Understanding IoT Data Trading Preferences
Experimental Prototype

Understanding IoT Data Trading Preferences

(2020)
Data Economy HCI
Internet of Things (IoT) Human Computer Interaction (HCI) Privacy (P) Education (E)

Project Overview

Builds a study platform to explore how people value different IoT data types and which organisations they trust enough to trade with.

As IoT devices proliferate, understanding how people value their data and with whom they are willing to share it becomes increasingly important. This project develops a web application platform to investigate whether people will exchange different types of IoT data with various organisations.

The platform enables researchers to design user studies, engage participants, and examine response patterns to understand IoT data trading preferences. Users can create customised surveys exploring willingness to share specific data types—such as location, health metrics, or home sensor readings—with different categories of organisations including commercial companies, government agencies, and research institutions.

Planned user studies were delayed by COVID-19 restrictions and will resume when feasible.

COVID-19 Affected

User studies were postponed due to pandemic restrictions; data collection will continue in a future phase.

Team

Funding