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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Understanding human-data interaction: Literature review and recommendations for design

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Victorelli, Eliane Zambon [1] ; Dos Reis, Julio Cesar [1, 2] ; Hornung, Heiko [1] ; Prado, Alysson Bolognesi [1]
Total Authors: 4
[1] Univ Campinas UNICAMP, Inst Comp, Campinas, SP - Brazil
[2] Nucleus Appl Informat Educ NIED, Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Web of Science Citations: 1

The trend of collecting information about human activities to inform and influence actions and decisions poses a series of challenges to analyze this data deluge. The lack of ability to understand and interact with this amount of data prevents people and organizations from taking the best of this information. To investigate how people interact with data, a new area of study called ``Human-Data Interaction{''} (HDI) is emerging. In this article, we conduct a thorough literature review to create the big picture about the subject. We carry out a variety of analyses and visual examinations to understand the characteristics of existing publications, detecting the most frequently addressed research topics and consolidating the research challenges. Based on the needs of HDI we found in the analyzed publications, we organize a set of recommendations and evaluate online systems that demand intensive human-data interaction. The obtained results indicate there are still many open questions for this interesting area, which is maturing with an increase number of publications in the last years, and that systems with large amount of data openly available poorly meet the proposed recommendations. (AU)

FAPESP's process: 17/02325-5 - EvOLoD: linked data evolution on the Semantic Web
Grantee:Julio Cesar dos Reis
Support type: Research Grants - Young Investigators Grants
FAPESP's process: 15/24300-9 - OpenDesign: techniques and artifacts for the socially aware design of computinger systems
Grantee:Maria Cecilia Calani Baranauskas
Support type: Regular Research Grants