Interaction and experience in enactive intelligence and humanoid robotics

Nehaniv, Chrystopher L.; Förster, Frank; Saunders, Joe; Broz, Frank; Antonova, Elena; Köse, Hatice; Lyon, Caroline; Lehmann, Hagen; Sato, Yo; Dautenhahn, Kerstin

doi:10.1109/alife.2013.6602445

Cited by 15 publications

(24 citation statements)

References 37 publications

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“…This needs to be reconciled with enactive, sensorimotor theory underlying the project's approach (see section 1, Introduction), which proposes raw, uninterpreted perceptual experience for scaffolding the acquisition of behaviours [8].…”

Section: Resultsmentioning

confidence: 99%

Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

Lyon

Nehaniv

Saunders

et al. 2016

International Journal of Advanced Robotic Systems

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Co-development of action, conceptualization and social interaction mutually scaffold and support each other within a virtuous feedback cycle in the development of human language in children. Within this framework, the purpose of this article is to bring together diverse but complementary accounts of research methods that jointly contribute to our understanding of cognitive development and in particular, language acquisition in robots. Thus, we include research pertaining to developmental robotics, cognitive science, psychology, linguistics and neuroscience, as well as practical computer science and engineering. The different studies are not at this stage all connected into a cohesive whole; rather, they are presented to illuminate the need for multiple different approaches that complement each other in the pursuit of understanding cognitive development in robots. Extensive experiments involving the humanoid robot iCub are reported, while human learning relevant to developmental robotics has also contributed useful results.Disparate approaches are brought together via common underlying design principles. Without claiming to model human language acquisition directly, we are nonetheless inspired by analogous development in humans and consequently, our investigations include the parallel codevelopment of action, conceptualization and social interaction. Though these different approaches need to ultimately be integrated into a coherent, unified body of knowledge, progress is currently also being made by pursuing individual methods.

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Section: Resultsmentioning

confidence: 99%

Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

Lyon

Nehaniv

Saunders

et al. 2016

International Journal of Advanced Robotic Systems

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“…Within these coordinates, the concept of enaction links biology and phenomenology, emphasizing the interaction of the embodied organism with its environment. It is not a question of the separation of the representation and the action in an objective world, but it is the same activity of the embodied organism that produces a world of meaning (Nehaniv et al 2013). The presence of the majority of studies in Europe and America seems to suggest the complexity and multidisciplinary nature of the topic that, based on a large philosophical background, is positioned in a breaking line with the tradition.…”

Section: Discussionmentioning

confidence: 99%

Enactive Systems & Computing Mapping the terrain for Human-Computer Interaction research

Arpetti

Baranauskas

2016

Anais Do XLIII Seminário Integrado De Software E Hardware (SEMISH 2016)

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While the concept of enaction is not new, recent trends on the use of contemporary devices to interact with computational systems have attracted the attention in the field of interaction design. A quick look in the literature reveals different meanings for an enactive system, depending on the knowledge domain. This paper explores the subject by conducting a Systematic Literature Review to construct a big picture on the subject. Results reveal the paths being traced and issues still unexplored that offer opportunities for investigation in the human computer interaction field.

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“…Indeed, the discussion thus far ties together a variety of contemporary perspectives on language as an interaction system [53] (especially in human-robot interaction [54]), the importance of ToM and predictive models for language behaviour [55,56,57], and the power of a shared narrative [58].…”

Section: Languagingmentioning

confidence: 99%

Introducing a Pictographic Language for Envisioning a Rich Variety of Enactive Systems with Different Degrees of Complexity

Moore

2016

International Journal of Advanced Robotic Systems

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Notwithstanding the considerable amount of progress that has been made in recent years, the parallel fields of cognitive science and cognitive systems lack a unifying methodology for describing, understanding, simulating and implementing advanced cognitive behaviours. Growing interest in 'enactivism' -as pioneered by the Chilean biologists Humberto Maturana and Francisco Varela -may lead to new perspectives in these areas, but a common framework for expressing many of the key concepts is still missing. This paper attempts to lay a tentative foundation in that direction by extending Maturana and Varela's pictographic depictions of autopoietic unities to create a rich visual language for envisioning a wide range of enactive systems -natural or artificial -with different degrees of complexity. It is shown how such a diagrammatic taxonomy can help in the comprehension of important relationships between a variety of complex concepts from a pan-theoretic perspective. In conclusion, it is claimed that visual language is not only valuable for teaching and learning, but also offers important insights into the design and implementation of future advanced robotic systems.

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Interaction and experience in enactive intelligence and humanoid robotics

Cited by 15 publications

References 37 publications

Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles

Enactive Systems & Computing Mapping the terrain for Human-Computer Interaction research

Introducing a Pictographic Language for Envisioning a Rich Variety of Enactive Systems with Different Degrees of Complexity

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