Human Data Interaction in IoT: The ownership aspect

Abstract

Abstract-As Internet of Things (IoT) becomes a growing reality, more ubiquitous devices are embedded in our daily lives, serving us in a broad range of purposes in everyday life from: personal healthcare to home automation to tailored smart city services. These devices primarily collect data that is about or produced by people, be it street noise level of a neighbourhood, or the energy footprint of an individual's home or her location and other situational context. As this unprecedented amount of data is collected, we are challenged with one fundamental research question: who owns this data and who should have access to it? Specifically, the emergent of the Human Data Interaction (HDI) topic which aims to put the human at the centre of the data driven industry, calls attention to the IoT community to address the data ownership aspect more carefully. In this note, we offer a reflection on the challenges that IoT faces in regards to the data ownership in HDI and advocate the roles that both ordinary people and industries must play to best answer those challenges in shaping the IoT landscape.

Designing a Personal Information Transaction Object

“…Spiekermann and Novotny [31] have shown that in the absence of these explicit permissions an opaque shadow market in personal information has emerged. A transparent regulation framework also encourages individuals to share their information, adding to thickness in the market [19].…”

“…There is an extensive body of research into areas which are relevant to the design of a workable PPIM such as: data ownership [19,20] and privacy [21,22], personal informatics [23,24], the collection and modelling of personal information [25,26] and data security [27,28]. However "there is a substantial lack of empirical research on … markets for online personal data" [29] and most market design research is qualitative [30].…”

“…Aperjis and Huberman [32] proposed compensating individuals for allowing their data to be included in a sample from which the buyer sought to infer a statistic of interest about a population and Mashhadi et al [19] propose a data market for the trading of sensor data generated by the Internet of Things.…”

Designing a Primary Personal Information Market as an Industry Platform:_a Service Innovation Approach

“…Research into markets in personal information is multi-dimensional and cross-disciplinary and touches on numerous areas of related research such as: data ownership [24,25], privacy [26,27], personal informatics [28,29], the collection and modelling of personal information [30,31] and data security [32,33]. However, as noted by e-market scholars, "there is a substantial lack of empirical research on … markets for online personal data" [34] and most market design research is qualitative [35].…”

“…By focusing on the type of relationship which exists between the individual and the company, they developed a four-space model of personal information management. It has also been proposed that individuals receive compensation for allowing their data to be included in a sample from which the buyer sought to infer a statistic of interest about a population [37] and for the allowing access to sensor data generated by the Internet of Things [24].…”