Abstract.
We present WATCHiT, a prototype of sensor-augmented wristband computer for data collection during crisis response work. During crises, information about the environment (e.g. to map the territory) and the rescuers (e.g. for assessment of workers’ condition) offers help to support coordination of work, post-emergency debriefing and to build realistic training scenarios. Being each crisis nearly unique it is important to collect data from every single occurrence, yet it is difficult to foresee the type of data and context information that is relevant to capture. WATCHiT features: (1) wearable sensors, (2) easy customization of the type of information sensed, including both quantitative and qualitative data; (3) an intuitive, distraction-free user interface for controlling the data capturing procedure. Our design process has been driven by user studies during training events characterized by a high degree of realism; our prototype has been successfully evaluated with experts against technology acceptance.
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Mora, S., Divitini, M. (2014). WATCHiT: A Modular and Wearable Tool for Data Collection in Crisis Management and Training. In: Aarts, E., et al. Ambient Intelligence. AmI 2014. Lecture Notes in Computer Science(), vol 8850. Springer, Cham. https://doi.org/10.1007/978-3-319-14112-1_22
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