Demo Data from EDBT 2026 / reviewers in the wild / expert
Jesse Shepherd
dblp:129/5063
· DBLP profile ↗
1ranked-venue papers
0as 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 · 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 · 67% Ubiquitous computing and smart environments · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments › personal information management
capture and access |
0.1 | 1 | 2012 | Lullaby: a capture & access system for understanding the sleep environment · UbiComp 2012 |
Health and well-being technologies
personal informatics |
0.1 | 1 | 2012 | Lullaby: a capture & access system for understanding the sleep environment · UbiComp 2012 |
Health and well-being technologies
sleep monitoring |
0.1 | 1 | 2012 | Lullaby: a capture & access system for understanding the sleep environment · UbiComp 2012 |
Methods — techniques the papers use, named apart from their topics
temperature sensing · 0.1motion sensing · 0.1light sensing · 0.1audio recording · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Lullaby: a capture & access system for understanding the sleep environmentabstractThe bedroom environment can have a significant impact on the quality of a person's sleep. Experts recommend sleeping in a room that is cool, dark, quiet, and free from disruptors to ensure the best quality sleep. However, it is sometimes difficult for a person to assess which factors in the environment may be causing disrupted sleep. In this paper, we present the design, implementation, and initial evaluation of a capture and access system, called Lullaby. Lullaby combines temperature, light, and motion sensors, audio and photos, and an off-the-shelf sleep sensor to provide a comprehensive recording of a person's sleep. Lullaby allows users to review graphs and access recordings of factors relating to their sleep quality and environmental conditions to look for trends and potential causes of sleep disruptions. In this paper, we report results of a feasibility study where participants (N=4) used Lullaby in their homes for two weeks. Based on our experiences, we discuss design insights for sleep technologies, capture and access applications, and personal informatics tools. Matthew Kay 0001, Eun Kyoung Choe, Jesse Shepherd, Ben Greenstein, Nathaniel F. Watson, Sunny Consolvo, Julie A. Kientz |
UbiComp | 3 |