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Agents and mobile handsets

Authors: Michael Mahan;

Agents and mobile handsets

Abstract

Given the mobile phone's high market penetration and strong upgrade rate, it suggests itself as a natural candidate to support, and eventually host a user's digital representative. Coupled with artificial intelligence techniques, a phone-borne digital representative takes the form of a mobile assistant. Mobile assistants can circumvent hardware constraints (CPU cycles, narrow or expensive bandwidth, small memory, and limited user interface). They can also enable a set of new services that draw on the user's personal preferences, the user's location, available services, and the mobile phone's support of short-range connectivity. Although mutually independent, both capabilities, taken together, yield a powerful, digital representation of the mobile user. This digital representation can provide an optimal user experience, i.e., maximal connection to relevant services, without information overload or expensive wireless service charges. The article addresses three topics: the emergent mobile computing environment; the characteristics of mobile assistants that enable them to operate in this environment; and proposed mobile assistant architectures which target both current and future mobile phones.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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