entities to occupy a middle moral ground between living and nonliving entities and that this effect is partly explained by the tendency to ascribe mental life to such agents. They also demonstrate that moral worth is a complex multifaceted concept that does not demonstrate a clear pattern across different ontological categories.