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Award Abstract # 1658804
Understanding and correcting misperceptions of energy use

NSF Org: SES
Division of Social and Economic Sciences
Recipient: TRUSTEES OF INDIANA UNIVERSITY
Initial Amendment Date: January 25, 2017
Latest Amendment Date: March 20, 2020
Award Number: 1658804
Award Instrument: Continuing Grant
Program Manager: Robert O'Connor
roconnor@nsf.gov
 (703)292-7263
SES
 Division of Social and Economic Sciences
SBE
 Directorate for Social, Behavioral and Economic Sciences
Start Date: February 1, 2017
End Date: January 31, 2022 (Estimated)
Total Intended Award Amount: $499,561.00
Total Awarded Amount to Date: $499,561.00
Funds Obligated to Date: FY 2017 = $417,656.00
FY 2018 = $27,512.00

FY 2020 = $54,393.00
History of Investigator:
  • Shahzeen Attari (Principal Investigator)
    sattari@iu.edu
  • David Landy (Co-Principal Investigator)
Recipient Sponsored Research Office: Indiana University
107 S INDIANA AVE
BLOOMINGTON
IN  US  47405-7000
(317)278-3473
Sponsor Congressional District: 09
Primary Place of Performance: Indiana University
1315 E. 10th St.
Bloomington
IN  US  47405-1701
Primary Place of Performance
Congressional District:
09
Unique Entity Identifier (UEI): YH86RTW2YVJ4
Parent UEI:
NSF Program(s): Decision, Risk & Mgmt Sci
Primary Program Source: 01001718DB NSF RESEARCH & RELATED ACTIVIT
01001819DB NSF RESEARCH & RELATED ACTIVIT

01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):
Program Element Code(s): 132100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.075

ABSTRACT

Many people misunderstand where the energy comes from and how the bulk of it is used. Previous research on energy perception has not produced a sufficiently clear picture of how people gauge personal and societal energy consumption. The goal of this project is to transform the methodological and theoretical frameworks for characterizing and correcting perception of household and nationwide energy use. The researcher teams collects data from energy experts as well as novices in order to identify differences in how experts versus novices conceptualize energy systems and energy consumption. These differences among conceptual models helps to develop messages to correct the way novices understand energy use and energy systems. In short, this project leads to new understanding of the perception of energy use, of how misperceptions can be corrected, and of the role of good system understanding in shaping public perception of how best to conserve energy in the home and nationwide.

There are two main research questions: [A] How do expert and novice mental models of energy use differ? and [B] What methods are effective in correcting misperceptions of energy use? To answer the first question, experiments identify what kinds of expertise that predict accurate perceptions of (1) small- and (2) large-scale energy use, (3) investigate what heuristics or causal reasons are used to make these estimates, and (4) identify the similarity structure among appliance categories. In [B], studies correct misperceptions identified in [A] by creating and testing methods for helping novices construct mental models and heuristics more similar to those used by experts. This project is distinct from most work on scientific explanations in that the primary relevant context (energy use estimation) is highly quantifiable and lies on a single scale. This property allows the researchers uniquely to combine psychophysics, heuristics, and causal explanations--three important but previously largely separate fields of cognitive psychology--and to bring the combination to bear on a complex real-world problem. Project findings contribute to new methods and theories for assessing and correcting energy perception. Based on the research results, the team will create an online open-access training tool that will increase public scientific literacy about energy and will support enhanced public engagement with science and technology.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Attari, Shahzeen Z "Transforming energy use" Current Opinion in Behavioral Sciences , v.42 , 2021 https://doi.org/10.1016/j.cobeha.2021.04.008 Citation Details
Geiger, Nathaniel and Gore, Anagha and Squire, Claire V. and Attari, Shahzeen Z. "Investigating similarities and differences in individual reactions to the COVID-19 pandemic and the climate crisis" Climatic Change , v.167 , 2021 https://doi.org/10.1007/s10584-021-03143-8 Citation Details
Kantenbacher, Joseph and Attari, Shahzeen Z. "Better rules for judging joules: Exploring how experts make decisions about household energy use" Energy Research & Social Science , v.73 , 2021 https://doi.org/10.1016/j.erss.2021.101911 Citation Details
Lundberg, Daniel C. and Tang, Janine A. and Attari, Shahzeen Z. "Easy but not effective: Why ?turning off the lights? remains a salient energy conserving behaviour in the United States" Energy Research & Social Science , v.58 , 2019 10.1016/j.erss.2019.101257 Citation Details
Marghetis, Tyler and Attari, Shahzeen Z. and Landy, David "Simple interventions can correct misperceptions of home energy use" Nature Energy , v.4 , 2019 10.1038/s41560-019-0467-2 Citation Details
Miniard, Deidra and Attari, Shahzeen Z. "Turning a coal state to a green state: Identifying themes of support and opposition to decarbonize the energy system in the United States" Energy Research & Social Science , v.82 , 2021 https://doi.org/10.1016/j.erss.2021.102292 Citation Details
Miniard, Deidra and Kantenbacher, Joseph and Attari, Shahzeen Z. "Shared vision for a decarbonized future energy system in the United States" Proceedings of the National Academy of Sciences , v.117 , 2020 https://doi.org/10.1073/pnas.1920558117 Citation Details
Schille-Hudson, E. B. and Marghetis, T. and Miniard, D. and Landy, D. and & Attari, S. Z. "Big, hot, or bright? Integrating cues to perceive home energy use." Proceedings of the 41st Cognitive Science Society , 2019 Citation Details
Sparkman, Gregg and Attari, Shahzeen Z. and Weber, Elke U. "Moderating spillover: Focusing on personal sustainable behavior rarely hinders and can boost climate policy support" Energy Research & Social Science , v.78 , 2021 https://doi.org/10.1016/j.erss.2021.102150 Citation Details
Waldman, Kurt B and Guido, Zack and Todd, Peter M and Evans, Tom P and Carrico, Amanda and Attari, Shahzeen Z "Reorienting climate decision making research for smallholder farming systems through decision science" Current Opinion in Environmental Sustainability , v.52 , 2021 https://doi.org/10.1016/j.cosust.2021.08.002 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

Energy use varies by application, but humans are cognitively challenged to make quick calculations about how much energy is being used by any given activity and what kinds of resources supply our energy system. Research on perceptions of energy use has shown that misperceptions are rampant at both the micro and macro scale, ranging from appliance-level misestimations of energy use to system-wide misunderstandings of where energy comes from and how the bulk of it is used. In this project we explored how participants estimate energy use and the energy mix of the United States, methods to correct misperceptions, and motivations for decarbonizing our energy system. We collected data from novices and energy experts using quantitative data via closed ended online and paper surveys and qualitative data via open-ended face-to-face interviews. Some of our research highlights are as follows:

(1) We tested two different scalable interventions to improve energy perceptions- providing numerical information and providing an explicit heuristic ("large appliances that heat and cool use more energy than we think"). We find that both interventions improve energy perceptions and that the heuristic improved judgments about energy conservation.

(2) We created an energy heuristic library by interviewing 30 energy experts (electrical engineers, energy consultants, and physicists) to improve energy perceptions and understanding.

(3) We find that there is bipartisan support for a decarbonized energy future across liberal and conservative participants. Although there is a shared vision for decarbonization in 2050, there are partisan differences regarding the policy pathways for getting there.

(4) By surveying and interviewing Indiana residents, we find that most participants want a decarbonized state energy mix in 2050 that primarily relies on solar and wind and decreases the use of fossil fuels. Support for decarbonization is driven by themes of protecting the environment and public health, reducing pollution, improving the economy, using low cost and available resources, and holding polluters accountable. We find that climate change is not a strong motivating factor for this sample. In contrast, opposition to decarbonization is driven by economic and employment concerns, fear, lack of familiarity, doubting the feasibility of renewable sources, and concerns about fairness.

Our work has several broader impacts for how we can correct misperceptions of energy use and identifying motivating factors that promote decarbonization. By creating a library of expert energy heuristics, we can start replacing less effective heuristics for energy conservation (such as "turning off the lights") with more effective ones ("replacing incandescent bulbs with LEDs"). We have also identified scalable interventions using heuristics to effectively correct misperceptions about energy use. This work has been shared with a variety of different audiences such as the American Museum of Natural History, Rotary club chapters in Indiana, Lawrence Livermore National Laboratory, Indiana Academy of Sciences, and many others. Many of our research papers have also received media attention from outlets like the Washington Post, New York Times, and Forbes.

 


Last Modified: 03/16/2022
Modified by: Shahzeen Attari

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