A hierarchical approach to learning context and facilitating user interaction in mobile devices

John A. Flanagan, Johan Himberg, Jani Mäntyjärvi

Research output: Contribution to conferenceConference articleScientificpeer-review

Abstract

Recognizing user context is important in making mobile devices simple to use. The device and the underlying mobile service can provide a personalized user interface that adapts to the usage situation. The device can infer parts of the context of the user from features extracted from on-board sensors that make measurements of acceleration, noise level, luminosity, humidity, etc. In this paper we justify why generating different level descriptions of user context is necessary for the development of useful applications. We also show how it is possible to generate higher level contexts. A practical method based on the clustering of symbol string data using the SCM algorithm is described. This is applied to the analysis of a real data set from sensor recordings. Based on this data and using the various ideas presented, different levels of user context are generated and a simple method for changing a mobile device profile are described.
Original languageEnglish
Publication statusPublished - 2003
MoE publication typeNot Eligible
EventWorkshop on Artificial Intelligence in Mobile System - Seattle, United States
Duration: 12 Oct 200312 Oct 2003

Conference

ConferenceWorkshop on Artificial Intelligence in Mobile System
CountryUnited States
CitySeattle
Period12/10/0312/10/03

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Mobile devices
Sensors
User interfaces
Luminance
Atmospheric humidity

Cite this

Flanagan, J. A., Himberg, J., & Mäntyjärvi, J. (2003). A hierarchical approach to learning context and facilitating user interaction in mobile devices. Paper presented at Workshop on Artificial Intelligence in Mobile System, Seattle, United States.
Flanagan, John A. ; Himberg, Johan ; Mäntyjärvi, Jani. / A hierarchical approach to learning context and facilitating user interaction in mobile devices. Paper presented at Workshop on Artificial Intelligence in Mobile System, Seattle, United States.
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Flanagan, JA, Himberg, J & Mäntyjärvi, J 2003, 'A hierarchical approach to learning context and facilitating user interaction in mobile devices', Paper presented at Workshop on Artificial Intelligence in Mobile System, Seattle, United States, 12/10/03 - 12/10/03.

A hierarchical approach to learning context and facilitating user interaction in mobile devices. / Flanagan, John A.; Himberg, Johan; Mäntyjärvi, Jani.

2003. Paper presented at Workshop on Artificial Intelligence in Mobile System, Seattle, United States.

Research output: Contribution to conferenceConference articleScientificpeer-review

TY - CONF

T1 - A hierarchical approach to learning context and facilitating user interaction in mobile devices

AU - Flanagan, John A.

AU - Himberg, Johan

AU - Mäntyjärvi, Jani

PY - 2003

Y1 - 2003

N2 - Recognizing user context is important in making mobile devices simple to use. The device and the underlying mobile service can provide a personalized user interface that adapts to the usage situation. The device can infer parts of the context of the user from features extracted from on-board sensors that make measurements of acceleration, noise level, luminosity, humidity, etc. In this paper we justify why generating different level descriptions of user context is necessary for the development of useful applications. We also show how it is possible to generate higher level contexts. A practical method based on the clustering of symbol string data using the SCM algorithm is described. This is applied to the analysis of a real data set from sensor recordings. Based on this data and using the various ideas presented, different levels of user context are generated and a simple method for changing a mobile device profile are described.

AB - Recognizing user context is important in making mobile devices simple to use. The device and the underlying mobile service can provide a personalized user interface that adapts to the usage situation. The device can infer parts of the context of the user from features extracted from on-board sensors that make measurements of acceleration, noise level, luminosity, humidity, etc. In this paper we justify why generating different level descriptions of user context is necessary for the development of useful applications. We also show how it is possible to generate higher level contexts. A practical method based on the clustering of symbol string data using the SCM algorithm is described. This is applied to the analysis of a real data set from sensor recordings. Based on this data and using the various ideas presented, different levels of user context are generated and a simple method for changing a mobile device profile are described.

M3 - Conference article

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Flanagan JA, Himberg J, Mäntyjärvi J. A hierarchical approach to learning context and facilitating user interaction in mobile devices. 2003. Paper presented at Workshop on Artificial Intelligence in Mobile System, Seattle, United States.