Abstract

Companies are increasingly using Virtual Assistants to communicate with their customers as the AI-driven chatbot technologies gain in maturity. Today’s Virtual Assistants can hold human-like conversations and even start to emulate the looks of human agents. However, research has shown little interest in what this means for the human-automation interaction. Do we trust these Virtual Assistants? And are we willing to rely on their output? In order to address this gap, the current study seeks to gain a better understanding of the drivers of trust in automation, automation reliance, and thereby usage intentions. An experiment is conducted with two manipulations: The behavior of the Virtual Assistant and its looks (avatar) differed among conditions, while its functional performance was held steady across the conditions. The results reveal increased trust in and reliance on Virtual Assistants when they show human-like behaviors, despite the lack of improvement in objective performance. More interestingly, the i...

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