Timing Matters: Comparing the Effects of Immediate, Delayed, and No Feedback on User Trust in Interactive Systems
Abstract
This study examines the impact of feedback timing on user trust and perceived reliability in interactive systems. Three scenarios were tested: no feedback, immediate feedback, and delayed feedback. Thirty participants interacted with these scenarios and completed trust-based questionnaires. Results show that immediate feedback significantly enhances user trust and perceived reliability, followed by delayed feedback, while the absence of feedback undermines these factors. The study aligns with human-computer interaction theories and extends recent research on user experiences. Findings emphasize the importance of implementing timely feedback in interactive system design, particularly immediate feedback when feasible. This research provides insights for improving user experience across various domains, including critical areas like healthcare technology. Future studies should address limitations in sample size and task diversity and explore different feedback modalities and user characteristics.
Keywords:
Immediate Feedback, User Experience (UX), Trust in Systems, Interactive Interfaces, Human-Computer Interaction (HCI)
References
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Carroll, J. M. (2003). HCI Models, Theories, and Frameworks: Toward a Multidisciplinary Science. Morgan Kaufmann.
Cecchinato, M. E., Rooksby, J., Hiniker, A., Munson, S., Lukoff, K., Ciolfi, L., Thieme, A., and Harrison, D. (2019). Designing for digital wellbeing: A research & practice agenda. In Extended abstracts of the 2019 CHI conference on human factors in computing systems, pages 1–8.
Følstad, A. and Brandtzaeg, P. B. (2020). Users’ experiences with chatbots: findings from a questionnaire study. Quality and User Experience, 5(1):3.
Hartson, R. and Pyla, P. S. (2012). The UX Book: Process and Guidelines for Ensuring a Quality User Experience. Morgan Kaufmann.
Mashhura, Y. (2024). Strategies for enhancing communication skills in language learners. International Journal of Pedagogics, 4(11):47–50.
Nielsen, J. (1993). Usability Engineering. Morgan Kaufmann.
Norman, D. (2013). The Design of Everyday Things: Revised and Expanded Edition. Basic Books.
Rainey, C., Bond, R., McConnell, J., Hughes, C., Kumar, D., and McFadden, S. (2024). Reporting radiographers’ interaction with artificial intelligence—how do different forms of ai feedback impact trust and decision switching? PLOS Digital Health, 3(8):e0000560.
Ryan, R. M. and Deci, E. L. (2017). Self-determination theory: Basic psychological needs in motivation, development, and wellness. Guilford publications.
Shneiderman, B., Plaisant, C., Cohen, M., and Jacobs, S. (2010). Designing the User Interface: Strategies for Effective Human-Computer Interaction. Pearson Education.
Solis, B. (2010). Engage: The complete guide for brands and businesses to build, cultivate, and measure success in the new web. John Wiley & Sons.
Vassileva, J. (2012). Motivating participation in social computing applications: a user modeling perspective. User Modeling and User-Adapted Interaction, 22:177–201.
Wojton, H. M., Porter, D., T. Lane, S., Bieber, C., and Madhavan, P. (2020). Initial validation of the trust of automated systems test (toast). The Journal of social psychology, 160(6):735–750.
Yilmaz, Y., Wu, K., Pardis, P., Kamhawy, R., Mondoux, S., and Chan, T. M. (2022). What faculty want: Academic and community emergency physicians’ perceptions of learner feedback. Cureus, 14(3).
Published
2025-07-20
How to Cite
SENA, Maria Klara Brito; LIMA, Emilly Yorke Araújo; PARADEDA, Raul Benites.
Timing Matters: Comparing the Effects of Immediate, Delayed, and No Feedback on User Trust in Interactive Systems. In: PROCEEDINGS OF BRAZILIAN SYMPOSIUM ON UBIQUITOUS AND PERVASIVE COMPUTING (SBCUP), 17. , 2025, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2025
.
p. 31-40.
ISSN 2595-6183.
DOI: https://doi.org/10.5753/sbcup.2025.7935.
