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Biswas, Mriganka and Murray, John (2024) How Education and Tech Savvy Perception Shape AI Interactions*. 2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN). ISSN 1944-9437

Document

Abstract

Abstract

This study examines how education level and selfperceived tech savviness influence individuals' reliance on AI technologies in their daily lives. We surveyed participants (N=53) with varying educational backgrounds to assess their AI
perceptions (comfort, trust, usefulness, ease of use) and habit formation around AI features. Results reveal that individuals with higher education, especially those with Master's degrees, exhibit significantly stronger reliance on AI tools. Additionally, selfreported tech savviness impacts reliance on AI-powered
recommendations. These findings emphasize the interplay of formal education and self-confidence in shaping AI adoption. Designing inclusive AI interfaces and creating educational interventions tailored to diverse backgrounds are crucial for
promoting AI use and unlocking its full potential for all users.

Keywords: Artificial intelligence, technology acceptance, habit
formation, education, self-efficacy

Item Type: Article
Uncontrolled Keywords: {Computer science;Educational programs;Shape;Navigation;Education;Learning (artificial intelligence);Problem-solving;Artificial intelligence;Robots;Recommender systems;Artificial intelligence;technology acceptance;habit formation;education;self-efficacy},
Related URLs:
Depositing User: Mriganka Biswas
URI: https://sure.sunderland.ac.uk/id/eprint/17910

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More Information

Uncontrolled Keywords
{Computer science;Educational programs;Shape;Navigation;Education;Learning (artificial intelligence);Problem-solving;Artificial intelligence;Robots;Recommender systems;Artificial intelligence;technology acceptance;habit formation;education;self-efficacy},
Depositing User

Identifiers

Item ID
17910
Identification Number
ISSN
1944-9437

Users with ORCIDS

ORCID for Mriganka Biswas
ORCID for John Murray

Catalogue record

Date Deposited
24 Jul 2024 11:02
Last Modified
26 Nov 2025 09:09

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