The Impact of Familiarity Using Generative AI to Influence Intention to Use AI

AI has gained massive popularity in recent years with many tools coming out to be used and help people in daily life, especially AI writing tools. This scientific research investigates engagement and intention to use AI writing tools among students, from middle school to college. Despite the popularity, the study found that several students face issues while engaging with AI that problem can come from the complexity of the AI and the output of the AI, reducing their desire to use it. The research employs the Social Cognitive Theory (SCT) as its framework. Data were collected from 372 students, with 311 meeting the criteria for being processed using SmartPLS. The study's variables include familiarity, engagement (cognitive, behavioral, affective dimensions), and intention to use. The results indicate that five out of six hypotheses were accepted, with one hypothesis which is the relationship between familiarity and affective engagement being rejected. And the rest of the hypotheses are being accepted with a significant result

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Publication Details

Published
2024-08-29
DOI
https://doi.org/10.1109/icitisee63424.2024.10730325
Citations
2
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.98
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article

The Impact of Familiarity Using Generative AI to Influence Intention to Use AI

Hanny Juwitasary, Steven Apriyadi
2 citations
Impact of AI and Big Data on Business and Society
0.98
article

The Impact of Familiarity Using Generative AI to Influence Intention to Use AI

Hanny Juwitasary, Steven Apriyadi
article en
2 citations

Abstract

AI has gained massive popularity in recent years with many tools coming out to be used and help people in daily life, especially AI writing tools. This scientific research investigates engagement and intention to use AI writing tools among students, from middle school to college. Despite the popularity, the study found that several students face issues while engaging with AI that problem can come from the complexity of the AI and the output of the AI, reducing their desire to use it. The research employs the Social Cognitive Theory (SCT) as its framework. Data were collected from 372 students, with 311 meeting the criteria for being processed using SmartPLS. The study's variables include familiarity, engagement (cognitive, behavioral, affective dimensions), and intention to use. The results indicate that five out of six hypotheses were accepted, with one hypothesis which is the relationship between familiarity and affective engagement being rejected. And the rest of the hypotheses are being accepted with a significant result

Binus University (ID)
Openalex Percentile: Top 20%
Impact of AI and Big Data on Business and Society
0.98
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