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Auto-confrontation: an evolving methodology for reflective practice and transformative insight in the age of adaptive tech development
- Deborah Forster, Research Specialist, Contextual Robotics Institute, Affiliate Faculty, Design Lab, UC San Diego, La Jolla CA 92093 USA
- Mikael Wahlström, Senior Scientist, Human factors, virtual and augmented reality, VTT Technical Research Centre of Finland, Espoo, Finland
- Steven Rick, PhD Student, Computer Science & Engineering Design Lab - Qualcomm Institute, UC San Diego La Jolla CA 92093 USA
- Erwin Boer, Entropy Control Inc. Cognitive Robotics, TU Delft and Institute for Transportation Studies, University of Leeds
The progressively cyber-physical world is transforming the way we work and live. Increasingly pervasive computational capabilities create streams of interaction dynamics, sensor data, and more, leaving behind captured traces of past activity. These traces present an opportunity for researchers and designers to not only analyze behavior aligned with other data stream but to prompt users, confronted with their own activity, to engage in collaborative analysis and self-reflection on their sense-making practices.
This workshop addresses the evolving possibilities of auto-confrontation methods, especially now that technologies such as VR, teleoperation, sensor networks and deep learning providing new means of data collection and analysis. The development of autonomous systems, AI-assisted work, and various forms of feedback/coaching, in turn, set new demands on design and worker skills, giving justification to methodological development. Increasingly, multimodal sensor networks capture multiple continuous data streams at high temporal resolution offering a window on extra- and intra-somatic activity that is typically below the threshold of conscious awareness and mostly out of reach of verbal self report (think saccadic eye movement, heart-rate variability, etc.) The disruptive opportunity in integrating more open-ended subjective reflections into the research toolkits is that it may yield new insight into the relevance of sense-making to safety-critical behavior. The aim is to provide a forum for scholars applying auto-confrontation in various domains of collaborative work, ranging from safety-critical work, learning and education, to expressive arts.
The particular aim is in the development of new knowledge and insights that emerge from bridging the pedagogical and ethnographic auto-confrontation approaches within the context of recent digital transformations.
The organizers span a range of domains in which this methodology is currently in use - autonomous ship navigation, robotic surgery, driving research and autonomous controller development, education, design, and healthcare information technology. Posters will be solicited from participants encouraging student researchers to present work-in-progress.