activity
20192024
most citedHuman Factors in Model Interpretability: Industry Practices, Challenges, and Needs

215 citations · 377 across the 13 of their papers we have counts for

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17 papers · 1 filter

cs.HC2024

Unexploited Information Value in Human-AI Collaboration

Ziyang Guo, Yifan Wu, Jason Hartline +1

Humans and AIs are often paired on decision tasks with the expectation of achieving complementary performance -- where the combination of human and AI outperforms either one alone.…

cs.HC20241 cited

VMC: A Grammar for Visualizing Statistical Model Checks

Ziyang Guo, Alex Kale, Matthew Kay +1

Visualizations play a critical role in validating and improving statistical models. However, the design space of model check visualizations is not well understood, making it diffic…

cs.HC20222 cited

Delivering data differently

Gwynn Sturdevant, A. Jonathan R. Godfrey, Andrew Gelman

Human-computer interaction relies on mouse/touchpad, keyboard, and screen, but tools have recently been developed that engage sound, smell, touch, muscular resistance, voice dialog…

cs.HC202224 cited

Cicero: A Declarative Grammar for Responsive Visualization

Hyeok Kim, Ryan Rossi, Fan Du +4

Designing responsive visualizations can be cast as applying transformations to a source view to render it suitable for a different screen size. However, designing responsive visual…

cs.HC2021

Visualizing Uncertainty in Probabilistic Graphs with Network Hypothetical Outcome Plots (NetHOPs)

Dongping Zhang, Eytan Adar, Jessica Hullman

Probabilistic graphs are challenging to visualize using the traditional node-link diagram. Encoding edge probability using visual variables like width or fuzziness makes it difficu…

cs.HC2021

Visualization Equilibrium

Paula Kayongo, Glenn Sun, Jason Hartline +1

In many real-world strategic settings, people use information displays to make decisions. In these settings, an information provider chooses which information to provide to strateg…