Plans and situated actions: the problem of human-machine communication
Plans and situated actions: the problem of human-machine communication
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Informing collaborative information visualisation through an ethnography of ambulance control
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IEEE Pervasive Computing
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Abaris: evaluating automated capture applied to structured autism interventions
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IEEE Pervasive Computing
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Personal and Ubiquitous Computing
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Teams of therapists often provide targeted interventions for children with developmental disabilities. A common practice in these cases is one-on-one interaction between a therapist and the child together with occasional group meetings of the therapists to discuss progress and make informed decisions to modify the intervention plan. We designed a system called Abaris to support this form of collaborative decision-making for a particular intervention popular in the treatment of children with autism. Our system allows for the simultaneous use of trending data across therapy sessions and detailed session data that is automatically integrated with highly indexed video. We discuss the impact this system had on the team dynamics, the amount of collaboration, and the effect it had on the team using evidence and videos to make decisions about the care of the child.