Demo Data from SIGIR 2026 / reviewers in the wild / expert
Rashmi R. Sinha
dblp:73/6516
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 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 |
User interface design and tools · 50% Usability and user experience research · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usability and user experience research › usability evaluation
automated usability evaluation |
0.0 | 1 | 2001 | Empirically validated web page design metrics · CHI 2001 |
User interface design and tools
web site design |
0.0 | 1 | 2001 | Empirically validated web page design metrics · CHI 2001 |
Methods — techniques the papers use, named apart from their topics
quantitative analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Rapid information architecture prototypingabstractTo create user-centered information architectures (IA), designers need a structured methodology that allows them to move rapidly from initial exploration of domain, to designing and testing information architecture. Additionally, in rapidly changing domains, design needs to flexibly incorporate future additions and evolutions. Finally, IA design should also take into account business concerns and goals. This paper describes Rapid Information Architecture Prototyping, a three-stage methodology for creating and testing IA based on user and business requirements. First, stakeholder analysis is used to understand business and organizational context, while free-listing exercises are used to explore the domain. Next, results of free-listing are used in an open card-sorting to understand user mental models and generate prototype IAs. Finally, closed card-sorting is used to evaluate and choose between candidate structures. The last two stages can be used in an iterative manner to design and test prototype IAs. The results yield a future-oriented IA that can flexibly incorporate future changes to site content and functionality, and provide design direction for years to come. Rashmi R. Sinha, Jonathan Boutelle |
Conference on Designing Interactive Systems | 1 |
| 2001 | Empirically validated web page design metricsabstractA quantitative analysis of a large collection of expert-rated web sites reveals that page-level metrics can accurately predict if a site will be highly rated. The analysis also provides empirical evidence that important metrics, including page composition, page formatting, and overall page characteristics, differ among web site categories such as education, community, living, and finance. These results provide an empirical foundation for web site design guidelines and also suggest which metrics can be most important for evaluation via user studies. Keywords World Wide Web, Empirical Studies, Automated Usability Evaluation, Web Site Design INTRODUCTION There is currently much debate about what constitutes good web site design [19, 21]. Many detailed usability guidelines have been developed for both general user interfaces and for web page design [6, 16]. However, designers have historically experienced difficulties following design guidelines [2, 7, 15, 24]. Guidelines are often sta... Melody Y. Ivory, Rashmi R. Sinha, Marti A. Hearst |
CHI | 2 |