No Cover Image

Journal article 579 views 150 downloads

Social companionship with artificial intelligence: Recent trends and future avenues

Rijul Chaturvedi, Sanjeev Verma, Ronnie Das, Yogesh Dwivedi Orcid Logo

Technological Forecasting and Social Change, Volume: 193, Start page: 122634

Swansea University Author: Yogesh Dwivedi Orcid Logo

  • 63364.pdf

    PDF | Version of Record

    © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

    Download (3.46MB)

Check full text

DOI (Published version): 10.1016/j.techfore.2023.122634

Abstract

The social companionship (SC) feature in conversational agents (CAs) enables the emotional bond and consumer relationships. The heightened interest in SC with CAs led to exponential growth in publications scattered across disciplines with fragmented findings, thus limiting holistic understanding of...

Full description

Published in: Technological Forecasting and Social Change
ISSN: 0040-1625
Published: Elsevier BV 2023
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa63364
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2023-05-07T22:04:30Z
last_indexed 2023-05-07T22:04:30Z
id cronfa63364
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>63364</id><entry>2023-05-07</entry><title>Social companionship with artificial intelligence: Recent trends and future avenues</title><swanseaauthors><author><sid>d154596e71b99ad1285563c8fdd373d7</sid><ORCID>0000-0002-5547-9990</ORCID><firstname>Yogesh</firstname><surname>Dwivedi</surname><name>Yogesh Dwivedi</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-05-07</date><deptcode>BBU</deptcode><abstract>The social companionship (SC) feature in conversational agents (CAs) enables the emotional bond and consumer relationships. The heightened interest in SC with CAs led to exponential growth in publications scattered across disciplines with fragmented findings, thus limiting holistic understanding of the domain and warrants a macroscopic view of the domain to guide future research directions. The present study fills the research void by offering a comprehensive literature review entailing science performance and intellectual structure mapping. The comprehensive review revealed the research domain's major theories, constructs, and thematic structure. Thematic and content analysis of intellectual structure resulted in a conceptual framework encompassing antecedents, mediators, moderators, and consequences of SC with CAs. The study discusses future research directions guiding practitioners and academicians in designing efficient and ethical AI companions.</abstract><type>Journal Article</type><journal>Technological Forecasting and Social Change</journal><volume>193</volume><journalNumber/><paginationStart>122634</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0040-1625</issnPrint><issnElectronic/><keywords>Affective computing, Social presence, Social companionship, Conversational agents, Anthropomorphism, Artificial intelligence</keywords><publishedDay>1</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-08-01</publishedDate><doi>10.1016/j.techfore.2023.122634</doi><url>http://dx.doi.org/10.1016/j.techfore.2023.122634</url><notes/><college>COLLEGE NANME</college><department>Business</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BBU</DepartmentCode><institution>Swansea University</institution><apcterm>SU Library paid the OA fee (TA Institutional Deal)</apcterm><funders>Swansea University</funders><projectreference/><lastEdited>2023-07-17T12:45:04.7119484</lastEdited><Created>2023-05-07T23:01:23.3686735</Created><path><level id="1">Faculty of Humanities and Social Sciences</level><level id="2">School of Management - Business Management</level></path><authors><author><firstname>Rijul</firstname><surname>Chaturvedi</surname><order>1</order></author><author><firstname>Sanjeev</firstname><surname>Verma</surname><order>2</order></author><author><firstname>Ronnie</firstname><surname>Das</surname><order>3</order></author><author><firstname>Yogesh</firstname><surname>Dwivedi</surname><orcid>0000-0002-5547-9990</orcid><order>4</order></author></authors><documents><document><filename>63364__27783__b0370ab5b2484f0c87c844437291c2bd.pdf</filename><originalFilename>63364.pdf</originalFilename><uploaded>2023-06-09T13:57:29.3313519</uploaded><type>Output</type><contentLength>3627494</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>© 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling v2 63364 2023-05-07 Social companionship with artificial intelligence: Recent trends and future avenues d154596e71b99ad1285563c8fdd373d7 0000-0002-5547-9990 Yogesh Dwivedi Yogesh Dwivedi true false 2023-05-07 BBU The social companionship (SC) feature in conversational agents (CAs) enables the emotional bond and consumer relationships. The heightened interest in SC with CAs led to exponential growth in publications scattered across disciplines with fragmented findings, thus limiting holistic understanding of the domain and warrants a macroscopic view of the domain to guide future research directions. The present study fills the research void by offering a comprehensive literature review entailing science performance and intellectual structure mapping. The comprehensive review revealed the research domain's major theories, constructs, and thematic structure. Thematic and content analysis of intellectual structure resulted in a conceptual framework encompassing antecedents, mediators, moderators, and consequences of SC with CAs. The study discusses future research directions guiding practitioners and academicians in designing efficient and ethical AI companions. Journal Article Technological Forecasting and Social Change 193 122634 Elsevier BV 0040-1625 Affective computing, Social presence, Social companionship, Conversational agents, Anthropomorphism, Artificial intelligence 1 8 2023 2023-08-01 10.1016/j.techfore.2023.122634 http://dx.doi.org/10.1016/j.techfore.2023.122634 COLLEGE NANME Business COLLEGE CODE BBU Swansea University SU Library paid the OA fee (TA Institutional Deal) Swansea University 2023-07-17T12:45:04.7119484 2023-05-07T23:01:23.3686735 Faculty of Humanities and Social Sciences School of Management - Business Management Rijul Chaturvedi 1 Sanjeev Verma 2 Ronnie Das 3 Yogesh Dwivedi 0000-0002-5547-9990 4 63364__27783__b0370ab5b2484f0c87c844437291c2bd.pdf 63364.pdf 2023-06-09T13:57:29.3313519 Output 3627494 application/pdf Version of Record true © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). true eng http://creativecommons.org/licenses/by/4.0/
title Social companionship with artificial intelligence: Recent trends and future avenues
spellingShingle Social companionship with artificial intelligence: Recent trends and future avenues
Yogesh Dwivedi
title_short Social companionship with artificial intelligence: Recent trends and future avenues
title_full Social companionship with artificial intelligence: Recent trends and future avenues
title_fullStr Social companionship with artificial intelligence: Recent trends and future avenues
title_full_unstemmed Social companionship with artificial intelligence: Recent trends and future avenues
title_sort Social companionship with artificial intelligence: Recent trends and future avenues
author_id_str_mv d154596e71b99ad1285563c8fdd373d7
author_id_fullname_str_mv d154596e71b99ad1285563c8fdd373d7_***_Yogesh Dwivedi
author Yogesh Dwivedi
author2 Rijul Chaturvedi
Sanjeev Verma
Ronnie Das
Yogesh Dwivedi
format Journal article
container_title Technological Forecasting and Social Change
container_volume 193
container_start_page 122634
publishDate 2023
institution Swansea University
issn 0040-1625
doi_str_mv 10.1016/j.techfore.2023.122634
publisher Elsevier BV
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
url http://dx.doi.org/10.1016/j.techfore.2023.122634
document_store_str 1
active_str 0
description The social companionship (SC) feature in conversational agents (CAs) enables the emotional bond and consumer relationships. The heightened interest in SC with CAs led to exponential growth in publications scattered across disciplines with fragmented findings, thus limiting holistic understanding of the domain and warrants a macroscopic view of the domain to guide future research directions. The present study fills the research void by offering a comprehensive literature review entailing science performance and intellectual structure mapping. The comprehensive review revealed the research domain's major theories, constructs, and thematic structure. Thematic and content analysis of intellectual structure resulted in a conceptual framework encompassing antecedents, mediators, moderators, and consequences of SC with CAs. The study discusses future research directions guiding practitioners and academicians in designing efficient and ethical AI companions.
published_date 2023-08-01T12:45:01Z
_version_ 1771668034072608768
score 11.036815

Similar Items