A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Developing Thermostat User Mental Models to Inform Energy-Saving Design
This paper presents a study investigating the user mental models (UMMs) of ten Canadians, related to home heating systems and smart thermostat (ST) usage. The work contrasts previous investigation (Revell and Stanton in Appl Ergon 45:363–378, 2014), shifting the focus towards STs. Interviews evaluated self-reported behaviour and generated diagrams of UMMs. The research was conducted remotely, using video-calls and an online whiteboard tool. Overall, participants’ conceptualizations echoed a UMM previously observed in literature, recognized as feedback theory. This paper presents novel investigation of ST users, employing comparable methods with previous work. It contrasts results with literature and demonstrates a more uniform ideology among ST users. Furthermore, it utilizes novel methods that support the collection of qualitative data, that can be applied to future studies.
Developing Thermostat User Mental Models to Inform Energy-Saving Design
This paper presents a study investigating the user mental models (UMMs) of ten Canadians, related to home heating systems and smart thermostat (ST) usage. The work contrasts previous investigation (Revell and Stanton in Appl Ergon 45:363–378, 2014), shifting the focus towards STs. Interviews evaluated self-reported behaviour and generated diagrams of UMMs. The research was conducted remotely, using video-calls and an online whiteboard tool. Overall, participants’ conceptualizations echoed a UMM previously observed in literature, recognized as feedback theory. This paper presents novel investigation of ST users, employing comparable methods with previous work. It contrasts results with literature and demonstrates a more uniform ideology among ST users. Furthermore, it utilizes novel methods that support the collection of qualitative data, that can be applied to future studies.
Developing Thermostat User Mental Models to Inform Energy-Saving Design
Environ Sci Eng
Wang, Liangzhu Leon (editor) / Ge, Hua (editor) / Zhai, Zhiqiang John (editor) / Qi, Dahai (editor) / Ouf, Mohamed (editor) / Sun, Chanjuan (editor) / Wang, Dengjia (editor) / Tamas, Ruth (author) / O’Brien, William (author) / Santana Quintero, Mario (author)
International Conference on Building Energy and Environment ; 2022
Proceedings of the 5th International Conference on Building Energy and Environment ; Chapter: 93 ; 867-875
2023-09-05
9 pages
Article/Chapter (Book)
Electronic Resource
English
Programmable thermostat for energy saving
| Online Contents | 2001
Evolving interaction: a qualitative investigation of user mental models for smart thermostat users
| Taylor & Francis Verlag | 2023
| Taylor & Francis Verlag | 2021