LLM-D12: A Dual-Dimensional Scale of Instrumental and Relational Dependencies on Large Language Models
Ala Yankouskaya, Areej B. Babiker, Syeda W. F. Rizvi, Sameha Alshakhsi, Magnus Liebherr, Raian Ali

TL;DR
This paper introduces and validates LLM-D12, a new 12-item scale measuring two types of dependency on large language models: instrumental and relational, based on a large UK sample.
Contribution
The study develops and validates a novel dual-dimensional scale for assessing different facets of dependency on LLMs, addressing limitations of previous tools.
Findings
Two-factor structure: Instrumental and Relationship Dependency
Scale shows excellent internal consistency and discriminant validity
External validation supports the scale's conceptual foundation
Abstract
There is growing interest in understanding how people interact with large language models (LLMs) and whether such models elicit dependency or even addictive behaviour. Validated tools to assess the extent to which individuals may become dependent on LLMs are scarce and primarily build on classic behavioral addiction symptoms, adapted to the context of LLM use. We view this as a conceptual limitation, as the LLM-human relationship is more nuanced and warrants a fresh and distinct perspective. To address this gap, we developed and validated a new 12-item questionnaire to measure LLM dependency, referred to as LLM-D12. The scale was based on the authors' prior theoretical work, with items developed accordingly and responses collected from 526 participants in the UK. Exploratory and confirmatory factor analyses, performed on separate halves of the total sample using a split-sample approach,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
