IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i6p2540-d1360223.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/6/2540/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/6/2540/
    Download Restriction: no
    ---><---

    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. Barbera, Michael & Northey, Gavin & Septianto, Felix & Spanjaard, Daniela, 2018. "Those prices are HOT! How temperature-related visual cues anchor expectations of price and value," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 178-181.
    3. 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.
    4. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Septianto, Felix & Ye, Sheng & Northey, Gavin, 2021. "The effectiveness of advertising images in promoting experiential offerings: An emotional response approach," Journal of Business Research, Elsevier, vol. 122(C), pages 344-352.
    2. Hu, Jianhao & Zhang, Xuan & Chen, Hanyu(Yuki) & Li, Wanyue, 2024. "When it rains, it pours? The impact of weather on customer returns in the brick-and-mortar retail store," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    3. Ghahramani, Ali & Pantelic, Jovan & Lindberg, Casey & Mehl, Matthias & Srinivasan, Karthik & Gilligan, Brian & Arens, Edward, 2018. "Learning occupants’ workplace interactions from wearable and stationary ambient sensing systems," Applied Energy, Elsevier, vol. 230(C), pages 42-51.
    4. Grigorescu Adriana & Ion Amalia Elena, 2020. "Innovation and product management – The direction of the 21st century luxury market," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 14(1), pages 1035-1045, July.
    5. Jianwu Xiong & Linlin Chen & Yin Zhang, 2023. "Building Energy Saving for Indoor Cooling and Heating: Mechanism and Comparison on Temperature Difference," Sustainability, MDPI, vol. 15(14), pages 1-20, July.
    6. Azar, Elie & Nikolopoulou, Christina & Papadopoulos, Sokratis, 2016. "Integrating and optimizing metrics of sustainable building performance using human-focused agent-based modeling," Applied Energy, Elsevier, vol. 183(C), pages 926-937.
    7. Sinha, Rajesh Kumar, 2021. "Subscription and casual customers’ differential sensitivity to meteorological characteristics," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    8. Afroz, Zakia & Urmee, Tania & Shafiullah, G.M. & Higgins, Gary, 2018. "Real-time prediction model for indoor temperature in a commercial building," Applied Energy, Elsevier, vol. 231(C), pages 29-53.
    9. Zhang, Xiangyu & Pipattanasomporn, Manisa & Rahman, Saifur, 2017. "A self-learning algorithm for coordinated control of rooftop units in small- and medium-sized commercial buildings," Applied Energy, Elsevier, vol. 205(C), pages 1034-1049.
    10. Romero Rodríguez, Laura & Sánchez Ramos, José & Álvarez Domínguez, Servando & Eicker, Ursula, 2018. "Contributions of heat pumps to demand response: A case study of a plus-energy dwelling," Applied Energy, Elsevier, vol. 214(C), pages 191-204.
    11. Bui, Dac-Khuong & Nguyen, Tuan Ngoc & Ngo, Tuan Duc & Nguyen-Xuan, H., 2020. "An artificial neural network (ANN) expert system enhanced with the electromagnetism-based firefly algorithm (EFA) for predicting the energy consumption in buildings," Energy, Elsevier, vol. 190(C).
    12. Tian, Xin & Cao, Shasha & Song, Yan, 2021. "The impact of weather on consumer behavior and retail performance: Evidence from a convenience store chain in China," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    13. Jiang, Qi & Penn, Jerrod & Hu, Wuyang, 2024. "Instructional Choice Set to Reduce Hypothetical Bias and Choice Randomness in Discrete Choice Experiments," 2024 Annual Meeting, July 28-30, New Orleans, LA 343917, Agricultural and Applied Economics Association.
    14. Zhang, Fan & de Dear, Richard & Hancock, Peter, 2019. "Effects of moderate thermal environments on cognitive performance: A multidisciplinary review," Applied Energy, Elsevier, vol. 236(C), pages 760-777.
    15. Felix Septianto & Joya A. Kemper & Fandy Tjiptono & Widya Paramita, 2021. "The Role of Authentic (vs. Hubristic) Pride in Leveraging the Effectiveness of Cost Transparency," Journal of Business Ethics, Springer, vol. 174(2), pages 423-439, November.
    16. Guillén-Lambea, Silvia & Rodríguez-Soria, Beatriz & Marín, José M., 2017. "Comfort settings and energy demand for residential nZEB in warm climates," Applied Energy, Elsevier, vol. 202(C), pages 471-486.
    17. Katharina Boudier & Sabine Hoffmann, 2022. "Analysis of the Potential of Decentralized Heating and Cooling Systems to Improve Thermal Comfort and Reduce Energy Consumption through an Adaptive Building Controller," Energies, MDPI, vol. 15(3), pages 1-28, February.
    18. Nick Van Loy & Griet Verbeeck & Elke Knapen, 2021. "Personal Heating in Dwellings as an Innovative, Energy-Sufficient Heating Practice: A Case Study Research," Sustainability, MDPI, vol. 13(13), pages 1-27, June.
    19. Anatolijs Borodinecs & Arturs Palcikovskis & Andris Krumins & Deniss Zajecs & Kristina Lebedeva, 2024. "Assessment of HVAC Performance and Savings in Office Buildings Using Data-Driven Method," Clean Technol., MDPI, vol. 6(2), pages 1-12, June.
    20. Zhao, Dongliang & Lu, Xing & Fan, Tianzhu & Wu, Yuen Shing & Lou, Lun & Wang, Qiuwang & Fan, Jintu & Yang, Ronggui, 2018. "Personal thermal management using portable thermoelectrics for potential building energy saving," Applied Energy, Elsevier, vol. 218(C), pages 282-291.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:6:p:2540-:d:1360223. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.