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Showing papers by "Matthew Turk published in 2001"


Book ChapterDOI
Matthew Turk1
01 Jan 2001
TL;DR: Perceptual User Interfaces (PUI) as mentioned in this paper is a new focus in MCI, which aims to make human-computer interaction more like how people interact with each other and with the world.
Abstract: For some time, graphical user interfaces (GUIs) have been the dominant platform for human—computer interaction. The GUI-based style of interaction has made computers simpler and easier to use, especially for office productivity applications where computers are used as tools to accomplish specific tasks. However, as the way we use computers changes and computing becomes more pervasive and ubiquitous, GUIs will not easily support the range of interactions necessary to meet users’ needs. In order to accommodate a wider range of scenarios, tasks, users and preferences, we need to move toward interfaces that are natural, intuitive, adaptive and unobtrusive. The aim of a new focus in MCI, called Perceptual User Interfaces (PUIs), is to make human—computer interaction more like how people interact with each other and with the world. This chapter describes the emerging PUI field and then reports on three PUI-motivated projects: computer vision-based techniques to visually perceive relevant information about the user.

181 citations


Journal Article
TL;DR: It has been over a decade since the Eigenfaces approach to automatic face recognition, and other appearancebased methods, made an impression on the computer vision research community and helped spur interest in vision systems being used to support biometrics and human-computer interface.
Abstract: SUMMARY It has been over a decade since the “Eigenfaces” approach to automatic face recognition, and other appearancebased methods, made an impression on the computer vision research community and helped spur interest in vision systems being used to support biometrics and human-computer interface. In this paper I give a personal viewof the original motivation for the work, some of the strengths and limitation of the approach, and progress in the years since. Appearance-based approaches to recognition complement feature- or shape-based approaches, and a practical face recognition system should have elements of both. Eigenfaces is not a general approach to recognition, but rather one tool out of many to be applied and evaluated in the appropriate context.

118 citations