This scale, of 13 items, is a measurement tool for assessing transparency in recommender systems. It covers :
- Input: what data does the system use?
- Output: why and how well does an item fit one’s preferences?
- Functionality: how and why is an item recommended?
- Interaction: what needs to be changed for a different prediction?



Reference:  Hellmann, M., Bocanegra, D. C. H., & Ziegler, J. (2022). Development of an Instrument for Measuring Users' Perception of Transparency in Recommender Systems. Universität Duisburg-Essen. https://duepublico2.uni-due.de/servlets/MCRFileNodeServlet/duepublico_derivate_00075641/CEUR_WS_3124_Paper17.pdf