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Michael R. Bove

dblp:129/2073 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Information retrieval
information seeking
0.212013
Costs and benefits of structured information foraging · CHI 2013
Information retrieval › interactive information retrieval
sensemaking
0.212013
Costs and benefits of structured information foraging · CHI 2013
Collaborative and social computing › computer-supported cooperative work
collaborative information seeking
0.112014
Standing on the schemas of giants: socially augmented information foraging · CSCW 2014
Collaborative and social computing
information sharing
0.012013
Costs and benefits of structured information foraging · CHI 2013

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

controlled experiment · 0.5
YearPublicationVenuePosition
2014 Standing on the schemas of giants: socially augmented information foraging
abstract
People 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
CSCW4
2013 Costs and benefits of structured information foraging
abstract
People 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
CHI5