activity
20192022
most citedA Comparative Analysis of Industry Human-AI Interaction Guidelines

16 citations · 29 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC2022★ 2 cited

Lotse: A Practical Framework for Guidance in Visual Analytics

Fabian Sperrle, Davide Ceneda, Mennatallah El-Assady

Co-adaptive guidance aims to enable efficient human-machine collaboration in visual analytics, as proposed by multiple theoretical frameworks. This paper bridges the gap between su…

cs.HC2020★ 16 cited

A Comparative Analysis of Industry Human-AI Interaction Guidelines

Austin P. Wright, Zijie J. Wang, Haekyu Park +6

With the recent release of AI interaction guidelines from Apple, Google, and Microsoft, there is clearly interest in understanding the best practices in human-AI interaction. Howev…

cs.HC2020★ 11 cited

Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations

Fabian Sperrle, Mennatallah El-Assady, Grace Guo +3

This paper systematically derives design dimensions for the structured evaluation of explainable artificial intelligence (XAI) approaches. These dimensions enable a descriptive cha…

cs.HC2019

Speculative Execution for Guided Visual Analytics

Fabian Sperrle, Jürgen Bernard, Michael Sedlmair +2

We propose the concept of Speculative Execution for Visual Analytics and discuss its effectiveness for model exploration and optimization. Speculative Execution enables the automat…

cs.CL2019

VIANA: Visual Interactive Annotation of Argumentation

Fabian Sperrle, Rita Sevastjanova, Rebecca Kehlbeck +1

Argumentation Mining addresses the challenging tasks of identifying boundaries of argumentative text fragments and extracting their relationships. Fully automated solutions do not…