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 journal › Article › peer-review
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 journal › Article › peer-review
}
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 -