79 citations · 132 across the 10 of their papers we have counts for
11 papers
Rethinking Opinion Measurement Interfaces for Human-in-the-Loop Optimization
Changkun Ou, Sven Mayer, Daniel Buschek +1
Human-in-the-loop optimization refers to systems that present choices to a human decision-maker and query their judgment to optimize system parameters iteratively. The user interfa…
Progressive Autonomy as Preference Learning: A Formalization of Trust Calibration for Agentic Tool Use
Changkun Ou
We formalize trust calibration for agentic tool use (deciding when an automated agent's proposed action may execute autonomously versus require human approval) as a preference-lear…
At the Speed of the Heart: Evaluating Physiologically-Adaptive Visualizations for Supporting Engagement in Biking Exergaming in Virtual Reality
Oliver Hein, Sandra Wackerl, Changkun Ou +2
Many exergames face challenges in keeping users within safe and effective intensity levels during exercise. Meanwhile, although wearable devices continuously collect physiological…
Designing and Evaluating an Adaptive Virtual Reality System using EEG Frequencies to Balance Internal and External Attention States
Francesco Chiossi, Changkun Ou, Carolina Gerhardt +2
Virtual reality finds various applications in productivity, entertainment, and training scenarios requiring working memory and attentional resources. Working memory relies on prior…
The Impact of Expertise in the Loop for Exploring Machine Rationality
Changkun Ou, Sven Mayer, Andreas Butz
Human-in-the-loop optimization utilizes human expertise to guide machine optimizers iteratively and search for an optimal solution in a solution space. While prior empirical studie…
Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory
Francesco Chiossi, Luke Haliburton, Changkun Ou +2
Social media platforms use short, highly engaging videos to catch users' attention. While the short-form video feeds popularized by TikTok are rapidly spreading to other platforms,…