Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jennifer McGinn

dblp:41/5636 · DBLP profile ↗
← Back
1ranked-venue papers
1as 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 · 1 first-author

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
Design research and methods · 77% Usability and user experience research · 23%

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

TopicWeightPapersLastEvidence papers
Design research and methods › user-centered design
persona development
0.112008
Data-driven persona development · CHI 2008
Usability and user experience research
user modeling
0.012008
Data-driven persona development · CHI 2008

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

statistical analysis · 0.1clustering · 0.1
YearPublicationVenuePosition
2008 Data-driven persona development
abstract
Much has been written on creating personas --- both what they are good for, and how to create them. A common problem with personas is that they are not based on real customer data, and if they are, the data set is not of a sample size that can be considered statistically significant. In this paper, we describe a new method for creating and validating personas, based on the statistical analysis of data, which is fast and cost effective.
Jennifer McGinn, Nalini Kotamraju
CHI1