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I am generally interested in how we make decisions and how irrelevant factors often distort our judgments. In my pre-doctoral time at the Center for Research on Environmental Decisions in Berlin (CREDiBl), I focused on how consumers and citizens judge various kinds of greenhouse gas emissions - some of the work with my wonderful co-authors is shown below. Looking forward, I am interested in better understanding how we interact with new technologies.
If there is a project that sparks your interest, feel free to reach out!
One of several tasks we gave participants. The graph shows the objectively correct rank on the x-axis and the mean subjective rank participants assigned on th y-axis. The red 45°-line indicates perfect accuracy.
Consumers Misestimate Greenhouse Gas Emissions
Consumers Misestimate Greenhouse Gas Emissions
with Jonas Ludwig, Eli R. Sugerman and Eric J. Johnson
Do consumers know which behaviors are relatively more effective at curbing carbon emissions? What about companies and industry sectors? In this paper, we conduct a series of studies and find that most German consumers are not particularly good at judging carbon emissions. However, consumers do not randomly misjudge things - their errors follow predictable patterns. For example, when people don’t know how much CO₂ something produces, they often rely on simpler cues instead, such as how popular a behavior is among their friends or how much they like a company. These mental shortcuts, while useful in everyday life, can lead to distorted perceptions of what truly helps the climate. By understanding these biases, we can design better ways to improve people’s “carbon competence”, that is, their ability to make informed, climate-friendly choices.
Find the full-paper here.
Dynamic Rank-Order Process Tracing (DROPT)
Dynamic Rank-Order Process Tracing (DROPT)
with Xuwen Hua, Jonas Ludwig, Eli R. Sugerman and Eric J. Johnson
Ranking is ubiquitous in our lives. But how do we actually construct rankings? In this work-in-progress, we trace people's rank-order processes to better understand how they come up with final rankings. Stay tuned for more soon...
(The picture on the right is what ChatGPT deemed an appropriate graphic to describe DROPT. Soon, there will be a more informative graphic.)
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