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We enjoyed presenting our latest work on Active Inference and trust at #hfes2023 this week. You can read the full abstract at: journals.sagepub.com/doi/ful…
The results suggest a connection between Uncertainty (in beliefs and observations) and situational trust!
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HFML Lab retweeted
26 Oct 2023
With a slate of recently created data science courses, @uwisye is preparing industrial engineers with in-demand skills to flourish in their careers after graduation.
engineering.wisc.edu/news/is…
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We will be presenting this work at the @tom_icml2023 workshop at #ICML2023. Come chat with us!
Paper link: openreview.net/forum?id=iL1r…
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Looking forward to being a part of this great slate of HFES workshops! If you are an HF student/professional interested in machine learning, please consider joining us for Behavioral Data Analytics with R presented with @Jdlee888 and @LindaNgBoyle!
15 Jun 2023
Add a workshop to your 67th HFES International Annual Meeting registration and maximize your trip to the nation's capital! Don't miss your opportunity to dig into some of the most important topics affecting HFE professionals today. lnkd.in/gR_Xk6qr
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and how active inference could be used to develop car following models that are more accurate than rule-based models and more interpretable that deep neural network models:
arxiv.org/abs/2303.15201 ...
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Our new preprint (with @markkula and Alfredo Garcia; advised by @Waymo) on active inference models of car following behavior reveals accuracy and interpretability advantages: researchgate.net/publication…
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Our latest work a collaboration with TEEX and @DaneshVC of Baylor Scott & White has just been published. The work investigates Silver Alert demographics as a first step to developing new driving interventions for older adults and their care networks.
14 Feb 2023
Silver Alerts to find missing older adults with #dementia in Texas are increasing each year, with peaks on Wednesdays and at night. Holidays represent 25% of all silver alerts. ja.ma/3E7AK4L
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Our latest work on active inference models of driving behavior and the importance of input features is now available on research gate: researchgate.net/publication…. This work is a collaboration with Alfredo Garcia, @markkula, and @Waymo and was led by our own Ran Wei!
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HFML Lab retweeted
30 Aug 2022
Introducing our newest faculty member (and former PhD student) Dr. Tony McDonald. Tony's research and instruction will focus on the intersection of #humanfactors and #machinelearning. He's glad to be back at beautiful @UWMadison! @uwmadengr @Jdlee888 bit.ly/3RkmYjp
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HFML Lab retweeted
23 Aug 2022
Workshops spots for the 66th International Annual Meeting are filling up fast! Extend your learning by taking a deep dive into one or more workshops, led by subject matter experts from around the industry. Learn more: hfes2022.org/workshops-1 #Ergonomics #Humanfactors #HFES2022
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HFML Lab retweeted
New research identifies important motivators to avoid drowsy driving among nurses and suggests methods to improve future interventions.
doi.org/10.1080/24725838.202…
#IISE, #Ergonomics
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Alec's dissertation work focused on understanding drowsy driving among nurses and measuring the effectiveness of drowsy driving mitigation technology . You can read the first few chapters of his dissertation at:
sciencedirect.com/science/ar…
tandfonline.com/doi/abs/10.1…
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Alec has also made outstanding contributions to research on mental health, oil and gas worker safety, and automated vehicle safety. You can read more of his work at:
scholar.google.com/citations…
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