Human-AI Cognitive Divide: An Empirical Investigation

This research study compares human practitioners to large language models (LLMs) to examine cognitive thinking and personality traits using the Big Five personality framework when creating or generating the programme or coding. Data were collected for the 10 different LLMs and 20 human practitioners (developers or programmers) using semi-structured questionnaires through prompts and face-to-face interviews, and data were analysed using qualitative data analysis techniques such as thematic analysis and content analysis, using NVivo software. The results of the study show that openness, conscientiousness and agreeableness are significant personality traits in LLMs, such as problem solving, adaptation to new technologies, proficiency in multiple programming languages and creative approach. Developers or programmers have high personality traits such as extraversion and neuroticism, such as team dynamics, leadership, team commitment, anxiety, stress, overthinking and happiness at work.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-15
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human-AI Cognitive Divide: An Empirical Investigation

Journal of the Association for Information Systems
Magnetic confinement fusion research
article

Human-AI Cognitive Divide: An Empirical Investigation

article en

Abstract

This research study compares human practitioners to large language models (LLMs) to examine cognitive thinking and personality traits using the Big Five personality framework when creating or generating the programme or coding. Data were collected for the 10 different LLMs and 20 human practitioners (developers or programmers) using semi-structured questionnaires through prompts and face-to-face interviews, and data were analysed using qualitative data analysis techniques such as thematic analysis and content analysis, using NVivo software. The results of the study show that openness, conscientiousness and agreeableness are significant personality traits in LLMs, such as problem solving, adaptation to new technologies, proficiency in multiple programming languages and creative approach. Developers or programmers have high personality traits such as extraversion and neuroticism, such as team dynamics, leadership, team commitment, anxiety, stress, overthinking and happiness at work.

Journal of the Association for Information Systems
Reduced inequalities
Openalex Percentile: Top 51%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.