Demo Data from EDBT 2026 / reviewers in the wild / expert
Doug Wightman
dblp:00/4182 · also Douglas Wightman
· DBLP profile ↗
5ranked-venue papers
3as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 5 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 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 |
Collaborative and social computing · 67% Human-AI interaction · 33% | |
| Software engineering, system software, and programming languages
1 paper |
Software maintenance and evolution · 77% Program synthesis and code generation · 23% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution
code reuse |
0.1 | 1 | 2012 | SnipMatch: using source code context to enhance snippet retrieval and parameterization · UIST 2012 |
Collaborative and social computing
computer-mediated communication |
0.1 | 1 | 2009 | Social responses in mobile messaging: influence strategies, self-disclosure, and source orientation · CHI 2009 |
Collaborative and social computing › computer-mediated communication › messaging
mobile messaging |
0.1 | 1 | 2009 | Social responses in mobile messaging: influence strategies, self-disclosure, and source orientation · CHI 2009 |
Methods — techniques the papers use, named apart from their topics
influence strategies · 0.1field experiment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | SnipMatch: using source code context to enhance snippet retrieval and parameterizationabstractProgrammers routinely use source code snippets to increase their productivity. However, locating and adapting code snippets to the current context still takes time: for example, variables must be renamed, and dependencies included. We believe that when programmers decide to invest time in creating a new code snippet from scratch, they would also be willing to spend additional effort to make that code snippet configurable and easy to integrate. To explore this insight, we built SnipMatch, a plug-in for the Eclipse IDE. SnipMatch introduces a simple markup that allows snippet authors to specify search patterns and integration instructions. SnipMatch leverages this information, in conjunction with current code context, to improve snippet search and parameterization. For example, when a search query includes local variables, SnipMatch suggests compatible snippets, and automatically adapts them by substituting in these variables. In the lab, we observed that participants integrated snippets faster when using SnipMatch than when using standard Eclipse. Findings from a public deployment to 93 programmers suggest that SnipMatch has become integrated into the work practices of real users. Doug Wightman, Joel Brandt, Roel Vertegaal |
UIST | 1 |
| 2011 | BendFlip: Examining Input Techniques for Electronic Book Readers with Flexible Form Factors
Doug Wightman, Tim Ginn, Roel Vertegaal |
INTERACT (3) | 1 |
| 2010 | TouchMark: flexible document navigation and bookmarking techniques for e-book readers
Doug Wightman, Tim Ginn, Roel Vertegaal |
Graphics Interface | 1 |
| 2009 | Social responses in mobile messaging: influence strategies, self-disclosure, and source orientationabstractThis paper reports on a direct test of social responses to communication technologies theory (SRCT) with mobile messaging. SRCT predicts that people will mindlessly respond to computers in social ways that mirror their responses to humans. A field experiment (N=71) using participants' own mobile phones compared three influence strategies (direct request, flattery, and social norms) in the context of asking intimate questions of participants. These messages came from either an ostensibly human or computer sender. Flattery significantly increased self-disclosure when ostensibly sent by a human, but not when from a computer. The interaction effect for sender and influence strategy is inconsistent with SRCT's predictions. Implications for theories of source orientation, research methods, and future research are discussed. Dean Eckles, Doug Wightman, Claire Carlson, Attapol Thamrongrattanarit, Marcello Bastéa-Forte, B. J. Fogg |
CHI | 2 |
| 2009 | The Attentive Hearing Aid: Eye Selection of Auditory Sources for Hearing Impaired Users
Jamie Hart, Dumitru Onceanu, Changuk Sohn, Doug Wightman, Roel Vertegaal |
INTERACT (1) | 4 |