Enhancing User Experience With a Generative AI Chatbot

Kim, Jeong Soo; Kim, Minseong; Baek, Tae Hyun

doi:10.1080/10447318.2024.2311971

International Journal of Human–Computer Interaction

2024

DOI: 10.1080/10447318.2024.2311971

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Enhancing User Experience With a Generative AI Chatbot

Jeong Soo Kim,

Minseong Kim,

Tae Hyun Baek

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Cited by 15 publications

References 96 publications

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The double‐edged sword of generative artificial intelligence in digitalization: An affordances and constraints perspective

Park

2024

Psychology and Marketing

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Generative artificial intelligence (AI) has gained prominence across various industries and domains, offering capabilities to generate human‐like text, creative ideas, and solutions. This paper explores customers' responses to the use of generative AI in digitalizing content production and consumption processes. Drawing on technology affordance theory, this article examines how are the affordances of generative AI leveraged to contribute to the gradual digitalization of individuals. This netnographic study is based on over 9 months naturalistic observations of the AI Community online, culminating in 1572 pages of data. The findings identify different types of affordances that foster digitalization: automated content creation, automated data analysis, and AI‐generated content dissemination. This study also identifies the constraints of generative AI and discusses potential interventions to address these constraints and prevent unintended consequences. This research provides insights for scholars, professionals, and educators to better understand the dynamics of leveraging generative AI.

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The double‐edged sword of generative artificial intelligence in digitalization: An affordances and constraints perspective

Park

2024

Psychology and Marketing

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The who, why, and how of ai-based chatbots for learning and teaching in higher education: A systematic review

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et al. 2024

Educ Inf Technol

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Motivational determinants of continuance usage intention for generative AI: an investment model approach for ChatGPT users in the United States

Kim,

Baek

2024

Behaviour & Information Technology

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Enhancing User Experience With a Generative AI Chatbot

Cited by 15 publications

References 96 publications

The double‐edged sword of generative artificial intelligence in digitalization: An affordances and constraints perspective

The double‐edged sword of generative artificial intelligence in digitalization: An affordances and constraints perspective

The who, why, and how of ai-based chatbots for learning and teaching in higher education: A systematic review

Motivational determinants of continuance usage intention for generative AI: an investment model approach for ChatGPT users in the United States

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