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Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work

While Generative Artificial Intelligence (GenAI) is finding increased adoption in workplaces, current tools are primarily designed for individual use. Prior work established the potential for these tools to enhance personal creativity and productivity towards shared goals; however, we don't know yet how to best take i…

Janet G Johnson et al.University of Michigan

Team Work Makes the Dream Work

Privacy Equilibrium: Balancing Privacy Needs in Dynamic Multi-User Augmented Reality Scenarios

As augmented reality (AR) glasses become more widely used in public settings, a key challenge is meeting the privacy needs of multiple AR users and bystanders in a fine-grained manner. To enable this, we present a conceptual framework for Privacy Equilibrium--balancing user experience (UX) and privacy between all indi…

Shwetha Rajaram et al.University of Michigan

Exploring the Design Space of Privacy-Driven Adaptation Techniques for Future Augmented Reality Interfaces

Modern augmented reality (AR) devices with advanced display and sensing capabilities pose significant privacy risks to users and bystanders. While previous context-aware adaptations focused on usability and ergonomics, we explore the design space of privacy-driven adaptations that allow users to meet their dynamic nee…

Shwetha Rajaram et al.University of Michigan

Gesture and Audio-Haptic Guidance Techniques to Direct Conversations with Intelligent Voice Interfaces

Advances in large language models (LLMs) empower new interactive capabilities for wearable voice interfaces, yet traditional voice-and-audio I/O techniques limit users' ability to flexibly navigate information and manage timing for complex conversational tasks. We developed a suite of gesture and audio-haptic guidance…

Shwetha Rajaram et al.University of Michigan

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BlendScape: Enabling End-User Customization of Video-Conferencing Environments through Generative AI

Today’s video-conferencing tools support a rich range of professional and social activities, but their generic meeting environments cannot be dynamically adapted to align with distributed collaborators’ needs. To enable end-user customization, we developed BlendScape, a rendering and composition system for video-confe…

Shwetha Rajaram et al.University of Michigan

SpaceBlender: Creating Context-Rich Collaborative Spaces Through Generative 3D Scene Blending

There is increased interest in using generative AI to create 3D spaces for virtual reality (VR) applications. However, today’s models produce artificial environments, falling short of supporting collaborative tasks that benefit from incorporating the user's physical context. To generate environments that support VR te…

Nels Numan et al.Parkview Health

Reframe: An Augmented Reality Storyboarding Tool for Character-Driven Analysis of Security & Privacy Concerns

While current augmented reality (AR) authoring tools lower the technical barrier for novice AR designers, they lack explicit guidance to consider potentially harmful aspects of AR with respect to security & privacy (S&P). To address potential threats in the earliest stages of AR design, we developed Reframe, a digita…

Shwetha Rajaram et al.University of Michigan

Eliciting Security & Privacy-Informed Sharing Techniques for Multi-User Augmented Reality

The HCI community has explored new interaction designs for collaborative AR interfaces in terms of usability and feasibility; however, security & privacy (S&P) are often not considered in the design process and left to S&P professionals. To produce interaction proposals with S&P in mind, we extend the user-driven elic…

Shwetha Rajaram et al.University of Michigan

Paper Trail: An Immersive Authoring System for Augmented Reality Instructional Experiences

Prior work has demonstrated augmented reality's benefits to education, but current tools are difficult to integrate with traditional instructional methods. We present Paper Trail, an immersive authoring system designed to explore how to enable instructors to create AR educational experiences, leaving paper at the core…

Shwetha Rajaram et al.University of Michigan

XRStudio: A Virtual Production and Live Streaming System for Immersive Instructional Experiences

There is increased interest in using virtual reality in education, but it often remains an isolated experience that is difficult to integrate into current instructional experiences. In this work, we adapt virtual production techniques from filmmaking to enable mixed reality capture of instructors so that they appear t…

Michael Nebeling et al.University of Michigan

MRAT: The Mixed Reality Analytics Toolkit

Significant tool support exists for the development of mixed reality (MR) applications; however, there is a lack of tools for analyzing MR experiences. We elicit requirements for future tools through interviews with 8 university research, instructional, and media teams using AR/VR in a variety of domains. While we fin…

Michael Nebeling et al.University of Michigan

Paper Title	Authors	Research Topics
Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work While Generative Artificial Intelligence (GenAI) is finding increased adoption in workplaces, current tools are primarily designed for individual use. Prior work established the potential for these tools to enhance personal creativity and productivity towards shared goals; however, we don't know yet how to best take i…	JJ Janet G Johnson et al.University of Michigan	Team Work Makes the Dream Work
Privacy Equilibrium: Balancing Privacy Needs in Dynamic Multi-User Augmented Reality Scenarios As augmented reality (AR) glasses become more widely used in public settings, a key challenge is meeting the privacy needs of multiple AR users and bystanders in a fine-grained manner. To enable this, we present a conceptual framework for Privacy Equilibrium--balancing user experience (UX) and privacy between all indi…	SR Shwetha Rajaram et al.University of Michigan
emoji_events Exploring the Design Space of Privacy-Driven Adaptation Techniques for Future Augmented Reality Interfaces Modern augmented reality (AR) devices with advanced display and sensing capabilities pose significant privacy risks to users and bystanders. While previous context-aware adaptations focused on usability and ergonomics, we explore the design space of privacy-driven adaptations that allow users to meet their dynamic nee…	SR Shwetha Rajaram et al.University of Michigan
Gesture and Audio-Haptic Guidance Techniques to Direct Conversations with Intelligent Voice Interfaces Advances in large language models (LLMs) empower new interactive capabilities for wearable voice interfaces, yet traditional voice-and-audio I/O techniques limit users' ability to flexibly navigate information and manage timing for complex conversational tasks. We developed a suite of gesture and audio-haptic guidance…	SR Shwetha Rajaram et al.University of Michigan
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
emoji_events BlendScape: Enabling End-User Customization of Video-Conferencing Environments through Generative AI Today’s video-conferencing tools support a rich range of professional and social activities, but their generic meeting environments cannot be dynamically adapted to align with distributed collaborators’ needs. To enable end-user customization, we developed BlendScape, a rendering and composition system for video-confe…	SR Shwetha Rajaram et al.University of Michigan
SpaceBlender: Creating Context-Rich Collaborative Spaces Through Generative 3D Scene Blending There is increased interest in using generative AI to create 3D spaces for virtual reality (VR) applications. However, today’s models produce artificial environments, falling short of supporting collaborative tasks that benefit from incorporating the user's physical context. To generate environments that support VR te…	NN Nels Numan et al.Parkview Health
Reframe: An Augmented Reality Storyboarding Tool for Character-Driven Analysis of Security & Privacy Concerns While current augmented reality (AR) authoring tools lower the technical barrier for novice AR designers, they lack explicit guidance to consider potentially harmful aspects of AR with respect to security & privacy (S&P). To address potential threats in the earliest stages of AR design, we developed Reframe, a digita…	SR Shwetha Rajaram et al.University of Michigan
Eliciting Security & Privacy-Informed Sharing Techniques for Multi-User Augmented Reality The HCI community has explored new interaction designs for collaborative AR interfaces in terms of usability and feasibility; however, security & privacy (S&P) are often not considered in the design process and left to S&P professionals. To produce interaction proposals with S&P in mind, we extend the user-driven elic…	SR Shwetha Rajaram et al.University of Michigan
Paper Trail: An Immersive Authoring System for Augmented Reality Instructional Experiences Prior work has demonstrated augmented reality's benefits to education, but current tools are difficult to integrate with traditional instructional methods. We present Paper Trail, an immersive authoring system designed to explore how to enable instructors to create AR educational experiences, leaving paper at the core…	SR Shwetha Rajaram et al.University of Michigan
XRStudio: A Virtual Production and Live Streaming System for Immersive Instructional Experiences There is increased interest in using virtual reality in education, but it often remains an isolated experience that is difficult to integrate into current instructional experiences. In this work, we adapt virtual production techniques from filmmaking to enable mixed reality capture of instructors so that they appear t…	MN Michael Nebeling et al.University of Michigan
emoji_events MRAT: The Mixed Reality Analytics Toolkit Significant tool support exists for the development of mixed reality (MR) applications; however, there is a lack of tools for analyzing MR experiences. We elicit requirements for future tools through interviews with 8 university research, instructional, and media teams using AR/VR in a variety of domains. While we fin…	MN Michael Nebeling et al.University of Michigan