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Inducing shortcuts on a mobile phone interface

Date

Authors

Bridle, Robert

McCreath, Eric

Publisher

Association for Computing Machinery Inc (ACM)

Abstract

Due to size restrictions, mobile phone user interfaces are often difficult to use[8]. In this short paper, we investigated inducing shortcuts to replace the sequence of actions required to complete common tasks on a mobile phone. In particular, we used mobile phone interaction data to evaluate several methods for inducing shortcuts. We considered the balance between maximising interface efficiency and shortcuts that remained stable arid hence predictable.

Keywords

Keywords: Adaptive User-Interfaces; Mobile Phone Interfaces; User Oriented Machine Learning; Data reduction; Intelligent agents; Interactive computer systems; Learning systems; Mobile telecommunication systems; User interfaces Adaptive User-Interface; Mobile Phone Interfaces; User Oriented Machine Learning

URI

http://hdl.handle.net/1885/32452

Collections

ANU Research Publications

Source

Proceedings of the 11th international conference on Intelligent user interfaces

Type

Conference paper

DOI

10.1145/1111449.1111526

Restricted until

2037-12-31

Downloads

File

Description

01_Bridle_Inducing_shortcuts_on_a_mobile_2006.pdf (498.23 KB)