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Enhancing PDF interaction for a more engaging user experience in library: Introducing ChatPDF

Authors: Panda, Subhajit;

Enhancing PDF interaction for a more engaging user experience in library: Introducing ChatPDF

Abstract

The paper introduces ChatPDF as a solution to the limited interaction capabilities of traditional PDF readers in library systems. It highlights the benefits of ChatPDF for enhancing user engagement and satisfaction with digital resources in libraries, and identifies potential areas for implementation and opportunities for further research. The paper addresses the issue of limited PDF interaction capabilities of traditional PDF readers in library systems and their potential to cause frustration and disengagement among users. It proposes ChatPDF, an online software platform that leverages ChatGPT API to offer a more intuitive and natural way of engaging with PDF documents. The paper also outlines the various features and advantages of ChatPDF and its potential impact on library systems. The paper concludes that ChatPDF offers a more advanced and user-friendly approach to interacting with PDF files than traditional PDF readers. It recommends libraries to consider implementing ChatPDF to enhance user engagement and satisfaction with their digital resources. The paper also identifies limitations and opportunities for future research in evaluating the impact of ChatPDF on user experience and library systems. This paper introduces ChatPDF as a solution to the limited PDF interaction capabilities in library systems, highlighting its unique features and benefits, such as summarization, recommendations, multi-lingual support, and AI assistance. It also discusses the potential impact of ChatPDF implementation on library systems, making it an original and valuable contribution to the field of library science.

Related Organizations
Keywords

Library, User Engagement, ChatPDF, Interactive PDF, Traditional PDF Readers, ChatGPT API

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
6
Top 10%
Average
Top 10%
13
14
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