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Jesse Shepherd

dblp:129/5063 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments › personal information management
capture and access
0.112012
Lullaby: a capture & access system for understanding the sleep environment · UbiComp 2012
Health and well-being technologies
personal informatics
0.112012
Lullaby: a capture & access system for understanding the sleep environment · UbiComp 2012
Health and well-being technologies
sleep monitoring
0.112012
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
YearPublicationVenuePosition
2012 Lullaby: a capture & access system for understanding the sleep environment
abstract
The 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
UbiComp3