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Author: 9681

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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…

Yunhao Luo et al.University of California

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…

Joyce E Passananti et al.University of Chicago

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.…

Avinash Ajit Nargund et al.University of California - Santa Barbara

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…

Ana Cardenas Gasca et al.University of California

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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…

You-Jin Kim et al.Texas A&M University

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…

Radha Kumaran et al.University of California

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…

Chengyuan Xu et al.University of California

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…

Sonia Hashim et al.University of California

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…

Yi Ding et al.University of California

Data, Bias and Fairness

Impact of Annotator Demographics on Sentiment Dataset Labeling

Yi Ding et al.University of California

Data, Bias and Fairness

I Can Do Better Than Your AI: Expertise and Explanations

Intelligent assistants, such as navigation, recommender, and expert systems, are most helpful in situations where users lack domain knowledge. Despite this, recent research in cognitive psychology has revealed that lower-skilled individuals may maintain a sense of illusory superiority, which might suggest that users…

James Schaffer et al.DEVCOM Army Research Laboratory

Paper Title	Authors	Research Topics
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…	YL Yunhao Luo et al.University of California
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…	JP Joyce E Passananti et al.University of Chicago
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.…	AN Avinash Ajit Nargund et al.University of California - Santa Barbara
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…	AG Ana Cardenas Gasca et al.University of California
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
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…	YK You-Jin Kim et al.Texas A&M University
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…	RK Radha Kumaran et al.University of California
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…	CX Chengyuan Xu et al.University of California
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…	SH Sonia Hashim et al.University of California
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…	YD Yi Ding et al.University of California	Data, 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…	YD Yi Ding et al.University of California	Data, Bias and Fairness
I Can Do Better Than Your AI: Expertise and Explanations Intelligent assistants, such as navigation, recommender, and expert systems, are most helpful in situations where users lack domain knowledge. Despite this, recent research in cognitive psychology has revealed that lower-skilled individuals may maintain a sense of illusory superiority, which might suggest that users…	JS James Schaffer et al.DEVCOM Army Research Laboratory