Simulating real-world experiences in a safe environment has made virtual human medical simulations a common use case for research and interpersonal communication training. Despite the benefits virtual human medical simulations provide, previous work suggests that users struggle to notice when virtual humans make potentially life-threatening verbal communication mistakes inside virtual human medical simulations. In this work, we performed a 2x2 mixed design user study that had learners (n = 80) attempt to identify verbal communication mistakes made by a virtual human acting as a nurse in a virtual desktop environment. A virtual desktop environment was used instead of a head-mounted virtual reality environment due to Covid-19 limitations. The virtual desktop environment experience allowed us to explore how frequently learners identify verbal communication mistakes in virtual human medical simulations and how perceptions of credibility, reliability, and trustworthiness in the virtual human affect learner error recognition rates. We found that learners struggle to identify infrequent virtual human verbal communication mistakes. Additionally, learners with lower initial trustworthiness ratings are more likely to overlook potentially life-threatening mistakes, and virtual human mistakes temporarily lower learner credibility, reliability, and trustworthiness ratings of virtual humans. From these findings, we provide insights on improving virtual human medical simulation design. Developers can use these insights to design virtual simulations for error identification training using virtual humans.
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Communication and Algorithmic Decision Making in a Virtual Healthcare Context: Extended Abstract
This qualitative study draws on interviews and observations with nurses working in a virtual intensive care unit and using algorithms to track patient progress. It overviews how health practitioners navi- gate algorithmic systems to build relationships with other providers and patients, with attention to strategies for accountability and ad- vocacy in virtual healthcare contexts.
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- Award ID(s):
- 2026607
- PAR ID:
- 10327802
- Date Published:
- Journal Name:
- The 39th ACM International Conference on Design of Communication. Association for Computing Machinery
- Page Range / eLocation ID:
- 367 to 369
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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