most citedLLM-D12: A Dual-Dimensional Scale of Instrumental and Relational Dependencies on Large Language Models

29 citations · 31 across the 6 of their papers we have counts for

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cs.HC2025

Developing and Validating the Arabic Version of the Attitudes Toward Large Language Models Scale

Basad Barajeeh, Ala Yankouskaya, Sameha AlShakhsi +3

As the use of large language models (LLMs) becomes increasingly global, understanding public attitudes toward these systems requires tools that are adapted to local contexts and la…

cs.HC2025

Protege Effect for Behaviour Change: Does Teaching Digital Stress Solutions to Others Reduce One's Own?

Sameha Alshakhsi, Ala Yankouskaya, Dena Al-Thani +1

The protégé effect suggests that individuals learn a subject more effectively when they teach it to others. Can we therefore assume that when individuals with a problematic behavio…

cs.HC2025

Debiasing the Influence of Demographic and Appearance Cues in Social Engineering via Role-Taking: Negative Results

Tourjana Islam Supti, Israa Abuelezz, Aya Muhanad +5

This study investigates the efficacy of role-taking and literacy-based interventions in reducing the influence of appearance cues, such as gender, age, ethnicity, and clothing styl…

cs.HC2025★ 2 cited

Measuring Large Language Models Dependency: Validating the Arabic Version of the LLM-D12 Scale

Sameha AlShakhsi, Ala Yankouskaya, Magnus Liebherr +1

There is an urgent need for reliable, culturally validated instruments to assess psychological responses to AI in general and large language models (LLMs). This need is global issu…

cs.HC2025★ 29 cited

LLM-D12: A Dual-Dimensional Scale of Instrumental and Relational Dependencies on Large Language Models

Ala Yankouskaya, Areej B. Babiker, Syeda W. F. Rizvi +3

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 to…