Demo Data from EDBT 2026 / reviewers in the wild / expert
David J. Ward
dblp:97/4137
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Accessibility and assistive technology › alternative input
assistive text entry |
0.0 | 1 | 2000 | Dasher - a data entry interface using continuous gestures and language models · UIST 2000 |
Interaction techniques and input › text entry
gesture-based text entry |
0.0 | 1 | 2000 | Dasher - a data entry interface using continuous gestures and language models · UIST 2000 |
Interaction techniques and input
text entry |
0.0 | 1 | 2000 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Visualizing the loss of diversity in genetic programmingabstractThis 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 Computation | 2 |
| 2003 | Visualizing Tree Structures in Genetic Programming
Jason M. Daida, Adam M. Hilss, David J. Ward, Stephen L. Long |
GECCO | 3 |
| 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 modelsabstractExisting 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 |
UIST | 1 |