8 research outputs found

    Charting Disaster Recovery via Google Street View: A Social Science Perspective on Challenges Raised by the Fukushima Nuclear Disaster

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    There is increasing interest in using Google Street View (GSV) for research purposes, particularly with regard to “virtually auditing” the built environment to assess environmental quality. Research in this field to date generally suggests GSV is a reliable means of understanding the “real world” environment. But limitations around the dates and resolution of images have been identified. An emerging strand within this literature is also concerned with the potential of GSV to understand recovery post-disaster. Using the GSV data set for the evacuated area around the Fukushima Dai’ichi nuclear power plant as a case study, this article evaluates GSV as a means of assessing disaster recovery in a dynamic situation with remaining uncertainty and a significant value and emotive dimension. The article suggests that GSV does have value in giving a high-level overview of the post-disaster situation and has potential to track recovery and resettlement over time. Drawing on social science literature relating to Fukushima, and disasters more widely, the article also argues it is imperative for researchers using GSV to reflect carefully on the wider socio-cultural contexts that are often not represented in the photo montage

    Towards Modeling Social-Cognitive Mechanisms in Robots to Facilitate Human-Robot Teaming

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    For effective human-robot teaming, robots must gain the appropriate social-cognitive mechanisms that allow them to function naturally and intuitively in social interactions with humans. However, there is a lack of consensus on social cognition broadly, and how to design such mechanisms for embodied robotic systems. To this end, recommendations are advanced that are drawn from HRI, psychology, robotics, neuroscience and philosophy as well as theories of embodied cognition, dual process theory, ecological psychology, and dynamical systems. These interdisciplinary and multi-theoretic recommendations are meant to serve as integrative and foundational guidelines for the design of robots with effective social-cognitive mechanisms. Copyright 2013 by Human Factors and Ergonomics Society, Inc
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