The Components of Trust for Collaborating With AI Colleagues

Healthcare Voice AI Assistants: Factors Influencing Trust and Intention to Use

“…This study makes critical theoretical and practical contributions by firstly explaining user trust in HVAs through factors captured in three important aspects (personal, functional, and risk). These dimensions are recognized as pivotal elements in the overarching framework of human-computer interaction, particularly in the context of fostering collaborative relationships between humans and AI entities [85,88,149]. Specifically, the model provided a statistically based assessment of the degree to which the various factors influence trust, in addition to testing which factors increase or decrease it.…”

“…This field, characterized by its complexity, epitomizes the essence of multi-stakeholder collaboration, a theme central to the ethos of the CSCW community [61,102,148,149]. By delving into the dynamics of trust and adoption, we provided AI product providers with a clearer roadmap for product refinement, emphasizing areas that foster enhanced collaboration [85,88]. This collaborative lens can also help policymakers and third parties understand patient-centric concerns, notably privacy and data safety.…”

“…Trust is recognized as a central focus for the CSCW discipline over the past several decades [103]. Trust is recognized as a pivotal factor influencing human-AI collaboration [85,88], and in particular, previous work published at CSCW [88] has underscored the positive effects of research on trust in fostering human-AI collaboration. In order to study the different ways in which other factors can affect trust, a critical step is to be able to measure trust in a particular technology, in our case, HVA.…”