Hope, Tolerance and Empathy : Employees’ Emotions when Using an AI-enabled Chatbot in a Digitalised Workplace. / Gkinko, Lorentsa; Elbanna, Amany.

In: Information Technology and People, 03.05.2022.

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Hope, Tolerance and Empathy : Employees’ Emotions when Using an AI-enabled Chatbot in a Digitalised Workplace. / Gkinko, Lorentsa; Elbanna, Amany.

In: Information Technology and People, 03.05.2022.

Research output: Contribution to journalArticlepeer-review

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@article{e2f3524fc8824224a1d1de512b401931,
title = "Hope, Tolerance and Empathy: Employees{\textquoteright} Emotions when Using an AI-enabled Chatbot in a Digitalised Workplace",
abstract = "AbstractPurpose – Information Systems research on emotions in relation to using technology largely holds essentialist assumptions about emotions, focuses on negative emotions and treats technology as a token or as a black box, which hinders an in-depth understanding of distinctions in the emotional experience of using artificial intelligence (AI) technology in context. This research focuses on understanding employees{\textquoteright} emotional experiences of using an AI chatbot as a specific type of AI system that learns from how it is used and is conversational, displaying a social presence to users. The research questions how and why employees experience emotions when using an AI chatbot, and how these emotions impact its use. Design/methodology/approach – An interpretive case study approach and an inductive analysis were adopted for this study. Data were collected through interviews, documents review and observation of use. Findings – The study found that employee appraisals of chatbots were influenced by the form and functional design of the AI chatbot technology and its organisational and social context, resulting in a wider repertoire of appraisals and multiple emotions. In addition to positive and negative emotions, users experienced connection emotions. The findings show that the existence of multiple emotions can encourage continued use of an AI chatbot. Originality/value – This research extends information systems literature on emotions by focusing on the lived experiences of employees in their actual use of an AI chatbot, while considering its characteristics and its organisational and social context. The findings inform the emerging literature on AI.Keywords Chatbot, Artificial intelligence, Emotions, Emotions at work, Digital workplace, Technology use, AI use, Future of work, Digital transformation, Digital ways of workingPaper type Research paper",
keywords = "AI Chatbot, Conversational Agent, Artificial Intelligence, Emotions, Emotions at Work, Digital Workplace, AI Use, Future of Work, digital transformation, Digital Ways of Working",
author = "Lorentsa Gkinko and Amany Elbanna",
year = "2022",
month = may,
day = "3",
doi = "10.1108/ITP-04-2021-0328",
language = "English",
journal = "Information Technology and People",
issn = "0959-3845",
publisher = "Emerald Group Publishing Ltd.",

}

RIS

TY - JOUR

T1 - Hope, Tolerance and Empathy

T2 - Employees’ Emotions when Using an AI-enabled Chatbot in a Digitalised Workplace

AU - Gkinko, Lorentsa

AU - Elbanna, Amany

PY - 2022/5/3

Y1 - 2022/5/3

N2 - AbstractPurpose – Information Systems research on emotions in relation to using technology largely holds essentialist assumptions about emotions, focuses on negative emotions and treats technology as a token or as a black box, which hinders an in-depth understanding of distinctions in the emotional experience of using artificial intelligence (AI) technology in context. This research focuses on understanding employees’ emotional experiences of using an AI chatbot as a specific type of AI system that learns from how it is used and is conversational, displaying a social presence to users. The research questions how and why employees experience emotions when using an AI chatbot, and how these emotions impact its use. Design/methodology/approach – An interpretive case study approach and an inductive analysis were adopted for this study. Data were collected through interviews, documents review and observation of use. Findings – The study found that employee appraisals of chatbots were influenced by the form and functional design of the AI chatbot technology and its organisational and social context, resulting in a wider repertoire of appraisals and multiple emotions. In addition to positive and negative emotions, users experienced connection emotions. The findings show that the existence of multiple emotions can encourage continued use of an AI chatbot. Originality/value – This research extends information systems literature on emotions by focusing on the lived experiences of employees in their actual use of an AI chatbot, while considering its characteristics and its organisational and social context. The findings inform the emerging literature on AI.Keywords Chatbot, Artificial intelligence, Emotions, Emotions at work, Digital workplace, Technology use, AI use, Future of work, Digital transformation, Digital ways of workingPaper type Research paper

AB - AbstractPurpose – Information Systems research on emotions in relation to using technology largely holds essentialist assumptions about emotions, focuses on negative emotions and treats technology as a token or as a black box, which hinders an in-depth understanding of distinctions in the emotional experience of using artificial intelligence (AI) technology in context. This research focuses on understanding employees’ emotional experiences of using an AI chatbot as a specific type of AI system that learns from how it is used and is conversational, displaying a social presence to users. The research questions how and why employees experience emotions when using an AI chatbot, and how these emotions impact its use. Design/methodology/approach – An interpretive case study approach and an inductive analysis were adopted for this study. Data were collected through interviews, documents review and observation of use. Findings – The study found that employee appraisals of chatbots were influenced by the form and functional design of the AI chatbot technology and its organisational and social context, resulting in a wider repertoire of appraisals and multiple emotions. In addition to positive and negative emotions, users experienced connection emotions. The findings show that the existence of multiple emotions can encourage continued use of an AI chatbot. Originality/value – This research extends information systems literature on emotions by focusing on the lived experiences of employees in their actual use of an AI chatbot, while considering its characteristics and its organisational and social context. The findings inform the emerging literature on AI.Keywords Chatbot, Artificial intelligence, Emotions, Emotions at work, Digital workplace, Technology use, AI use, Future of work, Digital transformation, Digital ways of workingPaper type Research paper

KW - AI Chatbot

KW - Conversational Agent

KW - Artificial Intelligence

KW - Emotions

KW - Emotions at Work

KW - Digital Workplace

KW - AI Use

KW - Future of Work

KW - digital transformation

KW - Digital Ways of Working

U2 - 10.1108/ITP-04-2021-0328

DO - 10.1108/ITP-04-2021-0328

M3 - Article

JO - Information Technology and People

JF - Information Technology and People

SN - 0959-3845

ER -