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SenSay: A Context-Aware Mobile Phone



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SenSay A Context Aware Mobile Phone Daniel Siewiorek Asim Smailagic Junichi Furukawa Neema Moraveji Kathryn Reiger and Jeremy Shaffer Human Computer Interaction Institute and Institute for Complex Engineered Systems Carnegie Mellon University Pittsburgh PA 15213 USA dps asim cs cmu edu junichif nmoravej kr jshaffer andrew cmu edu Abstract SenSay is a context aware mobile phone that adapts to dynamically changing environmental and physiological states In addition to manipulating ringer volume vibration and phone alerts SenSay can provide remote callers with the ability to communicate the urgency of their calls make call suggestions to users when they are idle and provide the caller with feedback on the current status of the Sensay user A number of sensors including accelerometers light and microphones are mounted at various points on the body to provide data about the user s context A decision module uses a set of rules to analyze the sensor data and manage a state machine composed of uninterruptible idle active and normal states Results from our threshold analyses show a clear delineation can be made among several user states by examining sensor data trends SenSay augments its contextual knowledge by tapping into applications such as electronic calendars address books and task lists The phone alleviates cognitive load on users by various methods including detecting when the user is uninterruptible and automatically turning the ringer off 1 Introduction Current commercial mobile phones impose additional cognitive load on their users by requiring them to be conscious of their phone s states Examples include remembering to turn the ringer on and off handling missed calls determining call priority and worrying about inaudible ringer volume in a loud environment This paper attempts to alleviate users of these inconveniences creating a phone that can adapt to user s context changes SenSay sensing saying is a context aware mobile phone that modifies its behavior based on



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