How Much Trust is Enough? Towards Calibrating Trust in Technology
Gabriela Beltrão, Debora C. Firmino De Souza, Sonia C. Sousa, David Lamas
Abstract
The role of trust within Human-Computer Interaction is being redefined. With the increasing omnipresence, autonomy, and opacity of technology, users often struggle to understand the capabilities and limitations of systems. In this article, we present the results of an empirical study designed to provide a practical, evidence-based interpretation of trust propensity assessment using the Human-Computer Trust Scale (HCTS). We outline the process used to develop a guideline for interpreting the instrument's results and explain the rationale for our decisions, advocating for calibrating trust in technology within HCI. Our findings demonstrate that the HCTS is a promising tool for conducting an initial evaluation of propensity to trust, but that such an assessment requires reflection and interpretation that should be considered within the context of the interaction.
• Human-centered computing → User studies; Empirical studies in HCI; HCI theory, concepts and models.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext 1685f248-18f0-4f4c-9821-29ee4eaaf494Related papers
- Creepy Technology: What Is It and How Do You Measure It?Pawel W. Wozniak, Jakob Karolus, Florian Lang, Caroline Eckerth et al.CHI 2021 · 84 citations
- Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future DirectionsMagdalena Wischnewski, Nicole C. Krämer, Emmanuel MüllerCHI 2023 · 135 citations
- Perceived Empathy of Technology Scale (PETS): Measuring Empathy of Systems Toward the UserMatthias Schmidmaier, Jonathan Rupp, Darina Cvetanova, Sven MayerCHI 2024 · 45 citations
- How to Evaluate Trust in AI-Assisted Decision Making? A Survey of Empirical MethodologiesOleksandra Vereschak, Gilles Bailly, Baptiste CaramiauxCSCW 2021 · 227 citations
- The Development and Validation of the Technology-Supported Reflection InventoryMarit Bentvelzen, Jasmin Niess, Mikolaj P. Wozniak, Pawel W. WozniakCHI 2021 · 68 citations
