How Education and Tech Savvy Perception Shape AI Interactions

Mriganka Biswas; John Murray

doi:10.1109/RO-MAN60168.2024.10731306

How Education and Tech Savvy Perception Shape AI Interactions

Mriganka Biswas, John Murray

University of Sunderland

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This study examines how education level and self-perceived 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, self-reported 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.

Original language	English
Title of host publication	33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024
Publisher	IEEE Computer Society
Pages	985-990
Number of pages	6
ISBN (Electronic)	9798350375022
ISBN (Print)	9798350375039
DOIs	https://doi.org/10.1109/RO-MAN60168.2024.10731306
Publication status	Published - 30 Oct 2024
Externally published	Yes
Event	33rd IEEE International Conference on Robot and Human Interactive Communication - Pasadena, United States Duration: 26 Aug 2024 → 30 Aug 2024 https://www.ro-man2024.org/

Publication series

Name	IEEE International Workshop on Robot and Human Communication, RO-MAN
Publisher	IEEE
ISSN (Print)	1944-9445
ISSN (Electronic)	1944-9437

Conference

Conference	33rd IEEE International Conference on Robot and Human Interactive Communication
Abbreviated title	ROMAN 2024
Country/Territory	United States
City	Pasadena
Period	26/08/24 → 30/08/24
Internet address	https://www.ro-man2024.org/

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10.1109/RO-MAN60168.2024.10731306Licence: Unspecified

Cite this

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title = "How Education and Tech Savvy Perception Shape AI Interactions",

abstract = "This study examines how education level and self-perceived 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, self-reported 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, education, habit formation, self-efficacy, technology acceptance",

author = "Mriganka Biswas and John Murray",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 33rd IEEE International Conference on Robot and Human Interactive Communication , ROMAN 2024 ; Conference date: 26-08-2024 Through 30-08-2024",

year = "2024",

month = oct,

day = "30",

doi = "10.1109/RO-MAN60168.2024.10731306",

language = "English",

isbn = "9798350375039",

series = "IEEE International Workshop on Robot and Human Communication, RO-MAN",

publisher = "IEEE Computer Society",

pages = "985--990",

booktitle = "33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024",

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Biswas, M & Murray, J 2024, How Education and Tech Savvy Perception Shape AI Interactions. in 33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024., 10731306, IEEE International Workshop on Robot and Human Communication, RO-MAN, IEEE Computer Society, pp. 985-990, 33rd IEEE International Conference on Robot and Human Interactive Communication , Pasadena, United States, 26/08/24. https://doi.org/10.1109/RO-MAN60168.2024.10731306

How Education and Tech Savvy Perception Shape AI Interactions. / Biswas, Mriganka; Murray, John.
33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024. IEEE Computer Society, 2024. p. 985-990 10731306 (IEEE International Workshop on Robot and Human Communication, RO-MAN).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - How Education and Tech Savvy Perception Shape AI Interactions

AU - Biswas, Mriganka

AU - Murray, John

PY - 2024/10/30

Y1 - 2024/10/30

N2 - This study examines how education level and self-perceived 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, self-reported 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.

AB - This study examines how education level and self-perceived 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, self-reported 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.

KW - Artificial intelligence

KW - education

KW - habit formation

KW - self-efficacy

KW - technology acceptance

UR - https://www.scopus.com/pages/publications/85209809860

U2 - 10.1109/RO-MAN60168.2024.10731306

DO - 10.1109/RO-MAN60168.2024.10731306

M3 - Conference contribution

AN - SCOPUS:85209809860

SN - 9798350375039

T3 - IEEE International Workshop on Robot and Human Communication, RO-MAN

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EP - 990

BT - 33rd IEEE International Conference on Robot and Human Interactive Communication, ROMAN 2024

PB - IEEE Computer Society

T2 - 33rd IEEE International Conference on Robot and Human Interactive Communication

Y2 - 26 August 2024 through 30 August 2024

ER -

How Education and Tech Savvy Perception Shape AI Interactions

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