L
Lyn M. Van Swol
Researcher at University of Wisconsin-Madison
Publications - 87
Citations - 2535
Lyn M. Van Swol is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Deception & Computer science. The author has an hindex of 19, co-authored 71 publications receiving 2068 citations. Previous affiliations of Lyn M. Van Swol include University of Illinois at Urbana–Champaign & Northwestern University.
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Journal ArticleDOI
Investigating variation in replicability: A “Many Labs” replication project
Richard A. Klein,Kate A. Ratliff,Michelangelo Vianello,Reginald B. Adams,Štěpán Bahník,Michael J. Bernstein,Konrad Bocian,Mark J. Brandt,Beach Brooks,Claudia Chloe Brumbaugh,Zeynep Cemalcilar,Jesse Chandler,Winnee Cheong,William E. Davis,Thierry Devos,Matthew Eisner,Natalia Frankowska,David Furrow,Elisa Maria Galliani,Fred Hasselman,Joshua A. Hicks,James Hovermale,S. Jane Hunt,Jeffrey R. Huntsinger,Hans IJzerman,Melissa-Sue John,Jennifer A. Joy-Gaba,Heather Barry Kappes,Lacy E. Krueger,Jaime L. Kurtz,Carmel A. Levitan,Robyn K. Mallett,Wendy L. Morris,Anthony J. Nelson,Jason A. Nier,Grant Packard,Ronaldo Pilati,Abraham M. Rutchick,Kathleen Schmidt,Jeanine L. M. Skorinko,Robert W. Smith,Troy G. Steiner,Justin Storbeck,Lyn M. Van Swol,Donna Thompson,A. E. van ‘t Veer,Leigh Ann Vaughn,Marek A. Vranka,Aaron L. Wichman,Julie A. Woodzicka,Brian A. Nosek +50 more
TL;DR: The authors compared variation in the replicability of 13 classic and contemporary effects across 36 independent samples totaling 6,344 participants and found that the results of these experiments are more dependent on the effect itself than on the sample and setting used to investigate the effect.
Journal ArticleDOI
Trust, Confidence, and Expertise in a Judge-Advisor System.
Janet A. Sniezek,Lyn M. Van Swol +1 more
TL;DR: Judges had higher and more variable ratings of trust in their partner than did Advisors, suggesting that Judges were more motivated to evaluate trust and high confidence by Advisors had a positive impact on Judges' ratings of Trust and tendency to follow their advice.
Journal ArticleDOI
Factors affecting the acceptance of expert advice.
Lyn M. Van Swol,Janet A. Sniezek +1 more
TL;DR: This paper expands research on the judge advisor system (JAS) by examining advice utilization and trust and found that of the five variables, advisor confidence was the only significant predictor of the judge matching the advisor.
Journal ArticleDOI
Understanding algorithm aversion: When is advice from automation discounted?
Andrew Prahl,Lyn M. Van Swol +1 more
TL;DR: The authors found that after receiving bad advice, utilization of automated advice decreased significantly more than advice from humans and that decision makers describe themselves as having much more in common with human than automated advisors despite there being no interpersonal relationship.
Journal ArticleDOI
Information Sampling and Confidence Within Groups and Judge Advisor Systems
TL;DR: Judges felt more responsible for, reported putting more effort toward, and had higher confidence in the decision than did group members, and there was more inequity of participation and consensus seeking in JASs compared to groups.