Understanding IoT Data Trading Preferences
Project Overview
As Internet of Things devices proliferate in homes and workplaces, understanding how people value their data and with whom they are willing to share it becomes increasingly important for the development of sustainable data economies. 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. The research explores factors that influence data trading decisions, including the perceived sensitivity of different data types and the level of trust individuals place in different organisation categories.
By systematically mapping these preferences, the project contributes to the Sensing-as-a-Service model. Understanding the types of incentives that motivate data sharing and the conditions under which people are willing to participate in IoT data economies provides essential input for designing fair and effective data trading platforms.
Planned user studies were delayed by COVID-19 restrictions. The platform and study methodology remain ready for deployment, and data collection will continue in a future phase when conditions permit participant engagement.
Team
