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Francisco Ernesto

dblp:67/6232 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—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
Ubiquitous computing and smart environments · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments
mobile data collection
0.112008
Participant and interviewer attitudes toward handheld computers in the context of HIV/AIDS programs in sub-Saharan Africa · CHI 2008

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

t-test · 0.2field experiment · 0.2
YearPublicationVenuePosition
2008 Participant and interviewer attitudes toward handheld computers in the context of HIV/AIDS programs in sub-Saharan Africa
abstract
Handheld computers have untapped potential to improve HIV/AIDS programs in sub-Saharan Africa, particularly in the collection of survey data. We conducted an experiment in three neighborhoods of Luanda, Angola to assess the impact of the technology on people's comfort and willingness to disclose sensitive personal information, such as sexual behavior. Participants were asked about their HIV/AIDS-related knowledge, attitudes, and practices by local interviewers using either handheld computers or paper surveys. T-tests showed no differences between participants' self-reported comfort across handheld and paper conditions. However, participants in the handheld condition were more likely to give socially desirable responses to the sexual behavior questions than participants in the paper condition. These results suggest that using handheld computers in data collection in sub-Saharan Africa may lead to biased reports of HIV/AIDS-related risk behaviors.
Karen G. Cheng, Francisco Ernesto, Khai N. Truong
CHI2