Human-Data Interaction: The Human Face of the Data-Driven Society
By R. Mortier, Hamed Haddadi, H. Tristan, Derek McAuley, Jon Crowcroft. 2014
224 citations recorded by the source corpus.
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.
Subfields: Sociology and Political Science, Transportation, Human-Computer Interaction
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Citations in the corpus
- Challenges for Transparency (2017, background): “The case for transparency has been made in many settings, including for government policy (Vishwanath and Kauf-mann, 2001), business (Lowenstein, 1996), charity (Sridhar and Batniji, 2008), and algorithms (Mortier et al., 2014).”
- Secure, privacy-preserving and federated machine learning in medical imaging (2020, background): “…also poses challenges with respect to plausibility testing, explaining the process to patients—that is, data legibility (human–data interaction 63 )—regarding algorithm development and implementation, and escalates the requirement for statistical expertise to ascertain data representativeness…”
- Transparency: Motivations and Challenges (2019, background): “The case for transparency has been made in many settings, including for government policy [69], business [44], charity [63], and algorithms [48].”