SBIR/STTR Research Award

SBIR Phase II: Adaptive Personalization and Context Management for Location-Based Mobile Devices (AdaptTribe)

Award identifier 2b38365e7396922828fda8244fb0313e04eb678c47e7baf6fcd3a2ac57320423Awarding agency National Science Foundation

Award amount

$500,000

Program and phase

SBIR · Phase II

Award year

2004

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
BIGTRIBE CORPORATION
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

This Small Business Innovation Research Phase II research project develops personalized user-interfaces for location-based services. This adaptive proximity-based personalization algorithm recommends nearby venues based on predicted user interest and distance. It will further develop a highly distributed algorithm that allows handsets to perform part of the calculation, dramatically reducing computation costs that central servers would otherwise bear. This context-based user-interface allows users to chain operations, concentrating activities by proximity, and avoiding retyping. This project will expand the user- interface advancements to include personalizing categories, and a user-interface approach that mixes categories with individual venues. In addition it will explore algorithms that mix different types of venues on the same screen. Identity federation will help retailers and portals more readily deal with intermediary services. Self-service retail interfaces can allow traditional "brick-and-mortar" retailers to cost-effectively provide "click-and-mortar" services to consumers. A SOAP-based web-service will allow portals to filter data and configure look-and-feel more precisely. However, the proposed tag mechanism will likely be good enough for most portals, as the output format can be configured easily through CSS, and filtering can be performed through the company's self-service portal interface The end result of this project is a product that can be incorporated in enterprise logistics applications that help field personnel find, reserve, use and store resources while being able to improve the speed that consumers navigate user-interfaces, even when location is irrelevant. The in-handset personalization may ensure better privacy and security, even in non-location based applications. The product will use proximity to maximize value: building business-consumer relationships, enhancing social harmony and strengthening communities, as a result.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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