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

Autor(es)

Victorelli, Eliane Zambon ^[1] ; Dos Reis, Julio Cesar ^{[1, 2]} ; Hornung, Heiko ^[1] ; Prado, Alysson Bolognesi ^[1]

Afiliação do(s) autor(es)

^[1] Univ Campinas UNICAMP, Inst Comp, Campinas, SP - Brazil

^[2] Nucleus Appl Informat Educ NIED, Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES; v. 134, p. 13-32, FEB 2020.
• Citações Web of Science: 1

Resumo

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)

• Processo FAPESP: 17/02325-5 - EvOLoD: evolução de dados interconectados na Web Semântica
• Beneficiário: Julio Cesar dos Reis
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores
• Processo FAPESP: 15/24300-9 - OpenDesign: técnicas e artefatos para o design socialmente consciente de sistemas computacionais
• Beneficiário: Maria Cecilia Calani Baranauskas
• Modalidade de apoio: Auxílio à Pesquisa - Regular