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VLDB 2026 Research / reviewers in the wild / expert

Candy Zhao

dblp:57/9307 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1

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
Health and well-being technologies · 44% Human-robot interaction · 44% Ubiquitous computing and smart environments · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
feedback		 0.112011
Designing for context-aware health self-monitoring, feedback, and engagement · CSCW 2011
Health and well-being technologies › personal informatics
self-monitoring		 0.112011
Designing for context-aware health self-monitoring, feedback, and engagement · CSCW 2011

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

fieldwork · 0.1field testing · 0.1
YearPublicationVenuePosition
2011 Designing for context-aware health self-monitoring, feedback, and engagement
abstract
There is a novel opportunity to increase awareness of health activities in a person's daily life. One way to do that is through context-aware self-monitoring. We explore design insights from field work and field testing different methods for self-monitoring. We present an innovative design for establishing context-aware self-monitoring that has the potential to improve health.
Frank X. Chen, Eric B. Hekler, Candy Zhao
 CSCW5