Tobias Höllerer

schoolUniversity of Californiabar_chart#768 Global Rank

Total Papers

HCI Rank

#768

Research Areas

Years Active

Recent Publications

How Users Perceive Mixed-Initiative AI: Attitudes Toward Assistance in Problem Solving

In mixed-initiative systems, the mode of AI assistance delivery can be as consequential as the assistance itself. We investigated two assistance delivery modes: on-demand help (users request via Button) and pre-scheduled help (assistance delivered at user-selected intervals, with user actions resetting the Timer). To…

CHI '264th AuthorDesktop 3D Printing & Personal Fabrication +2

Clay ARTools: Precise Machine Toolpath Editing for Clay 3D Printing With Craft-Inspired Direct Manipulation Tools in AR

Ceramics practice is an embodied activity where creators use manual tools in unique ways to shape physical material. Clay 3D printing uses the same material as manual ceramics craft, enabling new opportunities for form and texture by precisely controlling the 3D printing toolpath. However, current clay 3D printing des…

CHI '263rd AuthorSocial & Collaborative VR +2

Embedded vs. Situated: An Evaluation of AR Facial Training Feedback

While augmented reality (AR) research demonstrates benefits of embedded visualizations for gross motor training, its applicability to facial exercises remains under-explored. Providing effective real-time feedback for facial muscle training presents unique design challenges, given the complexity of facial musculature.…

DIS '253rd AuthorTechnology Ethics & Critical HCI +1

Lessons from AR Memorialization: Artists' and Activists' Approaches to Responsible AR Development

Augmented reality (AR) is a rapidly proliferating technology that offers opportunities to blend digital and physical contexts but also poses significant risks. This work seeks to inform responsible AR development with the insights of AR practitioners who engage with complex socio-cultural tensions. We analyze the impl…

CHI '25CorrespondingAR Navigation & Context Awareness +1

On the Go with AR: Attention to Virtual and Physical Targets while Varying Augmentation Density

Augmented reality is projected to be a primary mode of information consumption on the go, seamlessly integrating virtual content into the \red{physical} world. However, the potential perceptual demands of viewing virtual annotations while a physical environment could impact user efficacy and safety, and the implicatio…

CHI '23CorrespondingEye Tracking & Gaze Interaction +2

The Impact of Navigation Aids on Search Performance and Object Recall in Wide-Area Augmented Reality

Head-worn augmented reality (AR) is a hotly pursued and increasingly feasible contender paradigm for replacing or complementing smartphones and watches for continual information consumption. Here, we compare three different AR navigation aids (on-screen compass, on-screen radar and in-world vertical arrows) in a wide…

CHI '23CorrespondingExplainable AI (XAI) +1

Comparing Zealous and Restrained AI Recommendations in a Real-World Human-AI Collaboration Task

When designing an AI-assisted decision-making system, there is often a tradeoff between precision and recall in the AI's recommendations. We argue that careful exploitation of this tradeoff can harness the complementary strengths in the human-AI collaboration to significantly improve team performance. We investigate a…

CHI '232nd AuthorInteractive Data Visualization +1

Drawing Transforms: A Unifying Interaction Primitive to Procedurally Manipulate Graphics across Style, Space, and Time

Procedural functionality enables visual creators to rapidly edit, explore alternatives, and fine-tune artwork in many domains including illustration, motion graphics, and interactive animation. Symbolic procedural tools, such as textual programming languages, are highly expressive but often limit directly manipulating…

CSCW '22CorrespondingData, Bias and Fairness

Impact of Annotator Demographics on Sentiment Dataset Labeling

As machine learning methods become more powerful and capture more nuances of human behavior, biases in the dataset can shape what the model learns and is evaluated on. This paper explores and attempts to quantify the uncertainties and biases due to \textit{annotator} demographics when creating sentiment analysis datas…

CSCW '22CorrespondingData, Bias and Fairness

Impact of Annotator Demographics on Sentiment Dataset Labeling

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