Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/103402
Title: Live support by chatbots with artificial intelligence : a future research agenda
Authors: Camilleri, Mark Anthony
Troise, Ciro
Keywords: Customer services
Marketing
Online information services
Artificial intelligence
Anthropomorphism
Deep learning (Machine learning)
Human-computer interaction
Issue Date: 2022
Publisher: Springer
Citation: Camilleri, M.A. & Troise, C. (2022). Live support by chatbots with artificial intelligence: A future research agenda. Service Business, https://doi.org/10.1007/s11628-022-00513-9
Abstract: This research uses a Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) protocol to investigate the utility of artificially intelligent (AI) conversational chatbots in service business settings. The findings shed light on key theoretical underpinnings focused on human-computer interactions and clarify the benefits and costs of using responsive chatbot technologies. This contribution implies that, for the time being, works are still in progress for interactive, anthropomorphic chatbots to mimic human customer services agents’ verbal, vocal and visual cues, when they respond to online queries. In conclusion it puts forward plausible research avenues in this promising area of study.
URI: https://www.researchgate.net/publication/365049624_Live_support_by_chatbots_with_artificial_intelligence_A_future_research_agenda
https://www.um.edu.mt/library/oar/handle/123456789/103402
Appears in Collections:Scholarly Works - FacMKSCC



Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.