436,264 research outputs found

    How to feed the cities? Co-creating inclusive, healthy and sustainable city region food systems

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    People drive transitions. Current urban living conditions, specifically food systems, challenge the health, wellbeing and coherence of individuals and whole societies, and for effective change toward resilient communities, people need to reinvent the way they produce, distribute and consume food. Consequently, in their communities' people are creating foodscapes and governing the transition toward sustainable local food systems. Here, we introduce a conceptual framework to develop this transformation through empowering the urban multi-stakeholder society as the agent of this process. To do so, we reviewed scientific evidence and experiences from seven selected City Regions (Albacete, Baku, Dresden, Izmir, Ljubljana, Megara, and Valparaiso) as case studies and conducted a SWOT analysis to explore the capacity of food systems to enhance multi-functionality of urban landscapes, with special focus on social cohesion and quality of life. We grasp existing policies; hone them and leverage policies and strategies toward human-centered actions for future proofing food systems.Peer Reviewe

    An intelligent robotic aid system for human services

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    The long term goal of our research at the Intelligent Robotic Laboratory at Vanderbilt University is to develop advanced intelligent robotic aid systems for human services. As a first step toward our goal, the current thrusts of our R&D are centered on the development of an intelligent robotic aid called the ISAC (Intelligent Soft Arm Control). In this paper, we describe the overall system architecture and current activities in intelligent control, adaptive/interactive control and task learning

    A human-centered approach to AI ethics: a perspective from cognitive science

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    This chapter explores a human-centered approach to AI and robot ethics. It demonstrates how a human-centered approach can resolve some problems in AI and robot ethics that arise from the fact that AI systems and robots have cognitive states, and yet have no welfare, and are not responsible. In particular, the approach allows that violence toward robots can be wrong even if robots cannot be harmed. More importantly, the approach encourages people to shift away from designing robots as if they were human ethical deliberators. Ultimately, the cognitive states of AI systems and robots may have a role to play in the proper ethical analysis of situations involving them, even if it is not by virtue of conferring welfare or responsibilities on those systems or robots

    Human-Centered Design of a Collaborative Robotic System for the Shoe-Polishing Process

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    Demand for automated processes in the manufacturing industry is now shifting toward flexible, human-centered systems that combine productivity and high product quality, thus combining the advantages of automated and robotic systems with the high-value-added skills of operators and craftsmen. This trend is even more crucial for small and medium-sized enterprises operating in the “Made in Italy” fashion industry. The paper presents the study, simulation, and preliminary testing of a collaborative robotic system for shoe polishing that can reduce manual labor by limiting it to the finishing stage of the process, where the aesthetic result is fully achieved, with a benefit also in terms of ergonomics for the operator. The influence of process parameters and design solutions are discussed by presenting preliminary test results and providing hints for future developments

    Design methods for systemic design research

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    Systemic design is distinguished from user-oriented design practice in terms of its expansive boundaries, its embrace of social complexity, and its preferred objective of systemic integration rather than market differentiation. Systemic design is concerned with higher-order socially-organized systems that encompass multiple subsystems in a complex policy, organizational or product-service context. By integrating systems thinking and its methods, systemic design brings human-centered design to complex, multi-stakeholder service systems as those found in industrial networks, transportation, medicine and healthcare. It adapts from known design competencies – form and process reasoning, social and generative research methods, and sketching and visualization practices – to describe, map, propose and reconfigure complex services and systems. The recent development of systemic design as a research-based practice draws on long-held precedents in the system sciences toward representation of complex social and enterprise systems. A precedent article, published as Systemic Design Principles for Complex Social Systems (Jones, 2014) established an axiomatic and epistemological basis for complementary principles shared between design reasoning and systems theory. The current paper aims to establish a basis for identifying shared methods (techne, in Aristotelian terms) and action practice (or phronesis)

    HOW HUMAN-CENTERED DESIGN AFFECTS THE WORKPLACE

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    This qualitative study was designed to explore the impact a workplace environment has on employees’ well-being and productivity. The research identified the themes of flattening, perception, unflattening, and well-being from a multidisciplinary approach including art education, fine art, architecture, medicine, philosophy, and science. Flatness is a state, a behavior that occurs when human perception and consciousness are narrowed, blocking sensory information that is not pertinent to a current task. Behavior that is perpetuated by ingrained societal systems and exacerbated by personal, professional, and financial stressors that can impact the human experience. Flattened areas are addressed in this study through a human-centered design approach that used phenomenology as a framework for analysis. Awareness developed from challenging perception, encouraged a process of unflattening toward well-being. Interpretation of themes found in the Chapter II Literature Review were used to conduct a study at a body therapeutics clinic utilizing a design-based research method that focuses on problem solving using an empirical process control procedure of (1) analyze, (2) plan, (3) design, (4) build, (5) test, and (6) deploy. A phenomenological attitude was exercised in observing and analyzing results of participant responses to the change of space and their altered perceptions. The design interventions solved functional issues for the business using iterative methods planned and carried out by the participants and facilitated by research directives. The findings aligned within the themes of flattening, perception, unflattening, and well-being and increased human-centered design benefits of productivity, creativity, collaboration, self-agency, and well-being in and out of the workplace. This research provided new data which can be used to understand how participants may react to human-centered design interventions in an established work environment

    Design research methods in systematic design

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    Systemic design is distinguished from user-oriented and service design practices in several key respects: The expansion and negotiation of system boundaries to frame the design situation, the intentional embrace of sociotechnical complexity, and strategies of systemic integration rather than market differentiation. Systemic design is concerned with higher-order socially-organized systems that encompass multiple subsystems in policy, organizational or product-service contexts. By integrating systems thinking and its methods, systemic design brings human-centered design to complex, multi-stakeholder service systems as those found in industrial networks, transportation, medicine and healthcare. It adapts from known design competencies - form and process reasoning, social and generative research methods, and sketching and visualization practices - to describe, map, propose and reconfigure complex services and systems. The recent development of systemic design as a research-based practice draws on long-held precedents in the system sciences toward representation of complex social and enterprise systems. A precedent article (Jones, 2014) established an axiomatic and epistemological basis for complementary principles shared between design reasoning and systems theory. The current paper aims to establish a basis for identifying shared methods (techne) and action practice (or phronesis)

    Spatial Aspects of Metaphors for Information: Implications for Polycentric System Design

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    This dissertation presents three innovations that suggest an alternative approach to structuring information systems: a multidimensional heuristic workspace, a resonance metaphor for information, and a question-centered approach to structuring information relations. Motivated by the need for space to establish a question-centered learning environment, a heuristic workspace has been designed. Both the question-centered approach to information system design and the workspace have been conceived with the resonance metaphor in mind. This research stemmed from a set of questions aimed at learning how spatial concepts and related factors including geography may play a role in information sharing and public information access. In early stages of this work these concepts and relationships were explored through qualitative analysis of interviews centered on local small group and community users of geospatial data. Evaluation of the interviews led to the conclusion that spatial concepts are pervasive in our language, and they apply equally to phenomena that would be considered physical and geographic as they do to cognitive and social domains. Rather than deriving metaphorically from the physical world to the human, spatial concepts are native to all dimensions of human life. This revised view of the metaphors of space was accompanied by a critical evaluation of the prevailing metaphors for information processes, the conduit and pathway metaphors, which led to the emergence of an alternative, resonance metaphor. Whereas the dominant metaphors emphasized information as object and the movement of objects and people through networks and other limitless information spaces, the resonance metaphor suggests the existence of multiple centers in dynamic proximity relationships. This pointed toward the creation of a space for autonomous problem solving that might be related to other spaces through proximity relationships. It is suggested that a spatial approach involving discrete, discontinuous structures may serve as an alternative to approaches involving movement and transportation. The federation of multiple autonomous problem-solving spaces, toward goals such as establishing communities of questioners, has become an objective of this work. Future work will aim at accomplishing this federation, most likely by means of the IS0 Topic Maps standard or similar semantic networking strategies

    Human Factors Engineering Requirements for the International Space Station - Successes and Challenges

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    Advanced technology coupled with the desire to explore space has resulted in increasingly longer human space missions. Indeed, any exploration mission outside of Earth's neighborhood, in other words, beyond the moon, will necessarily be several months or even years. The International Space Station (ISS) serves as an important advancement toward executing a successful human space mission that is longer than a standard trip around the world or to the moon. The ISS, which is a permanently occupied microgravity research facility orbiting the earth, will support missions four to six months in duration. In planning for the ISS, the NASA developed an agency-wide set of human factors standards for the first time in a space exploration program. The Man-Systems Integration Standard (MSIS), NASA-STD-3000, a multi-volume set of guidelines for human-centered design in microgravity, was developed with the cooperation of human factors experts from various NASA centers, industry, academia, and other government agencies. The ISS program formed a human factors team analogous to any major engineering subsystem. This team develops and maintains the human factors requirements regarding end-to-end architecture design and performance, hardware and software design requirements, and test and verification requirements. It is also responsible for providing program integration across all of the larger scale elements, smaller scale hardware, and international partners
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