CYHCSIOct 6, 2014

Human-Data Interaction: The Human Face of the Data-Driven Society

arXiv:1412.6159v2218 citations
Originality Synthesis-oriented
AI Analysis

It addresses the problem of managing personal data interactions for stakeholders in data-driven societies, but it is incremental as it builds on existing disciplines without introducing a concrete solution.

The paper tackles the complex ecosystem of personal data by proposing Human-Data Interaction (HDI) as a new interdisciplinary study, organizing challenges into themes of legibility, agency, and negotiability to foster dialogue.

The increasing generation and collection of personal data has created a complex ecosystem, often collaborative but sometimes combative, around companies and individuals engaging in the use of these data. We propose that the interactions between these agents warrants a new topic of study: Human-Data Interaction (HDI). In this paper we discuss how HDI sits at the intersection of various disciplines, including computer science, statistics, sociology, psychology and behavioural economics. We expose the challenges that HDI raises, organised into three core themes of legibility, agency and negotiability, and we present the HDI agenda to open up a dialogue amongst interested parties in the personal and big data ecosystems.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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