Evaluating Artificial Intelligence Use and Its Psychological Correlates via Months of Web-Browsing Data

Despite widespread discussions about artificial intelligence (AI) and its impact on society, little work has objectively measured how often people use this technology in the wild. The present article collected up to 90 days of web-browsing data from students (Study 1: <i>N =</i> 499) and those in the general public (Study 2: <i>N</i> = 455), quantifying how often people used AI and evaluating the psychological correlates of such use. Upon coding 4.1 million websites in Study 1 and 9.9 million websites in Study 2, the evidence suggested that AI use was relatively infrequent, totaling 1% of student web-browsing and 0.44% of general public web-browsing, on average. The most consistent predictors of AI use across studies were aversive personality traits (e.g., Machiavellianism, narcissism, psychopathy), albeit the traits were differentially associated with AI use across studies. Demographics were largely unrelated to AI use across studies. Finally, we observed that self-reported AI use and actual AI use were only moderately correlated (ρ = 0.329), suggesting limitations in subjective measures of media use. These findings provide some of the first behavioral measurements of AI in naturalistic settings and establish important benchmarks for understanding the individual differences associated with AI adoption.

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Publication Details

Journal
Cyberpsychology Behavior and Social Networking
Published
2025-09-22
DOI
https://doi.org/10.1177/21522715251379987
Citations
1
Primary Topic
Personality Traits and Psychology
Type
article
Field-Weighted Citation Impact
2.31
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article

Evaluating Artificial Intelligence Use and Its Psychological Correlates via Months of Web-Browsing Data

Brandon Van Der Heide, Rui Zhu, David M. Markowitz, Emily K McKinley
1 citations
Cyberpsychology Behavior and Social Networking
Personality Traits and Psychology
2.31
article

Evaluating Artificial Intelligence Use and Its Psychological Correlates via Months of Web-Browsing Data

Brandon Van Der Heide, Rui Zhu, David M. Markowitz, Emily K McKinley
article en
1 citations

Abstract

Despite widespread discussions about artificial intelligence (AI) and its impact on society, little work has objectively measured how often people use this technology in the wild. The present article collected up to 90 days of web-browsing data from students (Study 1: <i>N =</i> 499) and those in the general public (Study 2: <i>N</i> = 455), quantifying how often people used AI and evaluating the psychological correlates of such use. Upon coding 4.1 million websites in Study 1 and 9.9 million websites in Study 2, the evidence suggested that AI use was relatively infrequent, totaling 1% of student web-browsing and 0.44% of general public web-browsing, on average. The most consistent predictors of AI use across studies were aversive personality traits (e.g., Machiavellianism, narcissism, psychopathy), albeit the traits were differentially associated with AI use across studies. Demographics were largely unrelated to AI use across studies. Finally, we observed that self-reported AI use and actual AI use were only moderately correlated (ρ = 0.329), suggesting limitations in subjective measures of media use. These findings provide some of the first behavioral measurements of AI in naturalistic settings and establish important benchmarks for understanding the individual differences associated with AI adoption.

Cyberpsychology Behavior and Social NetworkingVol. 28(10)
University of California, Davis (US), Michigan State University (US)
Openalex Percentile: Top 10%
Personality Traits and Psychology
2.31
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Evaluating Artificial Intelligence Use and Its Psychological Correlates via Months of Web-Browsing Data — Brandon Van Der Heide, Rui Zhu, et al. · Cyberpsychology Behavior and Social Networking (2025) | TGRS Research Map | TGRS