Behaviour Nudging for User Acceptance in Smart Blinds Control

A Pilot Study on Behaviour Change and Indoor Environmental Enhancement

Conference Paper (2025)
Author(s)

Wen Ting Li (University of Leeds)

Alessandra Luna-Navarro (TU Delft - Architecture and the Built Environment)

Pedro de la Barra Luegmayer (TU Delft - Architecture and the Built Environment)

Michele Win Tai Mak (University of Leeds)

Han Fang (University of Leeds)

Research Group
Building Design & Technology
DOI related publication
https://doi.org/10.63044/eq25li7 Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Building Design & Technology
Article number
A07
Publisher
American Society of Heating Refrigerating and Air-Conditioning Engineers
ISBN (electronic)
9781955516945
Event
IEQ 2025 Conference (2025-09-24 - 2025-09-26), Montreal, Canada
Page Views
30

Abstract

Automated blinds represent a smart façade strategy that responds to real-time environmental conditions and user needs, dynamically modulating daylight and radiant heat gain to support energy performance and enhance indoor thermal and visual comfort in buildings. However, user disengagement and frequent manual overrides challenge their effectiveness. This override behaviour often stems from a lack of perceived control and insufficient awareness of environmental benefits. Behavioural nudging, particularly through gamification, offers a promising approach to encourage user interaction with automated systems without compromising autonomy. Despite its success in fields such as health and education, limited research has explored its application in the control systems for the built environment. This study explores how gamification can function as a behavioural nudge in smart environmental controls by implementing an exploratory questionnaire focused on user engagement, preferences, and decision-making in the context of automated blinds. A structured questionnaire was proposed to explore the impact of gamification elements, such as feedback, incentives, and social comparison-while accounting for user-specific factors like personality and familiarity with smart technologies. Preliminary results indicate that personalised feedback and peer-based comparisons enhance engagement and system acceptability. These findings offer early guidance for designing human-centric adaptive systems that balance automation with user participation, supporting energy efficiency and well-being in indoor environments.