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Thermostat Anchors: Do Temperature Scale Characteristics Affect the Selection of Temperature Setpoints for Residential Homes?

Author

Listed:
  • Torsten Reimer

    (Communication and Cognition Lab, Brian Lamb School of Communication, Purdue University, West Lafayette, IN 47907, USA)

  • Jeonghyun Oh

    (Department of Communication Studies, University of Alabama, Tuscaloosa, AL 35487, USA)

  • Juan Pablo Loaiza-Ramírez

    (Communication and Cognition Lab, Brian Lamb School of Communication, Purdue University, West Lafayette, IN 47907, USA)

  • Hayden Barber

    (School of Communication and Journalism, South Dakota State University, Brookings, SD 57007, USA)

Abstract

Characteristics of scales, such as the labels that are used on scales, have been shown to affect judgments. The scale-dependency hypothesis predicts specific effects of the properties of a temperature scale on residents’ choices of temperature setpoints. Based on the literature on anchoring in judgment and decision making, we assessed the effects of the displayed current temperature, midpoint, range, and increment of temperature scales on the selection of setpoint temperatures for residential homes. Participants ( N = 384) were asked to imagine that they work as a manager of a residential apartment complex and to select, in this function, setpoint temperatures for incoming residents. The experiment revealed independent effects of the current temperature as well as the midpoint and range of the used scale on the selected setpoints. The scale increment did not systematically affect the chosen temperatures.

Suggested Citation

  • Torsten Reimer & Jeonghyun Oh & Juan Pablo Loaiza-Ramírez & Hayden Barber, 2024. "Thermostat Anchors: Do Temperature Scale Characteristics Affect the Selection of Temperature Setpoints for Residential Homes?," Sustainability, MDPI, vol. 16(6), pages 1-11, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2540-:d:1360223
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    References listed on IDEAS

    as
    1. Ghahramani, Ali & Zhang, Kenan & Dutta, Kanu & Yang, Zheng & Becerik-Gerber, Burcin, 2016. "Energy savings from temperature setpoints and deadband: Quantifying the influence of building and system properties on savings," Applied Energy, Elsevier, vol. 165(C), pages 930-942.
    2. Nathanael Johnson & Torsten Reimer, 2023. "The Adoption and Use of Smart Assistants in Residential Homes: The Matching Hypothesis," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    3. Parsons, George & Yan, Lingxiao, 2021. "Anchoring on visual cues in a stated preference survey: The case of siting offshore wind power projects," Journal of choice modelling, Elsevier, vol. 38(C).
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