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Auflistung nach Schlagwort "Sensemaking"

1 - 4 von 4
  • Zeitschriftenartikel
    Sensemaking in Intelligent Health Data Analytics
    (KI - Künstliche Intelligenz: Vol. 29, No. 2, 2015) Boman, Magnus; Sanches, Pedro
    A systemic model for making sense of health data is presented, in which networked foresight complements intelligent data analytics. Data here serves the goal of a future systems medicine approach by explaining the past and the current, while foresight can serve by explaining the future. Anecdotal evidence from a case study is presented, in which the complex decisions faced by the traditional stakeholder of results—the policymaker—are replaced by the often mundane problems faced by an individual trying to make sense of sensor input and output when self-tracking wellness. The conclusion is that the employment of our systemic model for successful sensemaking integrates not only data with networked foresight, but also unpacks such problems and the user practices associated with their solutions.
  • Zeitschriftenartikel
    Sensing Home: Designing an Open Tool That Lets People Collect and Interpret Simple Sensor Data from Their Homes
    (i-com: Vol. 17, No. 2, 2018) Berger, Arne; Kurze, Albrecht; Totzauer, Sören; Storz, Michael; Lefeuvre, Kevin; Bischof, Andreas; Freiermuth, Mira
    The Internet of Things in the home is a design space with huge potential. With sensors getting smaller and cheaper, smart sensor equipped objects will become an integral, preinstalled part of the future home. With this article we will reflect on Sensing Home, a design tool to explore sensors in the home together with people. Sensing Home allows people to integrate sensors and connectivity into mundane domestic products in order to make them smart. As such, it can be used by people to experience and explore sensors in the home and daily life. They may explore possible use cases, appropriate sensor technology, and learn about this technology through use. At the same time people may also be empowered to understand the issues and implications of sensors in the home. We present the design rationale of Sensing Home, five usage examples of how Sensing Home allowed people to explore sensor technology, and the deployment of Sensing Home together with a self-developed group discussion method to empower people to understand the benefits and pitfalls of sensors in their home. The article ends with a brief reflection whether Sensing Home is a probe or a toolkit.
  • Zeitschriftenartikel
    Sol: An Agent-Based Framework for Cyber Situation Awareness
    (KI - Künstliche Intelligenz: Vol. 26, No. 2, 2012) Bradshaw, Jeffrey M.; Carvalho, Marco; Bunch, Larry; Eskridge, Tom; Feltovich, Paul J.; Johnson, Matt; Kidwell, Dan
    In this article, we describe how we augment human perception and cognition through Sol, an agent-based framework for distributed sensemaking. We describe how our visualization approach, based on IHMC’s OZ flight display, has been leveraged and extended in our development of the Flow Capacitor, an analyst display for maintaining cyber situation awareness, and in the Parallel Coordinates 3D Observatory (PC3O or Observatory), a generalization of the Flow Capacitor that provides capabilities for developing and exploring lines of inquiry. We then introduce the primary implementation frameworks that provide the core capabilities of Sol: the Luna Software Agent Framework, the VIA Cross-Layer Communications Substrate, and the KAoS Policy Services Framework. We show how policy-governed agents can perform much of the tedious high-tempo tasks of analysts and facilitate collaboration. Much of the power of Sol lies in the concept of coactive emergence, whereby a comprehension of complex situations is achieved through the collaboration of analysts and agents working together in tandem. Not only can the approach embodied in Sol lead to a qualitative improvement in cyber situation awareness, but its approach is equally relevant to applications of distributed sensemaking for other kinds of complex high-tempo tasks.
  • Konferenzbeitrag
    Understanding and addressing user needs for annotation of simple sensor data: Bridging the gap between human sensemaking and machine interpretation
    (INFORMATIK 2024, 2024) Kurze, Albrecht; Reuter, Christin
    The increasing presence of sensors in smart homes generates vast amounts of data, which require effective interpretation to be useful, often along with data annotation. While automatic approaches can automatically analyze sensor data but require strict and clean annotations, they often neglect the complex, multidimensional nature of human sensemaking. We explore this gap and propose an approach to bridge this gap. We present preliminary findings from three directions: lay user annotations of sensor data collected in a field study using our Sensorkit solution, analysis of existing annotation tools, and a human-centered design process for a new annotation solution. Our goal is to develop a more integrated approach to sensor data interpretation that benefits both humans and machines.