2022
DOI: 10.24251/hicss.2022.604
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Does Customers’ Emotion toward Voice-based Service AI Cause Negative Reactions? Empirical Evidence from a Call Center

Abstract: Many companies are introducing voice-based service artificial intelligence (AI) into their call centers. Little is known about the relationship between customers' emotions to voice-based service AI and customers' negative reactions. This study investigates the link between customers' emotions toward voice-based service AI and customers' negative reactions. Our results reveal that customers' emotion toward voice-based service AI could significantly affect their complaint behavior, and customers' complaint diffe… Show more

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Cited by 2 publications
(1 citation statement)
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“…Challenges such as diverse accents, background noise, and unclear pronunciation complicate voice support. AI algorithms for speech recognition can improve routing, providing a more seamless customer experience (Li and Liu, 2021). Deep learning models predict emotional tones when customers react negatively and redirect calls to human agents.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Challenges such as diverse accents, background noise, and unclear pronunciation complicate voice support. AI algorithms for speech recognition can improve routing, providing a more seamless customer experience (Li and Liu, 2021). Deep learning models predict emotional tones when customers react negatively and redirect calls to human agents.…”
Section: Literature Reviewmentioning
confidence: 99%