Series
GVU Technical Report Series

Permanent Link
https://hdl.handle.net/1853/71001
Series Type
Publication Series
Description
Associated Organization(s)
Associated Organization(s)
Organizational Unit

Filters

2002 - 2006 2
2
2
2
2
2
2
Reset filters

Settings
Author: Ashbrook, Daniel × Author: Starner, Thad × End date: 2009 × Start date: 2000 ×

Publication Search Results

Now showing 1 - 2 of 2
Thumbnail Image
Item

Reading on the Go: An Evaluation of Three Mobile Display Technologies

2006 , Vadas, Kristin , Lyons, Kenton Michael , Ashbrook, Daniel , Yi, Ji Soo , Starner, Thad , Jacko, Julie A.

As mobile technology becomes a more integral part of our everyday lives, understanding the impact of different displays on perceived ease of use and overall performance is becoming increasingly important. In this paper, we evaluate three mobile displays: the MicroOptical SV-3, the Sony Librie, and the OQO Model 01. These displays each use different underlying technologies and offer unique features which could impact mobile use. The OQO is a hand-held device that utilizes a traditional transflective liquid crystal display (LCD). The MicroOptical SV-3 is a head-mounted display that uses a miniature LCD and offers hands free use. Finally, the Librie uses a novel, low power reflective electronic ink technology. We present a controlled 15-participant evaluation to assess the effectiveness of using these displays for reading while in motion.

View
Thumbnail Image
Item

Learning Significant Locations and Predicting User Movement with GPS

2002 , Ashbrook, Daniel , Starner, Thad

Wearable computers have the potential to act as intelligent agents in everyday life and assist the user in a variety of tasks depending on the context. Location is the most common form of context used by these agents to determine the user's task. However, another potential use is the creation of a predictive model of the user's future movements. We present a system that automatically clusters GPS data taken over an extended period of time into meaningful locations at multiple scales. These locations are then incorporated into a Markov model that can be consulted for use with a variety of applications in both single-user and collaborative scenarios.

View