Adapting intelligent information services in libraries: a case of smart AI chatbots

Author:

Panda Subhajit,Chakravarty Rupak

Abstract

Purpose The recent COVID-19 pandemic affects all segments of the population in all possible fields of life. To encounter this critical situation and to safeguard the health of the library users & library staff, the library services have been forced to adapt and accept the “new normal” and give a greater use and reliance on virtual space than ever before with physical spaces. This paper aims to demonstrate an artificial intelligence (AI)-driven solution that can be practically implemented in the form of a “InfoBot” or “Chatbot” to fulfil user needs 24/7 with minimal or without human intervention. Design/methodology/approach To give a general overview of the use of AI Chatbot in libraries and its multitasking features followed by the practical implementation, a versatile AIchatbot service, Engati is used as a target bot with its basic free plan. Findings The study findings reveal that AI Chatbots offer a dependable solution for the libraries to initiate virtual assistance, thus augmenting the reference service while adding a newer dimension to virtual reference service. Social implications Innovative and intelligent information service would be overcoming the time and location barriers reaffirming the concept of “library without walls” while falling in line with the five laws of library science as propounded by Dr S.R. Ranganathan, the father of library science in India. Originality/value Though the implementation of bots and chatbots is not a purely novel concept to explore, no such research has been conducted focusing particularly on its exceptional benefits in the library in reference to the recent pandemic.

Publisher

Emerald

Subject

Library and Information Sciences,Information Systems

Reference15 articles.

1. Cordny (2020), “Chat bot versus virtual assistant chat bot versus virtual assistant”, available at: https://testingsaas.nl/2020/02/13/chatbot-versus-virtual-assistant/ (accessed 11 October 2021).

2. Engati (2019a), “Build – engati docs”, available at: https://docs.engati.com/documentation/build/ (accessed 14 October 2021).

3. Engati (2019b), “Deploy – engati docs”, available at: https://docs.engati.com/documentation/deploy/ (accessed 15 October 2021).

4. Engati (2019c), “Train – engati docs”, available at: https://docs.engati.com/documentation/advanced-conversations/train/ (accessed 19 October 2021).‌

5. Engati (2020a), “Conversation flow – paths – engati docs”, available at: https://docs.engati.com/documentation/build/conversation-flow-paths/(accessed 12 October 2021).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3