Using Human–Computer Interfaces to Investigate ‘Mind-As-It-Could-Be’ from the First-Person Perspective

Froese, Tom; Suzuki, Keisuke; Ogai, Yuta; Ikegami, Takashi

doi:10.1007/s12559-012-9153-4

Cited by 27 publications

(16 citation statements)

References 61 publications

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“…Some modulations are relatively subtle changes in perceptual experience (e.g., Davoli et al, 2012), while other phenomenological changes, such as those induced by one's mastery of sensory substitution systems, can be more profound (Lenay et al, 2003; Auvray and Myin, 2009). As we have observed in our research with various kinds of HCIs, the fact that skillful usage of an HCI must first be learned provides us with an opportunity to systematically investigate the development of new modes of perceptual experiencing (Froese et al, 2012). An added methodological bonus is that this development can happen long after infancy, i.e., at a time when the typical adult participants' standard perceptual modalities have normally long been formed already.…”

Section: Introductionmentioning

confidence: 99%

Using minimal human-computer interfaces for studying the interactive development of social awareness

2014

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According to the enactive approach to cognitive science, perception is essentially a skillful engagement with the world. Learning how to engage via a human-computer interface (HCI) can therefore be taken as an instance of developing a new mode of experiencing. Similarly, social perception is theorized to be primarily constituted by skillful engagement between people, which implies that it is possible to investigate the origins and development of social awareness using multi-user HCIs. We analyzed the trial-by-trial objective and subjective changes in sociality that took place during a perceptual crossing experiment in which embodied interaction between pairs of adults was mediated over a minimalist haptic HCI. Since that study required participants to implicitly relearn how to mutually engage so as to perceive each other's presence, we hypothesized that there would be indications that the initial developmental stages of social awareness were recapitulated. Preliminary results reveal that, despite the lack of explicit feedback about task performance, there was a trend for the clarity of social awareness to increase over time. We discuss the methodological challenges involved in evaluating whether this trend was characterized by distinct developmental stages of objective behavior and subjective experience.

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Section: Introductionmentioning

confidence: 99%

Using minimal human-computer interfaces for studying the interactive development of social awareness

2014

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“…For example, Ruiz-Mirazo and Moreno (2004) propose that "basic autonomy" is the capacity of a system to manage the flow of matter and energy through it so that it can regulate internal self-constructive and interactive exchange processes under far-from-equilibrium thermodynamic conditions. This conception of autonomy, as referring to processes of selfproduction, must be distinguished from the term's common use in robotics, where it is employed more loosely as the capacity of a system to move and interact without depending on remote control by an operator (Froese et al, 2007). Nevertheless, it is the strong sense of autonomy that allows us to talk about a system as being an individual that acts in relation to its intrinsic goals, i.e., of being a genuine agent (Barandiaran et al, 2009), rather than being a system whose functions are heteronomously defined from the outside.…”

Section: Autonomymentioning

confidence: 99%

“…It is ALife, not traditional AI, which has the tools in order to investigate the general principles of the biologically embodied mind (Di Paolo, 2003;Pfeifer et al, 2007b;Froese and Ziemke, 2009). At the same time, given the increasing interest in the science of consciousness, it is likely that these efforts www.frontiersin.org will be complemented by a growing emphasis on synthesizing and using new kinds of immersive and life-like human-computer interfaces to explore life-and mind-as-it-could-be from the first-person perspective (Froese et al, 2012b).…”

Section: Behaviormentioning

confidence: 99%

The Past, Present, and Future of Artificial Life

et al. 2014

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For millennia people have wondered what makes the living different from the non-living. Beginning in the mid-1980s, artificial life has studied living systems using a synthetic approach: build life in order to understand it better, be it by means of software, hardware, or wetware. This review provides a summary of the advances that led to the development of artificial life, its current research topics, and open problems and opportunities. We classify artificial life research into 14 themes: origins of life, autonomy, self-organization, adaptation (including evolution, development, and learning), ecology, artificial societies, behavior, computational biology, artificial chemistries, information, living technology, art, and philosophy. Being interdisciplinary, artificial life seems to be losing its boundaries and merging with other fields.

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“…D'une certaine manière, ce quatrième courant est proche du premier mais y intègre les prémisses prises en compte par le troisième. On retrouverait alors l'idée initiale de l'intelligence artificielle mais en s'adressant au corps plus qu'à l'intellect (Froese et al 2011).…”

Section: Introductionunclassified

Intelligence artificielle : l’apport des paradigmes incarné

Loor¹,

Mille²,

Khamassi³

2015

intel

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Artificial Intelligence : the Contribution of Embodied Paradigms. This article has a double objective. The first is to present various proposals concerning an embodied approach to cognition make by the community of computer scientists and robotics. The second aim is to introduce a debate on their contributions and their limits, concerning the highly delicate questions of the construction of meaning, phenomenal consciousness or yet again the relations between mind, matter and organization. The first part of the article draws up a historical reminder of the initial aims of Artificial Intelligence, as well as the various orientations that have subsequently been adopted by this community. The next part positions the debate concerning the fundamental questions that Artificial Intelligence can, or cannot, study in order to reply to the hard questions in cognitive science, and in particular the interest or the limitations related to the use of an embodied approach in order to reply. The third part consists of detailing the embodied approach according to a structure in terms of families, defined by the domains or the various focal points of the neurosciences, psychology or biology. We provide a description of the principles on which each of them rests, and we identify the limits and the possibilities relative to the debate in question. The whole is synthesized by a conclusion which puts the presented research in perspective.

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Using Human–Computer Interfaces to Investigate ‘Mind-As-It-Could-Be’ from the First-Person Perspective

Cited by 27 publications

References 61 publications

Using minimal human-computer interfaces for studying the interactive development of social awareness

Using minimal human-computer interfaces for studying the interactive development of social awareness

The Past, Present, and Future of Artificial Life

Intelligence artificielle : l’apport des paradigmes incarné

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