Applying the “human-dog interaction” metaphor in human-robot interaction: a co-design practice engaging healthy retired adults in China

This research adopts a Deweyan pragmatist approach and “research through design” methods to explore the use of human-dog interaction as a model for developing human-robot interaction. This research asks two questions: (1) In what way could the human-dog interaction model inform the design of social robots to meet the needs of older adults? (2) What role could aesthetic, functional and behavioural aspects of the human-dog interaction play in older adults’ interaction with social robots? Driven by the pragmatist approach, this thesis uses the dog-human interaction model as a metaphor in this thesis. The research carried out four studies in two parts. The first part of the practice includes two explorative studies to identify aspects of human-dog interaction that could inform the design of social robots for older adults. Study 1 explores aspects of human-dog interaction that could inform the design of human-robot interaction for retired adults. Study 2 explores a group of healthy retired adults’ attitudes and preferences toward social/assistive robots in China. The findings suggest that, first, the pairing and training process provides a framework for building personalised social robots in terms of form, function, interaction, and stakeholders involved. Second, the cooperative interaction between a human and a guide dog provides insights for building social robots that take on leading roles in interactions. The robot-as-dog metaphor offers a new perspective to rethink the design process of social robots based on the role dog trainer, owner, and the dog plays in human-dog interaction. In the second part of the practice, two more studies are conducted to articulate the usefulness of the designer-as-trainer-metaphor, and the personalisation-astraining-metaphor, using participatory co-designing methods. Engaging both retired adult participants and roboticists as co-designers to investigate further how aesthetic aspects, functional features, and interactive behaviours characterising dog-human interaction could inform how older adults can interact with social robots. Study 3 involved co-designing a robot probe with roboticists and later deploying it in a participant’s home using the Wizard of Oz method. The personalisation-as-training metaphor helps facilitate a critical discussion for the interdisciplinary co-design process. It broadens the design space when addressing the technical limitation of the probe’s camera through reflection-in-action. Study 4 engages the retired adults as co-designers to envision what characteristics they would like robots to have, with attention to the robot’s form, the functions that the robot can perform and how the robot interacts with users. The study applies techniques such as sketching and storyboarding to understand how retired adults make sense of these core elements that are key to developing social/assistive robots for positive ageing. This thesis makes two main contributions to knowledge in human-robot interaction and interaction design research. Firstly, it provides an applied example using the robot-as-dog metaphor as a tool to probe human-robot interactions in a domestic context. Secondly, to show dog-human interaction model is applicable to different levels of abstraction for the co-designing process that involves the roboticists and the end-users. The outcome shows a reflective practice that engages metaphors to facilitate communication across disciplines in the co-design process

Towards a Legal end Ethical Framework for Personal Care Robots. Analysis of Person Carrier, Physical Assistant and Mobile Servant Robots.

Technology is rapidly developing, and regulators and robot creators inevitably have to come to terms with new and unexpected scenarios. A thorough analysis of this new and continuosuly evolving reality could be useful to better understand the current situation and pave the way to the future creation of a legal and ethical framework. This is clearly a wide and complex goal, considering the variety of new technologies available today and those under development. Therefore, this thesis focuses on the evaluation of the impacts of personal care robots. In particular, it analyzes how roboticists adjust their creations to the existing regulatory framework for legal compliance purposes. By carrying out an impact assessment analysis, existing regulatory gaps and lack of regulatory clarity can be highlighted. These gaps should of course be considered further on by lawmakers for a future legal framework for personal care robot. This assessment should be made first against regulations. If the creators of the robot do not encounter any limitations, they can then proceed with its development. On the contrary, if there are some limitations, robot creators will either (1) adjust the robot to comply with the existing regulatory framework; (2) start a negotiation with the regulators to change the law; or (3) carry out the original plan and risk to be non-compliant. The regulator can discuss existing (or lacking) regulations with robot developers and give a legal response accordingly. In an ideal world, robots are clear of impacts and therefore threats can be responded in terms of prevention and opportunities in form of facilitation. In reality, the impacts of robots are often uncertain and less clear, especially when they are inserted in care applications. Therefore, regulators will have to address uncertain risks, ambiguous impacts and yet unkown effects

McNair Scholars Research Journal Volume XV

https://commons.stmarytx.edu/msrj/1014/thumbnail.jp

McNair Scholars Research Journal Volume XV

https://commons.stmarytx.edu/msrj/1014/thumbnail.jp

Expectations and expertise in artificial intelligence: specialist views and historical perspectives on conceptualisation, promise, and funding

Artificial intelligence’s (AI) distinctiveness as a technoscientific field that imitates the ability to think went through a resurgence of interest post-2010, attracting a flood of scientific and popular expectations as to its utopian or dystopian transformative consequences. This thesis offers observations about the formation and dynamics of expectations based on documentary material from the previous periods of perceived AI hype (1960-1975 and 1980-1990, including in-between periods of perceived dormancy), and 25 interviews with UK-based AI specialists, directly involved with its development, who commented on the issues during the crucial period of uncertainty (2017-2019) and intense negotiation through which AI gained momentum prior to its regulation and relatively stabilised new rounds of long-term investment (2020-2021). This examination applies and contributes to longitudinal studies in the sociology of expectations (SoE) and studies of experience and expertise (SEE) frameworks, proposing a historical sociology of expertise and expectations framework. The research questions, focusing on the interplay between hype mobilisation and governance, are: (1) What is the relationship between AI practical development and the broader expectational environment, in terms of funding and conceptualisation of AI? (2) To what extent does informal and non-developer assessment of expectations influence formal articulations of foresight? (3) What can historical examinations of AI’s conceptual and promissory settings tell about the current rebranding of AI? The following contributions are made: (1) I extend SEE by paying greater attention to the interplay between technoscientific experts and wider collective arenas of discourse amongst non-specialists and showing how AI’s contemporary research cultures are overwhelmingly influenced by the hype environment but also contribute to it. This further highlights the interaction between competing rationales focusing on exploratory, curiosity-driven scientific research against exploitation-oriented strategies at formal and informal levels. (2) I suggest benefits of examining promissory environments in AI and related technoscientific fields longitudinally, treating contemporary expectations as historical products of sociotechnical trajectories through an authoritative historical reading of AI’s shifting conceptualisation and attached expectations as a response to availability of funding and broader national imaginaries. This comes with the benefit of better perceiving technological hype as migrating from social group to social group instead of fading through reductionist cycles of disillusionment; either by rebranding of technical operations, or by the investigation of a given field by non-technical practitioners. It also sensitises to critically examine broader social expectations as factors for shifts in perception about theoretical/basic science research transforming into applied technological fields. Finally, (3) I offer a model for understanding the significance of interplay between conceptualisations, promising, and motivations across groups within competing dynamics of collective and individual expectations and diverse sources of expertise

Planetary Science Vision 2050 Workshop : February 27–28 and March 1, 2017, Washington, DC

This workshop is meant to provide NASA’s Planetary Science Division with a very long-range vision of what planetary science may look like in the future.Organizer, Lunar and Planetary Institute ; Conveners, James Green, NASA Planetary Science Division, Doris Daou, NASA Planetary Science Division ; Science Organizing Committee, Stephen Mackwell, Universities Space Research Association [and 14 others]PARTIAL CONTENTS: Exploration Missions to the Kuiper Belt and Oort Cloud--Future Mercury Exploration: Unique Science Opportunities from Our Solar System’s Innermost Planet--A Vision for Ice Giant Exploration--BAOBAB (Big and Outrageously Bold Asteroid Belt) Project--Asteroid Studies: A 35-Year Forecast--Sampling the Solar System: The Next Level of Understanding--A Ground Truth-Based Approach to Future Solar System Origins Research--Isotope Geochemistry for Comparative Planetology of Exoplanets--The Moon as a Laboratory for Biological Contamination Research--“Be Careful What You Wish For:” The Scientific, Practical, and Cultural Implications of Discovering Life in Our Solar System--The Importance of Particle Induced X-Ray Emission (PIXE) Analysis and Imaging to the Search for Life on the Ocean Worlds--Follow the (Outer Solar System) Water: Program Options to Explore Ocean Worlds--Analogies Among Current and Future Life Detection Missions and the Pharmaceutical/ Biomedical Industries--On Neuromorphic Architectures for Efficient, Robust, and Adaptable Autonomy in Life Detection and Other Deep Space Missions

Bowdoin Orient v.134, no.1-24 (2004-2005)

https://digitalcommons.bowdoin.edu/bowdoinorient-2000s/1005/thumbnail.jp