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David J. Ward

dblp:97/4137 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2004
0000-0002-1587-7011ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2Human-computer interaction and ubiquitous computing · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 67% Accessibility and assistive technology · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Accessibility and assistive technology › alternative input
assistive text entry
0.012000
Dasher - a data entry interface using continuous gestures and language models · UIST 2000
Interaction techniques and input › text entry
gesture-based text entry
0.012000
Dasher - a data entry interface using continuous gestures and language models · UIST 2000
Interaction techniques and input
text entry
0.012000
Dasher - a data entry interface using continuous gestures and language models · UIST 2000

Methods — techniques the papers use, named apart from their topics

language modeling · 0.0
YearPublicationVenuePosition
2004 Visualizing the loss of diversity in genetic programming
abstract
This work introduces visualization techniques that allow for a multivariate approach in understanding the dynamics that underlie genetic programming (GP). Emphasis is given toward understanding the relationship between problem difficulty and the loss of diversity. The visualizations raise questions about diversity and problem solving efficacy, as well as the role of the initial population in determining solution outcomes.
Jason M. Daida, David J. Ward, Adam M. Hilss, Stephen L. Long, Mark R. Hodges, Jason T. Kriesel
IEEE Congress on Evolutionary Computation2
2003 Visualizing Tree Structures in Genetic Programming
Jason M. Daida, Adam M. Hilss, David J. Ward, Stephen L. Long
GECCO3
2002 Dasher: A Gesture-Driven Data Entry Interface for Mobile Computing
David J. Ward, Alan F. Blackwell, David J. C. MacKay
Hum. Comput. Interact.1
2000 Dasher - a data entry interface using continuous gestures and language models
abstract
Existing devices for communicating information to computers are bulky, slow to use, or unreliable. Dasher is a new interface incorporating language modelling and driven by continuous two-dimensional gestures, e.g. a mouse, touchscreen, or eye-tracker. Tests have shown that this device can be used to enter text at around 25 words per minute, compared with typical ten-finger keyboard typing of 40--60 words per minute. Although the interface is slower than a conventional keyboard, it is small and simple, and could be used on personal data assistants and by handicapped computer users. KEYWORDS: Adaptive, Text, Entry, Language, Modelling 1 INTRODUCTION A conventional Scholes (qwerty) keyboard is often inconvenient; the interaction device may be too small or too big [8], or may have to be operated with one hand because it is wristmounted or hand-held [17]. There are many competing methods of text entry for handheld devices, but none is clearly superior. This is largely because text entry...
David J. Ward, Alan F. Blackwell, David J. C. MacKay
UIST1