Research Overview
Theory of Machine
GenAI needs Psychology. Jenn Logg's research addresses one of the most pressing issues faced by organizations, the Last Mile Problem. She describes the last mile problem as the gap between producing and utilizing analytical insights (Logg, 2022). Algorithms can only improve predictive accuracy if people are willing to listen. Similarly, GenAI can only improve decision making if people understand the optimal way to collaborate with it. Thus, her work takes a psychological perspective to GenAI and algorithms.
She examines how people respond to algorithmic advice. Additionally she uses behavioral experiments to identify
She calls this program of research Theory of Machine; a twist on the classic "theory of mind" from philosophy. Broadly, this work examines how people expect algorithmic and human judgment to differ from each other in their: input, process, and output. Understanding how people respond to algorithms will help solve the last mile problem and realize the full potential of algorithms. This program of research asks:
GenAI Collaboration Strategies Does it matter how people utilize GenAI? Are there costs associated with different strategies?
Algorithm Appreciation When are people willing to leverage the power of algorithmic advice to improve their predictive accuracy?
Algorithmic Hiring When do applicants prefer to have their application packet assessed by an algorithm or person?
Robo-Coaching When do people prefer performance feedback from an algorithm to feedback from a person?
She examines how people respond to algorithmic advice. Additionally she uses behavioral experiments to identify
She calls this program of research Theory of Machine; a twist on the classic "theory of mind" from philosophy. Broadly, this work examines how people expect algorithmic and human judgment to differ from each other in their: input, process, and output. Understanding how people respond to algorithms will help solve the last mile problem and realize the full potential of algorithms. This program of research asks:
GenAI Collaboration Strategies Does it matter how people utilize GenAI? Are there costs associated with different strategies?
Algorithm Appreciation When are people willing to leverage the power of algorithmic advice to improve their predictive accuracy?
Algorithmic Hiring When do applicants prefer to have their application packet assessed by an algorithm or person?
Robo-Coaching When do people prefer performance feedback from an algorithm to feedback from a person?
Overconfidence
When do people fail to view themselves and their work realistically? Logg's second line of research investigates overconfidence, the most pervasive cognitive bias. Her work offers new insights into both the antecedents and consequences of overly positive self-views. This program of research asks:
Everybody Argues and Everybody Wins Why does everyone argue when no one is persuaded? Is overestimation of success a driver of debate?
Is overconfidence a motivated bias? Does valuing a particular skill increases people's overconfidence in that skill?
(Too) Optimistic about Optimism Does optimism help performance as much as people expect?
Is overconfidence socially "contagious,"?
Everybody Argues and Everybody Wins Why does everyone argue when no one is persuaded? Is overestimation of success a driver of debate?
Is overconfidence a motivated bias? Does valuing a particular skill increases people's overconfidence in that skill?
(Too) Optimistic about Optimism Does optimism help performance as much as people expect?
Is overconfidence socially "contagious,"?