Human-autonomy teaming and agent Transparency
International Conference on Intelligent User Interfaces, Proceedings IUI, Page: 28-31
2016
- 24Citations
- 1Usage
- 24Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations24
- Citation Indexes24
- 24
- CrossRef19
- Usage1
- Abstract Views1
- Captures24
- Readers24
- 24
Conference Paper Description
We developed the user interfaces for two Human-Robot Interaction (HRI) tasking envir onments: dismounted infantry interacting with a ground robot (Autonomous Squad Member) and human interaction with an intelligent agent to manage a team of heterogeneous robotic vehicles (IMPACT). These user interfaces were developed based on the Situation awareness-based Agent Transparency (SAT) model. User testing showed that as agent transparency increased, so did overall human-agent team performance. Participants were able to calibrate their trust in the agent more appropriately as agent transparency increased.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85014200189&origin=inward; http://dx.doi.org/10.1145/2876456.2879479; https://dl.acm.org/doi/10.1145/2876456.2879479; https://stars.library.ucf.edu/scopus2015/4363; https://stars.library.ucf.edu/cgi/viewcontent.cgi?article=5362&context=scopus2015; https://dx.doi.org/10.1145/2876456.2879479
Association for Computing Machinery (ACM)
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