At Home with Ubiquitous Computing: Seven Challenges
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Digital Family Portrait Field Trial: Support for Aging in Place
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personal and Ubiquitous Computing
The potential for location-aware power management
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Rudiments 1, 2 & 3: design speculations on autonomy
Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction
Gestural interaction on the steering wheel: reducing the visual demand
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Principles of smart home control
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Picode: inline photos representing posture data in source code
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Exploring sustainability research in computing: where we are and where we go next
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
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The complexities and costs of deploying Ubicomp applications seriously compromise our ability to evaluate such systems in the real world. To simplify Ubicomp deployment we introduce the robotic pseudopod (P.Pod), an actuator that acts on mechanical switches originally designed for human control only. P.Pods enable computational control of devices by hijacking their mechanical switches -- a term we refer to as mechanical hijacking. P.Pods offer simple, low-cost, non-destructive computational access to installed hardware, enabling functional, real world Ubicomp deployments. In this paper, we illustrate how three P.Pod primitives, built with the Lego MindStorm NXT toolkit, can implement mechanical hijacking, facilitating real world Ubicomp deployments which otherwise require extensive changes to existing hardware or infrastructure. Lastly, we demonstrate the simplicity of P.Pods by observing two middle school classes build working smart home applications in 4 hours.