Amazon Technologies, Inc.

Jason Shih Shen Chein

Hilliard Bruce Siegel

Brent Russell Smith

Peter Thomas Killalea

Walter Manching Tseng

Ethan Zane Evans

Michael Anthony Frazzini

Ameesh Paleja

Christopher Lawrence Lavin

David Allen Markley

James Newton Adkins, Iii

Aaron Curtis Rubenson

Miguel Azancot Roque

Paul Allan Ryder

In some examples, a computing device may receive an indication that a first user and a second user are located in a zone of an interior space or other surrounding environment. Settings of one or more controllable devices may be controlled based on user profiles including implicit or explicit user preferences, such as for controlling lighting, ambient temperature, entertainment, security, etc., in the zone. When there is conflict between the user preferences, the conflict may be resolved, such as by determining a hierarchy between the users, by averaging the preferred settings, or based on other techniques. Further, a portable computing device may be associated with a user and may provide sensor information. The sensor information may include biometric sensor information that is indicative of a bodily condition of the user and that can be used for determining a context of the user or the zone.

Computing device interaction with surrounding environment

Disclosed are various embodiments for developing versions of applications based on application fingerprinting. For example, an application may be ported from one operating system platform to another, or an application may be modified to be compatible with a specific device. In one embodiment, an application fingerprint is received for an application. The application fingerprint may be generated based at least in part on a static analysis of the application and a dynamic analysis of the application. A device that is incompatible with the application based at least in part on the application fingerprint may be determined. A modification to the application to make the application compatible with the device may be determined.

Developing versions of applications based on application fingerprinting

Some examples include determining a proximity between a first user device and a plurality of other user devices based at least in part on comparing location information of the first user device with location information for the plurality of other user devices. Additionally, a commonality may be determined that is associated with at least some user profiles of the other users, but is unassociated with a user profile of the first user. For example, the commonality may have a frequency of occurrence among the user profiles of the other users that is greater than the frequency of occurrence among user profiles associated with a larger population. In other examples, a first portable computing device may receive profile information from a nearby second portable computing device for determining a compatibility between a first user profile and a second user profile.

Determining user commonalities and differences

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Bellevue, WA, United States of America

Jason Shih Shen Chein