Territorial Violence and Design, 1950-2010: A Human-Computer Study of Personal Space and Chatbot Interaction

Personal space is a human’s imaginary system of precaution and an important concept for exploring territoriality, but between humans and technology because machinic agencies transfer, relocate, enact and reenact territorially. Literatures of territoriality, violence and affect are uniquely brought together, with chatbots as the research object to argue that their ongoing development as artificial agents, and the ambiguity of violence they can engender, have broader ramifications for a socio-technical research programme. These literatures help to understand the interrelation of virtual and actual spatiality relevant to research involving chatrooms and internet forums, automated systems and processes, as well as human and machine agencies; because all of these spaces, methods and agencies involve the personal sphere. The thesis is an ethical tale of cruel techno-science that is performed through conceptualisations from the creative arts, constituting a PhD by practice. This thesis chronicles four chatbots, taking into account interventions made in fine art, design, fiction and film that are omitted from a history of agent technology. The thesis re-interprets Edward Hall’s work on proxemics, personal space and territoriality, using techniques of the bricoleur and rudiments (an undeveloped and speculative method of practice), to understand chatbot techniques such as the pick-up, their entrapment logics, their repetitions of hateful speech, their nonsense talk (including how they disorientate spatial metaphors), as well as how developers switch on and off their learning functionality. Semi-structured interviews and online forum postings with chatbot developers were used to expand and reflect on the rudimentary method. To urge that this project is timely is itself a statement of anxiety. Chatbots can manipulate, exceed, and exhaust a human understanding of both space and time. Violence between humans and machines in online and offline spaces is explored as an interweaving of agency and spatiality. A series of rudiments were used to probe empirical experiments such as the Prisoner’s Dilemma (Tucker, 1950). The spatial metaphors of confinement as a parable of entrapment, are revealed within that logic and that of chatbots. The ‘Obedience to Authority’ experiments (Milgram, 1961) were used to reflect on the roles played by machines which are then reflected into a discussion of chatbots and the experiments done in and around them. The agency of the experimenter was revealed in the machine as evidenced with chatbots which has ethical ramifications. The argument of personal space is widened to include the ways machinic territoriality and its violence impacts on our ways of living together both in the private spheres of our computers and homes, as well as in state-regulated conditions (Directive-3, 2003). The misanthropic aspects of chatbot design are reflected through the methodology of designing out of fear. I argue that personal spaces create misanthropic design imperatives, methods and ways of living. Furthermore, the technological agencies of personal spaces have a confining impact on the transient spaces of the non-places in a wider discussion of the lift, chatroom and car. The violent origins of the chatbot are linked to various imaginings of impending disaster through visualisations, supported by case studies in fiction to look at the resonance of how anxiety transformed into terror when considering the affects of violence

Can Computers Create Art?

This essay discusses whether computers, using Artificial Intelligence (AI), could create art. First, the history of technologies that automated aspects of art is surveyed, including photography and animation. In each case, there were initial fears and denial of the technology, followed by a blossoming of new creative and professional opportunities for artists. The current hype and reality of Artificial Intelligence (AI) tools for art making is then discussed, together with predictions about how AI tools will be used. It is then speculated about whether it could ever happen that AI systems could be credited with authorship of artwork. It is theorized that art is something created by social agents, and so computers cannot be credited with authorship of art in our current understanding. A few ways that this could change are also hypothesized.Comment: to appear in Arts, special issue on Machine as Artist (21st Century

Chatbot as a learning assistant: Factors influencing adoption and recommendation

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceSoon, it is expected that artificial intelligence (AI) may replace many jobs whose work is based in repetitive tasks. Considering the role that this technology will play in our lives over the next few years, it would be interesting to take advantage of its potential now and use it as a transformation agent in the educational system. This study aims to evaluate the main drivers for adoption and recommendation of chatbots as a learning assistant to students in higher education. The research uses an innovative model based on gamification affordance, support construct from the students control model, and performance expectance, hedonic motivation, and behavioural intention to adopt constructs from the well-known UTAUT2 model. The model was empirically assessed using structural equation modelling (SEM) based on 302 responses from an online survey conducted in a South American country, Brazil. Support and hedonic motivation were found to be the most significant drivers for behaviour intention to adopt a chatbot. To explain the antecedents of the intention to recommend a chatbot, support and behavioural intention to adopt were the most important drivers found. For scholars, this research brings new material for further exploration of individual drivers for technology adoption and recommendation. For practitioners, knowing the main drivers for adoption and recommendation of a chatbot enables them to develop a technology with higher chances of absorption in the market