S
Stephen S. Evans
Researcher at Microsoft
Publications - 33
Citations - 1864
Stephen S. Evans is an academic researcher from Microsoft. The author has contributed to research in topics: Context (language use) & Context (computing). The author has an hindex of 16, co-authored 33 publications receiving 1864 citations.
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Context-aware and location-aware cellular phones and methods
TL;DR: Context-aware and location-aware cellular phones and methods are described in this paper, where cellular phones are configured to wirelessly receive information that pertains to their current context or location, and then automatically use the information to modify one or more cellular phone behaviors, e.g. by turning the phone off, changing the ringer's pitch, or placing the phone in a vibrate mode.
Patent
Context-aware systems and methods, location-aware systems and methods, context-aware vehicles and methods of operating the same, and location-aware vehicles and methods of operating the same
TL;DR: In this article, a context or location service module, implemented in software, determines a vehicle context or a vehicle location based upon information that it receives from various context providers or location providers respectively.
Patent
Location beaconing methods and systems
TL;DR: In this paper, a hierarchical tree structure is utilized to ascertain a device context or location, and the tree structures can be stored on or accessible to mobile computing devices so that the devices can determine their own particular context or locations.
Patent
Methods and systems for context-aware policy determination and enforcement
TL;DR: Context aware computing systems and methods are described in this article, where a collection of policies can be evaluated to provide a resultant set of policies that apply to the given context, typically via the device's operating system.
Patent
Environment-interactive context-aware devices and methods
TL;DR: Location-aware methods and systems are described in this article, where a portable computing device determines its location by accessing one or more hierarchical tree structures each of which comprising multiple nodes that represent physical or logical locations, and traversing at least one node on the one or multiple hierarchical tree structure to ascertain the location.