Abstract
As global environmental challenges intensify, sustainable human-computer interaction (SHCI) research has gained increasing importance. Eco-feedback technology, which monitors and provides feedback on individuals' environmental impact, plays a crucial role in promoting sustainable behaviors. However, existing eco-feedback mechanisms exhibit significant limitations, including monotonous feedback formats and content, lack of fine-grained perception of individual energy behaviors and personalized feedback, and inadequate integration of multi-source energy information for real-time targeted responses. These limitations result in users' vague understanding of their energy consumption patterns and difficulty translating energy conservation awareness into concrete actions. This problem is particularly pronounced in office environments where users typically do not bear direct costs and responsibility is diffused. This study focuses on office energy scenarios and proposes a contextualized eco-feedback system incorporating wearable technology. Based on action-reflection theory and real- time context recognition through multi-data fusion, we developed a wearable-based feedback system that provides layered energy feedback tailored to users' different contextual situations. To validate the system's effectiveness in influencing user awareness and behaviors in office energy contexts, we conducted evaluations against traditional eco-feedback systems. Results demonstrate that our system significantly outperforms conventional eco-feedback approaches in enhancing both user energy awareness and sustainable behaviors. By integrating wearable technology, this research achieves contextualized energy eco-feedback, addressing the shortcomings of traditional systems. The study not only provides an innovative solution for office energy scenarios but also offers new research directions and practical paradigms for the future development of SHCI.
Keywords
Sustainable HCI; Eco-feedback; Wearable; Office Energy
DOI
https://doi.org/10.21606/iasdr.2025.1015
Citation
Chen, L., Chen, J., Qu, N., Wang, Q.,and Lou, Y.(2025) Designing Wearable-Supported Contextualised Eco-Feedback System for Enhancing Sustainable Office Energy Behaviour, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.1015
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 8 - Circular/Sustainable Design
Designing Wearable-Supported Contextualised Eco-Feedback System for Enhancing Sustainable Office Energy Behaviour
As global environmental challenges intensify, sustainable human-computer interaction (SHCI) research has gained increasing importance. Eco-feedback technology, which monitors and provides feedback on individuals' environmental impact, plays a crucial role in promoting sustainable behaviors. However, existing eco-feedback mechanisms exhibit significant limitations, including monotonous feedback formats and content, lack of fine-grained perception of individual energy behaviors and personalized feedback, and inadequate integration of multi-source energy information for real-time targeted responses. These limitations result in users' vague understanding of their energy consumption patterns and difficulty translating energy conservation awareness into concrete actions. This problem is particularly pronounced in office environments where users typically do not bear direct costs and responsibility is diffused. This study focuses on office energy scenarios and proposes a contextualized eco-feedback system incorporating wearable technology. Based on action-reflection theory and real- time context recognition through multi-data fusion, we developed a wearable-based feedback system that provides layered energy feedback tailored to users' different contextual situations. To validate the system's effectiveness in influencing user awareness and behaviors in office energy contexts, we conducted evaluations against traditional eco-feedback systems. Results demonstrate that our system significantly outperforms conventional eco-feedback approaches in enhancing both user energy awareness and sustainable behaviors. By integrating wearable technology, this research achieves contextualized energy eco-feedback, addressing the shortcomings of traditional systems. The study not only provides an innovative solution for office energy scenarios but also offers new research directions and practical paradigms for the future development of SHCI.