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Juan M. Ferreira

dblp:253/0154 · DBLP profile ↗
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2ranked-venue papers
2as first author
1since 2021 · last 2023
0000-0002-2131-0345ORCID · corroborated

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

Software engineering, systems software and programming languages · 2 · 2 first-author · 1 since 2021

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
Usability and user experience research · 100%

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

TopicWeightPapersLastEvidence papers
Usability and user experience research
usability evaluation
0.712023
Impact of Usability Mechanisms: A Family of Experiments on Efficiency, Effectiveness and User Satisfaction · IEEE Trans. Software Eng. 2023

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

replication · 0.7meta-analysis · 0.7family of experiments · 0.7
YearPublicationVenuePosition
2023 Impact of Usability Mechanisms: A Family of Experiments on Efficiency, Effectiveness and User Satisfaction
abstract
Context: The usability software quality characteristic aims to improve system user performance. In a previous study, we found evidence of the impact of a set of usability features from the viewpoint of users in terms of efficiency, effectiveness and satisfaction. However, the impact level appears to depend on the usability feature and suggest priorities with respect to their implementation depending on how they promote user performance.Objectives: We use a family of three experiments to increase the precision and generalization of the results in the baseline experiment and provide findings regarding the impact on user performance of the Abort Operation, Progress Feedback and Preferences usability mechanisms.Method: We conduct two replications of the baseline experiment in academic settings. We analyse the data of 366 experimental subjects and apply aggregation (meta-analysis) procedures.Results: We find that the Abort Operation and Preferences usability mechanisms appear to improve system usability a great deal with respect to efficiency, effectiveness and user satisfaction.Conclusions: We find that the family of experiments further corroborates the results of the baseline experiment. Most of the results are statistically significant, and, because of the large number of experimental subjects, the evidence that we gathered in the replications is sufficient to outweigh other experiments.
Juan M. Ferreira, Francy D. Rodríguez, Adrián Santos, Óscar Dieste Tubío, Silvia Teresita Acuña, Natalia Juristo Juzgado
IEEE Trans. Software Eng.1
2020 Impact of usability mechanisms: An experiment on efficiency, effectiveness and user satisfaction
Juan M. Ferreira, Silvia Teresita Acuña, Óscar Dieste Tubío, Sira Vegas, Adrián Santos, Francy D. Rodríguez, Natalia Juristo Juzgado
Inf. Softw. Technol.1