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The Development and Validation of an Artificial Intelligence Chatbot Dependence Scale.

Xing Zhang¹, Mingyue Yin², Mingyang Zhang³

¹Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain.

Cyberpsychology, Behavior and Social Networking

|November 26, 2024

Summary

Researchers developed and validated a new scale to measure dependence on artificial intelligence (AI) chatbots. This tool effectively assesses how much individuals rely on AI chatbots in their daily routines.

Keywords:

Chat GPT artificial intelligence chatbot dependence psychological tests scale development

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Area of Science:

Psychology
Human-Computer Interaction
Artificial Intelligence

Background:

The proliferation of artificial intelligence (AI) chatbots has led to their widespread integration into daily life.
Increased AI chatbot use raises concerns about user dependence.
A validated scale to measure AI chatbot dependence was previously unavailable.

Purpose of the Study:

To develop and validate a reliable and effective scale for assessing AI chatbot dependence.

Main Methods:

Initial scale items were sourced from existing literature and in-depth interviews.
Psychometric validation involved item analysis, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA).
Reliability and validity analyses were conducted on the developed scale.

Main Results:

Item analysis and EFA yielded a single-factor model with eight items, explaining 58.42% of the variance.
CFA confirmed acceptable model fit with standardized loadings between 0.50 and 0.76.
The AI chatbot dependence scale demonstrated good reliability and validity.

Conclusions:

A robust and validated scale for measuring AI chatbot dependence has been successfully developed.
This scale can be effectively utilized to evaluate individual reliance on AI chatbots in everyday contexts.