Participatory Design of a Social Robot (So-bot) Toolkit for and with Adults with Autism

According to Autism-Europe, autism impacts around 5 million people in the EU. Recent research has shown that social robots, due to their deterministic nature, simplified appearance and technological capabilities, can enable robot- assisted therapy or act as assistive technology for empowering autistic individuals with daily household activities. As such, toolkits have emerged to enable researchers to prototype assistive social robots. In the design and research regarding such toolkits, there are gaps regarding robot designs, fundamental customization possibilities and especially the methodologies for operationalizing and scaffolding the co-design of social robots with vulnerable groups. In order to take a first step towards overcoming these research/design gaps and towards uncovering the right questions about them, the Co3 Project deals with an exploratory study involving the participatory design of a social robot toolkit for and with autistic adults. The project’s components have been co-designed, evaluated and tested with autistic adults at an autism care institute. The exploratory project has carved a toolkit of linkable social robot building blocks centered around which is a holistic, novel process for conducting social robot participatory design with cognitively impaired individuals. That process has artefacts meticulously designed with the participants in mind–giving the artefacts sufficient scaffolding to make co- design navigable by bridging the imaginative or social impairments of involved participants. The project aims to inspire a movement of scalable, democratized social robot co-design, which can evoke questions on what human-robot interactions to design in the first place and which can empower egalitarian inclusiveness in (co-)design of all users

Enactivism and Robotic Language Acquisition: A Report from the Frontier

In this article, I assess an existing language acquisition architecture, which was deployed in linguistically unconstrained human–robot interaction, together with experimental design decisions with regard to their enactivist credentials. Despite initial scepticism with respect to enactivism’s applicability to the social domain, the introduction of the notion of participatory sense-making in the more recent enactive literature extends the framework’s reach to encompass this domain. With some exceptions, both our architecture and form of experimentation appear to be largely compatible with enactivist tenets. I analyse the architecture and design decisions along the five enactivist core themes of autonomy, embodiment, emergence, sense-making, and experience, and discuss the role of affect due to its central role within our acquisition experiments. In conclusion, I join some enactivists in demanding that interaction is taken seriously as an irreducible and independent subject of scientific investigation, and go further by hypothesising its potential value to machine learning.Peer reviewedFinal Published versio

Universal Robots as ‘Solutions’ to Wicked Problems: Debunking a Robotic Myth, Late breaking abstract, HRI’11, Lausanne, Switzerland.

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