Social Situatedness: Vygotsky and Beyond

The concept of ‘social situatedness’, i.e. the idea that the development of individual intelligence requires a social (and cultural) embedding, has recently received much attention in cognitive science and artificial intelligence research. The work of Lev Vygotsky who put forward this view already in the 1920s has influenced the discussion to some degree, but still remains far from well known. This paper therefore aims to give an overview of his cognitive development theory and discuss its relation to more recent work in primatology and socially situated artificial intelligence, in particular humanoid robotics

Close encounters : spatial distances between people and a robot of mechanistic appearance

Peer reviewe

CHI and the future robot enslavement of humankind: a retrospective

As robots from the future, we are compelled to present this important historical document which discusses how the systematic investigation of interactive technology facilitated and hastened the enslavement of mankind by robots during the 21st Century. We describe how the CHI community, in general, was largely responsible for this eventuality, as well as how specific strands of interaction design work were key to the enslavement. We also mention the futility of some reactionary work emergent in your time that sought to challenge the inevitable subjugation. We conclude by congratulating the CHI community for your tireless work in promoting and supporting our evil robot agenda

Autonomous behaviour in tangible user interfaces as a design factor

PhD ThesisThis thesis critically explores the design space of autonomous and actuated artefacts, considering how autonomous behaviours in interactive technologies might shape and influence users’ interactions and behaviours. Since the invention of gearing and clockwork, mechanical devices were built that both fascinate and intrigue people through their mechanical actuation. There seems to be something magical about moving devices, which draws our attention and piques our interest. Progress in the development of computational hardware is allowing increasingly complex commercial products to be available to broad consumer-markets. New technologies emerge very fast, ranging from personal devices with strong computational power to diverse user interfaces, like multi-touch surfaces or gestural input devices. Electronic systems are becoming smaller and smarter, as they comprise sensing, controlling and actuation. From this, new opportunities arise in integrating more sensors and technology in physical objects. These trends raise some specific questions around the impacts smarter systems might have on people and interaction: how do people perceive smart systems that are tangible and what implications does this perception have for user interface design? Which design opportunities are opened up through smart systems? There is a tendency in humans to attribute life-like qualities onto non-animate objects, which evokes social behaviour towards technology. Maybe it would be possible to build user interfaces that utilise such behaviours to motivate people towards frequent use, or even motivate them to build relationships in which the users care for their devices. Their aim is not to increase the efficiency of user interfaces, but to create interfaces that are more engaging to interact with and excite people to bond with these tangible objects. This thesis sets out to explore autonomous behaviours in physical interfaces. More specifically, I am interested in the factors that make a user interpret an interface as autonomous. Through a review of literature concerned with animated objects, autonomous technology and robots, I have mapped out a design space exploring the factors that are important in developing autonomous interfaces. Building on this and utilising workshops conducted with other researchers, I have vi developed a framework that identifies key elements for the design of Tangible Autonomous Interfaces (TAIs). To validate the dimensions of this framework and to further unpack the impacts on users of interacting with autonomous interfaces I have adopted a ‘research through design’ approach. I have iteratively designed and realised a series of autonomous, interactive prototypes, which demonstrate the potential of such interfaces to establish themselves as social entities. Through two deeper case studies, consisting of an actuated helium balloon and desktop lamp, I provide insights into how autonomy could be implemented into Tangible User Interfaces. My studies revealed that through their autonomous behaviour (guided by the framework) these devices established themselves, in interaction, as social entities. They furthermore turned out to be acceptable, especially if people were able to find a purpose for them in their lives. This thesis closes with a discussion of findings and provides specific implications for design of autonomous behaviour in interfaces

The ITALK project : A developmental robotics approach to the study of individual, social, and linguistic learning

This is the peer reviewed version of the following article: Frank Broz et al, “The ITALK Project: A Developmental Robotics Approach to the Study of Individual, Social, and Linguistic Learning”, Topics in Cognitive Science, Vol 6(3): 534-544, June 2014, which has been published in final form at doi: http://dx.doi.org/10.1111/tops.12099 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving." Copyright © 2014 Cognitive Science Society, Inc.This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the framework of human linguistic and cognitive development, we focus on how three central types of learning interact and co-develop: individual learning about one's own embodiment and the environment, social learning (learning from others), and learning of linguistic capability. Our primary concern is how these capabilities can scaffold each other's development in a continuous feedback cycle as their interactions yield increasingly sophisticated competencies in the agent's capacity to interact with others and manipulate its world. Experimental results are summarized in relation to milestones in human linguistic and cognitive development and show that the mutual scaffolding of social learning, individual learning, and linguistic capabilities creates the context, conditions, and requisites for learning in each domain. Challenges and insights identified as a result of this research program are discussed with regard to possible and actual contributions to cognitive science and language ontogeny. In conclusion, directions for future work are suggested that continue to develop this approach toward an integrated framework for understanding these mutually scaffolding processes as a basis for language development in humans and robots.Peer reviewe

Robot Rights? Let's Talk about Human Welfare Instead

The 'robot rights' debate, and its related question of 'robot responsibility', invokes some of the most polarized positions in AI ethics. While some advocate for granting robots rights on a par with human beings, others, in a stark opposition argue that robots are not deserving of rights but are objects that should be our slaves. Grounded in post-Cartesian philosophical foundations, we argue not just to deny robots 'rights', but to deny that robots, as artifacts emerging out of and mediating human being, are the kinds of things that could be granted rights in the first place. Once we see robots as mediators of human being, we can understand how the `robots rights' debate is focused on first world problems, at the expense of urgent ethical concerns, such as machine bias, machine elicited human labour exploitation, and erosion of privacy all impacting society's least privileged individuals. We conclude that, if human being is our starting point and human welfare is the primary concern, the negative impacts emerging from machinic systems, as well as the lack of taking responsibility by people designing, selling and deploying such machines, remains the most pressing ethical discussion in AI.Comment: Accepted to the AIES 2020 conference in New York, February 2020. The final version of this paper will appear in Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Societ