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Management Sciences and Quantitative Methods Commons

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Full-Text Articles in Management Sciences and Quantitative Methods

Confirmation Bias Susceptibility: Social Domains, Metacognitive Self, And Gender, Emily N. Roush Oct 2021

Confirmation Bias Susceptibility: Social Domains, Metacognitive Self, And Gender, Emily N. Roush

Student Publications

Confirmation bias is a daily and commonly under-recognized cognitive bias, one in which requires more research. More specifically, confirmation bias is when individuals seek out information to confirm beliefs and reject opposing views. This phenomenon is readily studied in economics and psychology to name a few. However, confirmation bias is often neglected in an empirical setting. Thus, with a gap in the literature, this study tested the susceptibility of confirmation bias in college students, and utilized social domains, Metacognitive Self Score (MCS), and gender to predict the level of confirmation bias. Using a between-subjects design, participants were randomly assigned to …


Using Noninvasive Brain Measurement To Explore The Psychological Effects Of Computer Malfunctions On Users During Human-Computer Interactions, Leanne M. Hirshfield, Philip Bobko, Alex Barelka, Stuart H. Hirshfield, Mathew T. Farrington, Spencer Gulbronson, Diane Paverman Jan 2014

Using Noninvasive Brain Measurement To Explore The Psychological Effects Of Computer Malfunctions On Users During Human-Computer Interactions, Leanne M. Hirshfield, Philip Bobko, Alex Barelka, Stuart H. Hirshfield, Mathew T. Farrington, Spencer Gulbronson, Diane Paverman

Management Faculty Publications

In today’s technologically driven world, there is a need to better understand the ways that common computer malfunctions affect computer users. These malfunctions may have measurable influences on computer user’s cognitive, emotional, and behavioral responses. An experiment was conducted where participants conducted a series of web search tasks while wearing functional nearinfrared spectroscopy (fNIRS) and galvanic skin response sensors. Two computer malfunctions were introduced during the sessions which had the potential to influence correlates of user trust and suspicion. Surveys were given after each session to measure user’s perceived emotional state, cognitive load, and perceived trust. Results suggest that fNIRS …