We explain metacognition as a management of cognitive resources that does not necessitate algorithmic strategies or metarepresentation. When pragmatic, world-directed actions cannot reduce the distance to the goal, agents engage in epistemic action directed at cognition. Such actions often are physical and involve other people, and so are open to observation. Taking a dynamic systems approach to development, we suggest that implicit and perceptual metacognition emerges from dyadic reciprocal interaction. Early intersubjectivity allows infants to internalize and construct rudimentary strategies for (...) monitoring and control of their own and others’ cognitions by emotion and attention. The functions of initiating, maintaining, and achieving turns make proto-conversation a productive platform for developing metacognition. It enables caregiver and infant to create shared routines for epistemic actions that permit training of metacognitive skills. The adult is of double epistemic use to the infant – as a teacher that comments on and corrects the infant’s efforts, and as the infant’s cognitive resource in its own right. (shrink)

Autism spectrum disorder is usually understood through deficits in social interaction and communication, repetitive patterns of behavior, and hyper- or hyporeactivity to sensory input. Affordance-based Skilled Intentionality that combines ecological-enactive views of cognition with Free Energy and Predictive Processing was proposed as the framework from which to view autism integrally. Skilled Intentionality distinguishes between a landscape of affordances and a field of affordances. Under the integrative Skilled Intentionality Framework, it can be shown that autistic differences in the field of affordances (...) stem from aberrant precision estimation. Autistics over-rely on the precision afforded by the environment—a stable econiche they build. According to this approach, autism is understood as characterized by an atypical field of affordances. I will build on the ecological-enactive account of autism to suggest that one way to shape the neurotypical landscape of affordances in accordance with autistic needs is through the use of Ambient Smart Environments (ASEs). Taking the cue from autistic lived experience, ASEs could help minimize environmental uncertainty and afford affective scaffolding by supporting dynamic and flexible niche construction in accordance with individual autistic styles. (shrink)

Recent debates on mental extension and distributed cognition have taught us that environmental resources play an important and often indispensable role in supporting cognitive capacities. In order to clarify how interactions between the mind –particularly memory– and the world take place, this paper presents the “selection problem” and the “endorsement problem” as structural problems arising from such interactions in cases of mental scaffolding. On the one hand, the selection problem arises each time an agent is confronted with a cognitive problem, (...) since she has to choose whether to solve it internally or externally. How does she choose? On the other hand, when confronted with the internally or externally retrieved solution to a cognitive task, the subject has to decide whether to endorse the information. How does the subject decide whether to endorse it or not? The last section proposes a solution to each problem in terms of metamemory and metacognitive feelings. Metamemory evaluates memory each time the subject is confronted with a memory task and elicits either a positive or negative metacognitive feeling that guides the decision. (shrink)

Interest in design methods and tools has been steadily growing in HRI. Yet, design is not acknowledged as a discipline with specific epistemology and methodology. Designerly HRI work is validated through user studies which, we argue, provide a limited account of the knowledge design produces. This paper aims to broaden current understanding of designerly HRI work and its contributions by unpacking what designerly knowledge is and how to produce it. Through a critical analysis of current HRI design literature, we identify (...) a lack of work dedicated to understanding the conceptual implications of robotic artifacts. These, in fact, are implicit carriers of crucial HRI knowledge that can challenge established assumptions about how a robot should look, act, and be like. We conclude by discussing a set of practices desirable to legitimize designerly HRI work, and calling for further research addressing the conceptual implications designerly HRI work. (shrink)