Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael R. Bove
dblp:129/2073
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2
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
2 papers |
Collaborative and social computing · 86% User interface design and tools · 14% | |
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% |
Topics — the 4 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval
information seeking |
0.2 | 1 | 2013 | Costs and benefits of structured information foraging · CHI 2013 |
Information retrieval › interactive information retrieval
sensemaking |
0.2 | 1 | 2013 | Costs and benefits of structured information foraging · CHI 2013 |
Collaborative and social computing › computer-supported cooperative work
collaborative information seeking |
0.1 | 1 | 2014 | Standing on the schemas of giants: socially augmented information foraging · CSCW 2014 |
Collaborative and social computing
information sharing |
0.0 | 1 | 2013 | Costs and benefits of structured information foraging · CHI 2013 |
Methods — techniques the papers use, named apart from their topics
controlled experiment · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Standing on the schemas of giants: socially augmented information foragingabstractPeople spend an enormous amount of time searching for complex information online; for example, consumers researching new purchases or patients learning about their conditions. As they search, people build up rich mental schemas about their target domains; which, if effectively shared, could accelerate learning for others with similar interests. In this paper we introduce a novel approach for integrating the schemas individuals develop as they gather information online and surfacing them for others with similar interests. Through a controlled experiment we show that having access to others' schemas while foraging for information helps new users to induce more useful, prototypical, and better-structured schemas than gathering information alone. Aniket Kittur, Andrew M. Peters, Abdigani Diriye, Michael R. Bove |
CSCW | 4 |
| 2013 | Costs and benefits of structured information foragingabstractPeople spend an enormous amount of time searching for and saving information online. Existing tools capture only a small portion of the cognitive processing a user engages in while making sense of a new domain. In this paper we introduce a novel interface for capturing online information in a structured but lightweight way. We use this interface as a platform to experimentally characterize the costs and benefits of structuring information during the sensemaking process. Our results contribute empirical knowledge relevant to theories of information seeking and sensemaking, and practical implications for the development of tools to capture and share online information. Aniket Kittur, Andrew M. Peters, Abdigani Diriye, Trupti Telang, Michael R. Bove |
CHI | 5 |