In this article I propose that a postphenomenological approach to science and technology can open new analytical understandings of how material artifacts, embodiment and social agency co-produce learned perceptions of objects. In particle physics, physicists work in huge groups of scientists from many cultural backgrounds. Communication to some extent depends on material hermeneutics of flowcharts, models and other visual presentations. As it appears in an examination of physicists’ scrutiny of visual renderings of different parts of a detector, perceptions vary in (...) relation to social and bodily experiences. Vision in physics has seemingly allowed an objective perception at a convenient distance of the body. This article challenges this view and proposes that the variations can be analysed as cultural at two echelons with the help of a postphenomenological approach combined with cultural psychological theory of artifacts. A third echelon presumably constitutes the phenomenological limit to culture in science. Even this last resort of subjectivity can be embraced by a postphenomenological approach. The process of culturalization in physics can be defined as a process of situating knowledge in a body whose continuous learning of micro-and macro perceptions makes scientific renderings unstable. Taken together postphenomenology, following the distinctions between body one and body two, and combined with cultural psychological learning theory, enables new insight into what constitutes culture in science. (shrink)

What is the relation between material hermeneutics, bodies, perception and materials? In this article, I shall argue cultural learning processes tie them together. Three aspects of learning can be identified in cultural learning processes. First, all learning is tied to cultural practices. Second, all learning in cultural practice entangle humans’ ability to recognize a material world conceptually, and finally the boundaries of objects, the object we perceive, are set by shifting material-conceptual entanglements. All these aspects are important for material hermeneutics (...) in a technoculture. Postphenomenology has expanded the connection between hermeneutics and phenomenology by focusing on studies of how perception, bodies, materials, the sensual realm and hermeneutics are entwined when we perceive the world through technologies. Following Don Ihde, hermeneutics expands beyond interpretation of texts in the humanities. We can interpret materials as for instance animal bones to make new sense of the Bible. New technologies have expanded material hermeneutics, when we can ‘look’ into bodies and ‘perceive’ below surfaces. Interpretation via such tools in a technoculture, both limit and extend our hermeneutic horizons in the humanities as well as in the natural sciences. Furthermore, from the perspective of cultural learning processes, material hermeneutics in the human and natural sciences depend on more than mediating instruments. Material hermeneutics also involve the material cultural environments of scientific apparatuses and the scientists’ processes of learning in cultural practice. This changes the focus from relations in postphenomenology to processes of relations. (shrink)

Will robots ever be able to learn like humans? To answer that question, one first needs to ask: what is learning? Hubert and Stuart Dreyfus had a point when they claimed that computers and robots would never be able to learn like humans because human learning, after an initial phase of rule-based learning, is uncertain, context sensitive and intuitive under contract F49620-C-0063 with the University of California) Berkeley, February 1980.. Washington, DC: Storming Media. https://www.stormingmedia.us/15/1554/A155480.html. Accessed 10 Oct 2017, 1980). I (...) would add that learning also builds on prior learning, and that from the outset, human learning is a socio-cultural materially grounded collective epistemology. This posthuman acknowledgement shifts the focus from the individual learner to learning within collective phenomena. Dreyfus and Dreyfus do not seem to emphasise the essentially social and cultural nature of the human condition. Learning theory, new materialism and postphenomenology have emphasised in different ways the materially based socio-cultural nature of human learning. They thereby point towards a ‘posthuman’ learning that is far from the machine-like or enhanced creature envisioned by singularists. Until robots are essentially social and ground their epistemologies in socio-cultural materiality, I suggest that human-like AI is not possible. (shrink)

Robots are simultaneously real machines and technical images that challenge our sense of self. I discuss the movie Ex Machina by director Alex Garland. The robot Ava, played by Alicia Vikander, is a rare portrait of what could be interpreted as a feminist robot. Though she apparently is created as the dream of the ‘perfect woman’, sexy and beautiful, she also develops and urges to free herself from the slavery of her creator, Nathan Bateman. She is a robot created along (...) the perfect dimensions as a Vitruvian robot but is also a creature which could be interpreted as a human being. However, the point I want to raise is not whether Ava’s reaction to robot slavery is justified or not but how her portrait raises questions about the blurred lines between reality and fiction when we discuss our robotic future. A real version of Ava would not last long in a human world because she is basically a solipsist, who does not really care about humans. She cannot co-create the line humans walk along. The robots created as ‘perfect women’ today are very far from the ideal image of Ava. They are sexist, primitively normative and clearly ‘wax-doll machines’. So though Ava’s dimensions are perfect she, like the Vitruvian Man, remains a fiction. In real life, however, we may have to deal with an increasing solipsism stemming from people engaging with machines like sex robots. In this case, it is human and not robotic solipsism we need to worry about. (shrink)

What is the strength of anthropological fieldwork when we want to understand human technologies? In this article we argue that anthropological fieldwork can be understood as a process of gaining insight into different contextualisations in practiced places that will open up new understandings of technologies in use, e.g., technologies as multistable ontologies. The argument builds on an empirical study of robots at a Danish rehabilitation centre. Ethnographic methods combined with anthropological learning processes open up new way for exploring how robots (...) enter into professional practices and change values, social relations and materialities. Though substantial funding has been invested in developing health service robots, few studies have been undertaken that explore human-robot interactions as they play out in everyday practice. We argue that the complex learning processes involve not only so-called end-users but also staff, management, doings and discourse in a complex amalgamation of materials and values. (shrink)

In this text Hasse presents a new, inclusive, posthuman learning theory, designed to keep up with the transformations of human learning resulting from new technological experiences, as well as considering the expanding role of cyborg devices and robots in learning. This ground-breaking book draws on research from across psychology, education, and anthropology to present a truly interdisciplinary examination of the relationship between technology, learning and humanity. Posthumanism questions the self-evident status of human beings by exploring how technology is changing what (...) can be categorised as "human". In this book, the author applies a posthumanist lens to traditional learning theory, challenging conventional understanding of what a human learner is, and considering how technological advances are changing how we think about this question. Throughout the book Hasse uses vignettes of her own research and that of other prominent academics to exemplify what technology can tell us about how we learn and how this can be observed in real-life settings. Posthumanist Learning is essential reading for students and researchers of posthumanism and learning theory from a variety of backgrounds, including psychology, education, anthropology, robotics and philosophy. (shrink)