AnnotateXR: An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision Applications

AnnotateXR: An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision Applications

Subramanian Chidambaram*, Rahul Jain*, Sai Swarup Reddy, Asim Unmesh, Karthik Ramani
J. Comput. Inf. Sci. Eng. Dec 2024, 24(12): 121001 (13 pages)

Computer vision (CV) algorithms require large annotated datasets that are often labor-intensive and expensive to create. We propose AnnotateXR, an extended reality (XR) workflow to collect various high-fidelity data and auto-annotate it in a single...

Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data, Advances in Neural Information Processing Systems

Estimating Ego-Body Pose from Doubly Sparse Egocentric Video Data, Advances in Neural Information Processing Systems

Seunggeun Chi, Pin-Hao Huang, Enna Sachdeva, Hengbo Ma, Karthik Ramani, Kwonjoon Lee
Conference on Neural Information Processing Systems (NeurIPS 2024)

We study the problem of estimating the body movements of a camera wearer from egocentric videos. Current methods for ego-body pose estimation rely on temporally dense sensor data, such as IMU measurements from spatially sparse body parts like the...

M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models

M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models

Seunggeun Chi*, Hyung-gun Chi*, Hengbo Ma, Nakul Agarwal, Faizan Siddiqui, Karthik Ramani, Kwonjoon Lee
In European Conference on Computer Vision, 2024.

We introduce the Multi-Motion Discrete Diffusion Models (M2D2M), a novel approach for human motion generation from textual descriptions of multiple actions, utilizing the strengths of discrete diffusion models. This approach adeptly addresses the...

avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality

avaTTAR: Table Tennis Stroke Training with On-body and Detached Visualization in Augmented Reality

Dizhi Ma*, Xiyun Hu*, Jingyu Shi, Mayank Patel, Rahul Jain, Ziyi Liu, Zhengzhe Zhu, Karthik Ramani
In The 37th Annual ACM Symposium on User Interface Software and Technology (UIST ’24)

Table tennis stroke training is a critical aspect of player development. We designed a new augmented reality (AR) system, avaTTAR, for table tennis stroke training. The system provides both "on-body" (first-person view) and "detached" (third-person...

ClassMeta: Designing Interactive Virtual Classmate to Promote VR Classroom Participation

ClassMeta: Designing Interactive Virtual Classmate to Promote VR Classroom Participation

Ziyi Liu*, Zhengzhe Zhu*, Lijun Zhu, Enze Jiang, Xiyun Hu, Kylie A Peppler, Karthik Ramani
In Proceedings of the CHI Conference on Human Factors in Computing Systems, pp. 1-17. 2024.

Peer influence plays a crucial role in promoting classroom participation, where behaviors from active students can contribute to a collective classroom learning experience. However, the presence of these active students depends on several...

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs

Adam D. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swensonk, Sydney Whittingtonk, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha
Advances in Neural Information Processing Systems 36 (2023)

We present AircraftVerse, a publicly available aerial vehicle design dataset. Aircraft design encompasses different physics domains and, hence, multiple modalities of representation. The evaluation of these cyber-physical system (CPS) designs...

Interacting Objects: A dataset of object-object interactions for richer dynamic scene representations

Interacting Objects: A dataset of object-object interactions for richer dynamic scene representations

Asim Unmesh, Rahul Jain, Jingyu Shi, VK Chaitanya, Hyung-Gun Chi, Subramanian Chidambaram, Alexander Quinn, Karthik Ramani
IEEE Robotics and Automation Letters, vol. 9, no. 1, pp. 451-458, Jan. 2024

Interacting Objects: A dataset of object-object interactions for richer dynamic scene representations Asim Unmesh, Rahul Jain, Jingyu Shi, V. K. Chaithanya Manam, Hyung-Gun Chi, Subramanian Chidambaram, Alexander J. Quinn, Karthik Ramani IEEE...

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Jingyu Shi*, Rahul Jain*, Hyungjun Doh, Ryo Suzuki, Karthik Ramani
Submitted to ACM Computing Surveys

Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic content across different formats like images, videos, and text. In Generative AI, human involvement is essential, thus HCI literature has investigated how...

Deep Ritz Method with Adaptive Quadrature for Linear Elasticity

Deep Ritz Method with Adaptive Quadrature for Linear Elasticity

Min Liu, Zhiqiang Cai, Karthik Ramani
Computer Methods in Applied Mechanics and Engineering Vol. 415 116229 (2023)

In this paper, we study the deep Ritz method for solving the linear elasticity equation from a numerical analysis perspective. A modified Ritz formulation using the H1/2(ΓD) norm is introduced and analyzed for linear elasticity equation in order to...

AdamsFormer for Spatial Action Localization in the Future

AdamsFormer for Spatial Action Localization in the Future

Hyung-Gun Chi, Kwonjoon Lee, Nakul Agarwal, Yi Xu, Karthik Ramani, Chiho Choi
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Predicting future action locations is vital for applications like human-robot collaboration. While some computer vision tasks have made progress in predicting human actions, accurately localizing these actions in future frames remains an area with...

ImpersonatAR: Using Embodied Authoring and Evaluation to Prototype Multi-Scenario Use cases for Augmented Reality Applications

ImpersonatAR: Using Embodied Authoring and Evaluation to Prototype Multi-Scenario Use cases for Augmented Reality Applications

Meng-Han Wu, Ananya Ipsita, Gaoping Huang, Karthik Ramani, Alexander J Quinn
in ASME. J. Comput. Inf. Sci. Eng.

Prototyping use cases for Augmented Reality (AR) applications can be beneficial to elicit the functional requirements of the features early-on, to drive the subsequent development in a goal-oriented manner. Doing so would require designers to...

The Design of a Virtual Prototyping System for Authoring Interactive Virtual Reality Environments From Real-World Scans

The Design of a Virtual Prototyping System for Authoring Interactive Virtual Reality Environments From Real-World Scans

Ananya Ipsita*, Runlin Duan*, Hao Li*, Subramanian Chidambaram, Yuanzhi Cao, Min Liu, Alex Quinn, Karthik Ramani
in ASME. J. Comput. Inf. Sci. Eng. March 2024

Domain users (DUs) with a knowledge base in specialized fields are frequently excluded from authoring virtual reality (VR)-based applications in corresponding fields. This is largely due to the requirement of VR programming expertise needed to...

Ubi-TOUCH: Ubiquitous Tangible Object Utilization through Consistent Hand-object interaction in Augmented Reality

Ubi-TOUCH: Ubiquitous Tangible Object Utilization through Consistent Hand-object interaction in Augmented Reality

Rahul Jain*, Jingyu Shi*, Runlin Duan, Zhengzhe Zhu, Xun Qian, Karthik Ramani
In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (UIST 2023)

Utilizing everyday objects as tangible proxies for Augmented Reality (AR) provides users with haptic feedback while interacting with virtual objects. Yet, existing methods focus on the attributes of the objects, constraining the possible proxies...

Ubi Edge: Authoring Edge-Based Opportunistic Tangible User Interfaces in Augmented Reality

Ubi Edge: Authoring Edge-Based Opportunistic Tangible User Interfaces in Augmented Reality

Fengming He, Xiyun Hu, Jingyu Shi, Xun Qian, Tianyi Wang, Karthik Ramani
In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Edges are one of the most ubiquitous geometric features of physical objects. They provide accurate haptic feedback and easy-totrack features for camera systems, making them an ideal basis for Tangible User Interfaces (TUI) in Augmented Reality...

Pose Relation Transformer: Refine Occlusions for Human Pose Estimation

Pose Relation Transformer: Refine Occlusions for Human Pose Estimation

Hyung-gun Chi, Seung-gun Chi, Stanley Chan, Karthik Ramani
In 2023 International Conference on Robotics and Automation (ICRA)

Accurately estimating the human pose is an essential task for many applications in robotics. However, existing pose estimation methods suffer from poor performance when occlusion occurs. Recent advances in NLP have been very successful in...

InstruMentAR: Auto-Generation of Augmented Reality Tutorials for Operating Digital Instruments Through Recording Embodied

InstruMentAR: Auto-Generation of Augmented Reality Tutorials for Operating Digital Instruments Through Recording Embodied

Ziyi Liu, Zhengzhe Zhu, Enze Jiang, Feichi Huang, Ana Villanueva, Tianyi Wang, Xun Qian, Karthik Ramani
In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Augmented Reality tutorials, which provide necessary context by directly superimposing visual guidance on the physical referent, represent an effective way of scaffolding complex instrument operations. However, current AR tutorial authoring...

LearnIoTVR: An End-to-End Virtual Reality Environment Providing Authentic Learning Experiences for Internet of Things

LearnIoTVR: An End-to-End Virtual Reality Environment Providing Authentic Learning Experiences for Internet of Things

Zhengzhe Zhu, Ziyi Liu, Youyou Zhang, Lijun Zhu, Joey Huang, Ana villanueva, Xun Qian, Kylie Peppler, Karthik Ramani
In the Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

The rapid growth of Internet-of-Things (IoT) applications has generated interest from many industries and a need for graduates with relevant knowledge. An IoT system is comprised of spatially distributed interactions between humans and various...

Advanced modeling method for quantifying cumulative subjective fatigue in mid-air interaction

Advanced modeling method for quantifying cumulative subjective fatigue in mid-air interaction

Ana Villanueva, Sujin Jang, Wolfgang Stuerzlinger, Satyajit Ambike, Karthik Ramani
International Journal of Human-Computer Studies 169 (2023): 102931

Interaction in mid-air can be fatiguing. A model-based method to quantify cumulative subjective fatigue for such interaction was recently introduced in HCI research. This model separates muscle units into three states: active (MA) fatigued (MF) or...

MechARspace: An Authoring System Enabling Bidirectional Binding of Augmented Reality with Toys in Real-time

MechARspace: An Authoring System Enabling Bidirectional Binding of Augmented Reality with Toys in Real-time

Zhengzhe Zhu, Ziyi Liu, Tianyi Wang, Youyou Zhang, Xun Qian, Pashin Farsak Raja, Ana Villanueva, Karthik Ramani
In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (pp. 1-16).

Augmented Reality (AR), which blends physical and virtual worlds, presents the possibility of enhancing traditional toy design. By leveraging bidirectional virtual-physical interactions between humans and the designed artifact, such AR-enhanced...

ARnnotate: An Augmented Reality Interface for Collecting Custom Dataset of 3D Hand-Object Interaction Pose Estimation

ARnnotate: An Augmented Reality Interface for Collecting Custom Dataset of 3D Hand-Object Interaction Pose Estimation

Xun Qian, Fengming He, Xiyun Hu, Tianyi Wang, Karthik Ramani
In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (pp. 1-14)

Vision-based 3D pose estimation has substantial potential in hand-object interaction applications and requires user-specified datasets to achieve robust performance. We propose ARnnotate, an Augmented Reality (AR) interface enabling end-users to...

EditAR: A Digital Twin Authoring Environment for Creation of AR/VR and Video Instructions from a Single Demonstration

EditAR: A Digital Twin Authoring Environment for Creation of AR/VR and Video Instructions from a Single Demonstration

Subramanian Chidambaram, Sai Swarup Reddy, Matthew Rumple, Ananya Ipsita, Ana Villanueva, Thomas Redick, Wolfgang Stuerzlinger, Karthik Ramani
In 2022 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

Augmented/Virtual reality and video-based media play a vital role in the digital learning revolution to train novices in spatial tasks. However, creating content for these different media requires expertise in several fields. We present EditAR, a...

Advanced modeling method for quantifying cumulative subjective fatigue in mid-air interaction

Advanced modeling method for quantifying cumulative subjective fatigue in mid-air interaction

Ana Villanueva, Sujin Jang, Wolfgang Stuerzlinger, SatyajitAmbike, Karthik Ramani
International Journal of Human-Computer Studies, 102931

Interaction in mid-air can be fatiguing. A model-based method to quantify cumulative subjective fatigue for such interaction was recently introduced in HCI research. This model separates muscle units into three states: active (Ma) fatigued (Mf) or...

StretchAR: Exploiting Touch and Stretch as a Method of Interaction for Smart Glasses Using Wearable Straps

StretchAR: Exploiting Touch and Stretch as a Method of Interaction for Smart Glasses Using Wearable Straps

Luis Paredes, Ananya Ipsita, Juan C. Mesa, Ramses V. Martinez Garrido, Karthik Ramani
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6(3), 1-26

Over the past decade, augmented reality (AR) developers have explored a variety of approaches to allow users to interact with the information displayed on smart glasses and head-mounted displays (HMDs). Current interaction modalities such as...

ScalAR: Authoring Semantically Adaptive Augmented Reality Experiences in Virtual Reality

ScalAR: Authoring Semantically Adaptive Augmented Reality Experiences in Virtual Reality

Xun Qian, Fengming He, Xiyun Hu, Tianyi Wang, Ananya Ipsita, and Karthik Ramani
In the Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Augmented Reality (AR) experiences tightly associate virtual contents with environmental entities. However, the dissimilarity of different environments limits the adaptive AR content behaviors under large-scale deployment. We propose ScalAR, an...

Towards Modeling of Virtual Reality Welding Simulators to Promote Accessible and Scalable Training

Towards Modeling of Virtual Reality Welding Simulators to Promote Accessible and Scalable Training

Ananya Ipsita, Levi Erickson, Yangzi Dong, Joey Huang, Alexa Bushinski, Sraven Saradhi, Ana Villanueva, Kylie Peppler, Thomas Redick, and Karthik Ramani
In the Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

The US manufacturing industry is currently facing a welding workforce shortage which is largely due to inadequacy of widespread welding training. To address this challenge, we present a Virtual Reality (VR)-based training system aimed at...

InfoGCN: Representation Learning for Human Skeleton-based Action Recognition

InfoGCN: Representation Learning for Human Skeleton-based Action Recognition

Hyung-gun Chi, Myoung Hoon Ha, Seunggeun Chi, Sang Wan Lee, Qixing Huang, and Karthik Ramani
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Human skeleton-based action recognition offers a valuable means to understand the intricacies of human behavior because it can handle the complex relationships between physical constraints and intention. Although several studies have focused on...

ColabAR: A Toolkit for Remote Collaboration in Tangible Augmented Reality Laboratories

ColabAR: A Toolkit for Remote Collaboration in Tangible Augmented Reality Laboratories

Ana Villanueva, Zhengzhe Zhu, Ziyi Liu, Feiyang Wang, Subramanian Chidambaram, Karthik Ramani
In the Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1), 1-22

Current times are accelerating new technologies to provide high-quality education for remote collaboration, as well as hands-on learning. This is particularly important in the case of laboratory-based classes, which play an essential role in STEM...

CHIMERA: Supporting Wearables Development across Multidisciplinary Perspectives

CHIMERA: Supporting Wearables Development across Multidisciplinary Perspectives

Luis Paredes, Caroline McMillan, Wan Kyn Chan, Senthil Chandrasegaran, Ramyak Singh, Karthik Ramani, and Danielle Wilde
In the Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Wearable technologies draw on a range of disciplines, including fashion, textiles, HCI, and engineering. Due to differences in methodology, wearables researchers can experience gaps or breakdowns in values, goals, and vocabulary when collaborating....

GesturAR: An Authoring System for Creating Freehand Interactive Augmented Reality Applications

GesturAR: An Authoring System for Creating Freehand Interactive Augmented Reality Applications

Tianyi Wang, Xun Qian, Fengming He, Xiyun Hu, Yuanzhi Cao, Karthik Ramani
In The 34th Annual ACM Symposium on User Interface Software and Technology (UIST '21)

Freehand gesture is an essential input modality for modern Augmented Reality (AR) user experiences. However, developing AR applications with customized hand interactions remains a challenge for end-users. Therefore, we propose GesturAR, an...

ProcessAR: An augmented reality-based tool to create in-situ procedural 2D/3D AR Instructions

ProcessAR: An augmented reality-based tool to create in-situ procedural 2D/3D AR Instructions

Subramanian Chidambaram, Hank Huang, Fengming He, Xun Qian, Ana M Villanueva, Thomas S Redick, Wolfgang Stuerzlinger, Karthik Ramani
In Proceedings of the Designing Interactive Systems Conference

Augmented reality (AR) is an efficient form of delivering spatial information and has great potential for training workers. However, AR is still not widely used for such scenarios due to the technical skills and expertise required to create...

FabHandWear : An End-to-End Pipeline from Design to Fabrication of Customized Functional Hand Wearables

FabHandWear : An End-to-End Pipeline from Design to Fabrication of Customized Functional Hand Wearables

Luis Paredes, Sai Swarup Reddy, Subramanian Chidambaram, Devashri Vagholkar, Yunbo Zhang, Bedrich Benes, Karthik Ramani
In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Current hand wearables have limited customizability, they are loose-fit to an individual's hand and lack comfort. The main barrier in customizing hand wearables is the geometric complexity and size variation in hands. Moreover, there are different...

Towards modeling of human skilling for electrical circuitry using augmented reality applications

Towards modeling of human skilling for electrical circuitry using augmented reality applications

Ana Villanueva, Ziyi Liu, Yoshimasa Kitaguchi, Zhengzhe Zhu, Kylie Peppler, Thomas Redick, Karthik Ramani
International Journal of Educational Technology in Higher Education

Augmented reality (AR) is a unique, hands-on tool to deliver information. However, its educational value has been mainly demonstrated empirically so far. In this paper, we present a modeling approach to provide users with mastery of a skill, using...

RobotAR: An Augmented Reality Compatible Teleconsulting Robotics Toolkit for Augmented Makerspace Experiences

RobotAR: An Augmented Reality Compatible Teleconsulting Robotics Toolkit for Augmented Makerspace Experiences

Ana Villanueva, Zhengzhe Zhu, Ziyi Liu, Xin Du, Joey Huang, Kylie Peppler, Karthik Ramani
In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Distance learning is facing a critical moment finding a balance between high quality education for remote students and engaging them in hands-on learning. This is particularly relevant for project-based classrooms and makerspaces, which typically...

LightPaintAR: Assist Light Painting Photography with Augmented Reality

LightPaintAR: Assist Light Painting Photography with Augmented Reality

Tianyi Wang, Xun Qian, Fengming He, Karthik Ramani
In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Light painting photos are created by moving light sources in mid-air while taking a long exposure photo. However, it is challenging for novice users to leave accurate light traces without any spatial guidance. Therefore, we present LightPaintAR, a...

AdapTutAR: An Adaptive Tutoring System for Machine Tasks in Augmented Reality

AdapTutAR: An Adaptive Tutoring System for Machine Tasks in Augmented Reality

Gaoping Huang*, Xun Qian*, Tianyi Wang, Fagun Patel, Maitreya Sreeram, Yuanzhi Cao, Karthik Ramani, and Alexander J. Quinn
In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Modern manufacturing processes are in a state of flux, as they adapt to increasing demand for flexible and self-configuring production. This poses challenges for training workers to rapidly master new machine operations and processes, i.e. machine...

VRFromX: From Scanned Reality to Interactive Virtual Experience with Human-in-the-Loop

VRFromX: From Scanned Reality to Interactive Virtual Experience with Human-in-the-Loop

Ananya Ipsita, Hao Li, Runlin Duan, Yuanzhi Cao, Subramanian Chidambaram, Min Liu, Karthik Ramani
In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

There is an increasing trend of Virtual-Reality (VR) applications found in education, entertainment, and industry. Many of them utilize real world tools, environments, and interactions as bases for creation. However, creating such applications is...

First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset

First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset

Sangpil Kim, Hyung-gun Chi, Xiao Hu, Anirudh Vegesana, Karthik Ramani
In proceedings of the 31st British Machine Vision Conference (BMVC)

Abstract:  First-person-view videos of hands interacting with tools are widely used in the computer vision industry. However, creating a dataset with pixel-wise segmentation of hands is challenging since most videos are captured with fingertips...

A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks

A Large-scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks

Sangpil Kim*, Hyung-gun Chi*, Xiao Hu, Qixing Huang, Karthik Ramani
In proceedings of 16th European Conference on Computer Vision (ECCV)

We introduce a large-scale annotated mechanical components benchmark for classification and retrieval tasks named Mechanical Components Benchmark (MCB): a large-scale dataset of 3D objects of mechanical components. The dataset enables data-driven...

CAPturAR: An Augmented Reality Tool for Authoring Human-Involved Context-Aware Applications

CAPturAR: An Augmented Reality Tool for Authoring Human-Involved Context-Aware Applications

Tianyi Wang*, Xun Qian*, Fengming He, Xiyun Hu, Ke Huo, Yuanzhi Cao, Karthik Ramani
In Proceedings of the 2020 UIST 33rd ACM User Interface Software and Technology Symposium

Recognition of human behavior plays an important role in context-aware applications. However, it is still a challenge for end-users to build personalized applications that accurately recognize their own activities. Therefore, we present CAPturAR,...

StoryMakAR: Bringing Stories to Life with an Augmented Reality & Physical Prototyping Toolkit for Youth

StoryMakAR: Bringing Stories to Life with an Augmented Reality & Physical Prototyping Toolkit for Youth

Terrell Glenn, Ananya Ipsita, Caleb Carithers, Kylie Peppler, Karthik Ramani
In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Makerspaces can support educational experiences in prototyping for children. Storytelling platforms enable high levels of creativity and expression, but have high barriers of entry. We introduce StoryMakAR, which combines making and storytelling....

Vipo: Spatial-Visual Programming with Functions for Robot-IoT Workflows

Vipo: Spatial-Visual Programming with Functions for Robot-IoT Workflows

Gaoping Huang, Pawan S. Rao, Meng-Han Wu, Xun Qian, Shimon Y. Nof, Karthik Ramani, and Alexander J. Quinn
In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Mobile robots and IoT (Internet of Things) devices can increase productivity, but only if they can be programmed by workers who understand the domain. This is especially true in manufacturing. Visual programming in the spatial context of the...

An Exploratory Study of Augmented Reality Presence for Tutoring Machine Tasks

An Exploratory Study of Augmented Reality Presence for Tutoring Machine Tasks

Yuanzhi Cao, Xun Qian, Tianyi Wang, Rachel Lee, Ke Huo, Karthik Ramani
In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Machine tasks in workshops or factories are often a compound sequence of local, spatial, and body-coordinated human-machine interactions. Prior works have shown the merits of video-based and augmented reality (AR) tutoring systems for local tasks....

Meta-AR-App: An Authoring Platform for Collaborative Augmented Reality in STEM Classrooms

Meta-AR-App: An Authoring Platform for Collaborative Augmented Reality in STEM Classrooms

Ana Villanueva, Zhengzhe Zhu, Ziyi Liu, Thomas Redick, Kylie Peppler, and Karthik Ramani
In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Augmented Reality (AR) has become a valuable tool for education and training processes. Meanwhile, cloud-based technologies can foster collaboration and other interaction modalities to enhance learning. We combine the cloud capabilities with AR...

Autonomous Robotic Exploration and Mapping of Smart Indoor Environments With UWB-IoT Devices

Autonomous Robotic Exploration and Mapping of Smart Indoor Environments With UWB-IoT Devices

Tianyi Wang, Ke Huo, Muzhi Han, Daniel McArthur, Ze An, David Cappeleri, and Karthik Ramani
In Proceedings of AAAI Spring Symposium Series 2020

The emerging simultaneous localization and mapping (SLAM) techniques enable robots with the spatial awareness of the physical world. However, such awareness remains at a geometric level. We propose an approach for quickly constructing a smart...

Using Social Interaction Traced Data and Context to Predict Collaboration Quality and Creative Fluency in Collaborative Design Learning Environments

Using Social Interaction Traced Data and Context to Predict Collaboration Quality and Creative Fluency in Collaborative Design Learning Environments

Ninger Zhou, Lorraine Kisselburgh, Senthil Chandrasegaran, S. Karthik Badam, Niklas Elmqvist, and Karthik Ramani
International Journal of Human-Computer Studies 136 (2020): 102378

Engineering design typically occurs as a collaborative process situated in specific context such as computer-supported environments, however there is limited research examining the dynamics of design collaboration in specific contexts. In this...

Latent transformations neural network for object view synthesis

Latent transformations neural network for object view synthesis

Sangpil Kim, Nick Winovich, Hyung-Gun Chi, Guang Lin, Karthik Ramani
The Visual Computer (2019): 1-15.

We propose a fully convolutional conditional generative neural network, the latent transformation neural network, capable of rigid and non-rigid object view synthesis using a lightweight architecture suited for real-time applications and embedded...