Betsy Lehman

PhD, Applied Cognitive Science & Human Factors



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Betsy Lehman

PhD, Applied Cognitive Science & Human Factors


Curriculum vitae



Cognitive and Learning Sciences

Michigan Technological University




Betsy Lehman

PhD, Applied Cognitive Science & Human Factors



Cognitive and Learning Sciences

Michigan Technological University



Projects


Current & Past


 🎓 Dissertation

A research project on questioning one's perspectives or frames about ambiguous situations, as a precursor to changing one's frame, through the lens of the data-frame model of sensemaking and motivated reasoning. Encouraging questioning a frame is relevant in everyday social situations, as well as "higher stakes" domains like climate change and gender bias wherein people are motivated to maintain their frames, regardless of how accurate they may be. Seven studies have explored the impact of factors like mutability and availability of alternatives in questioning, created a predictive path model of these factors, and tested counterfactual strategies to promote questioning in everyday ambiguous situations and in hiring paradigms. 

Conference presentations:

SPSP 2024: "[268]Comparing Two Strategies for Frame Questioning: Providing Counterfactuals is More Effective than Self-Generation" (PDF)
JDM 2023: "Questioning in sensemaking: When counterfactual strategies are effective" (PDF)
CogSci 2022: "Changing Perspectives: Examining Factors Related To Counterfactual Thinking In Ambiguous Social Judgments" (PDF)
APS 2022: "X-45 - Easy Does It: Ease of Generating Explanations and Ambiguity Increase Questioning One’s Frame during Sensemaking" (PDF)

 📈 ADVANCE at MTU

Evaluating programs run through an NSF ADVANCE grant (#1760585) to improve knowledge, attitudes, and behavioral intentions regarding faculty gender diversity. Analyses are performed using quantitative and qualitative methods, and evaluations are used to improve programming.

Articles:

 Journal of Higher Education Policy and Management: Effects of repeated implicit bias training in a North American university

❄️ Affective Climate Images

 A project to create a database of images to be used as stimuli in climate-related research. Participants rated 320 images on their relevance to climate change as well as their emotional valance and arousal. Participants with greater pro-environmental dispositions were more likely to give higher climate-relevance ratings in general, and were later found to show more attention bias toward climate-relevant images in a dot-probe task.

Database:

Articles:

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