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Author: 1365

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Human-in-the-loop Pose Estimation via Shared Autonomy

Reliable, efficient shared autonomy requires balancing human operation and robot automation on complex tasks, such as for dexterous manipulation. Adding to the difficulty of shared autonomy is a robot’s limited ability to perceive the 6 degree-of-freedom pose of objects, which is essential to perform manipulation affo…

Zhefan Ye et al.University of Michigan

C-Reference: Improving 2D to 3D Object Pose Estimation Accuracy via Crowdsourced Joint Object Estimation

Converting widely-available 2D images and videos, captured using RGB camera, to 3D can help accelerate the training of machine learning systems in spatial reasoning domains ranging from in-home assistive robots to augmented reality and autonomous vehicles. However, automating this task is challenging because it requir…

Jean Y. Song et al.University of Michigan

Crowds and Collaboration

Towards Supporting Programming Education at Scale via Live Streaming

Live streaming, which allows streamers to broadcast their work to live viewers, is an emerging practice for teaching and learning computer programming. Participation in live streaming is growing rapidly, despite several apparent challenges, such as a general lack of training in pedagogy among streamers and scarce sign…

Yan Chen et al.University of Michigan

Learning, Education, and Mentoring

Crowdsourced Detection of Emotionally Manipulative Language

Detecting rhetoric that manipulates readers' emotions requires distinguishing intrinsically emotional content (IEC; e.g., a parent losing a child) from emotionally manipulative language (EML; e.g., using fear-inducing language to spread anti-vaccine propaganda). However, this remains an open classification challenge f…

Jordan S. Huffaker et al.University of Michigan

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An Experimental Study of Bias in Platform Worker Ratings: The Role of Performance Quality and Gender

We study how the ratings people receive on online labor platforms are influenced by their performance, gender, their rater's gender, and displayed ratings from other raters. We conducted a deception study in which participants collaborated on a task with a pair of simulated workers, who varied in gender and performanc…

Farnaz Jahanbakhsh et al.University of Michigan

Efficient Elicitation Approaches to Estimate Collective Crowd Answers

When crowdsourcing the creation of machine learning datasets, statistical distributions that capture diverse answers can represent ambiguous data better than a single best answer. Unfortunately, collecting distributions is expensive because a large number of responses need to be collected to form a stable distribution…

John Joon Young Chung et al.Midjourney

Crowds and participatory sensing

Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments

Digital educational resources could enable the use of randomized experiments to answer pedagogical questions that instructors care about, taking academic research out of the laboratory and into the classroom. We take an instructor-centered approach to designing tools for experimentation that lower the barriers for ins…

Joseph Jay Williams et al.National University of Singapore

Two Tools are Better Than One: Tool Diversity as a Means of Improving Aggregate Crowd Performance

Crowdsourcing is a common means of collecting image segmentation training data for use in a variety of computer vision applications. However, designing accurate crowd-powered image segmentation systems is challenging because defining object boundaries in an image requires significant fine motor skills and hand-eye coo…

Jean Y. Song et al.University of Michigan

Bolt: Instantaneous Crowdsourcing via Just-in-Time Training

Real-time crowdsourcing has made it possible to solve problems that are beyond the scope of artificial intelligence (AI) within a matter of seconds, rather than hours or days with traditional crowdsourcing techniques. While this has led to an increase in the potential application domains of crowdsourcing and human com…

Alan Lundgard et al.University of Michigan

Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning

While having a step-by-step breakdown for a task—an action plan—helps people complete tasks, prior work has shown that people prefer not to make action plans for their own tasks. Getting planning support from others could be beneficial, but it is limited by how much domain knowledge people have about the task and how…

Harmanpreet Kaur et al.University of Michigan

Language and Linguistics

Workshop: Accessible Voice Interfaces

Voice interfaces such as in-home and mobile digital assistants, mobile screen readers, and chatbots are tools that can support communication, collaboration, and information seeking, and are becoming increasingly commonplace. Because they don’t require the motor skills needed for text input through a keyboard, the barr…

Robin Brewer et al.University of Michigan

Workshop: Accessible Voice Interfaces

Exploring Real-time Collaboration in Crowd-powered Systems Through a UI Design Tool

Real-time collaboration between a requester and crowd workers expands the scope of tasks that crowdsourcing can be used for by letting requesters and crowd workers interactively create various artifacts (e.g., a sketch prototype, writing, or program code). In such systems, it is increasingly common to allow requesters…

Sang Won Lee et al.Virginia Tech

Crowdsourcing Systems

Paper Title	Authors	Research Topics
Human-in-the-loop Pose Estimation via Shared Autonomy Reliable, efficient shared autonomy requires balancing human operation and robot automation on complex tasks, such as for dexterous manipulation. Adding to the difficulty of shared autonomy is a robot’s limited ability to perceive the 6 degree-of-freedom pose of objects, which is essential to perform manipulation affo…	ZY Zhefan Ye et al.University of Michigan
C-Reference: Improving 2D to 3D Object Pose Estimation Accuracy via Crowdsourced Joint Object Estimation Converting widely-available 2D images and videos, captured using RGB camera, to 3D can help accelerate the training of machine learning systems in spatial reasoning domains ranging from in-home assistive robots to augmented reality and autonomous vehicles. However, automating this task is challenging because it requir…	JS Jean Y. Song et al.University of Michigan	Crowds and Collaboration
Towards Supporting Programming Education at Scale via Live Streaming Live streaming, which allows streamers to broadcast their work to live viewers, is an emerging practice for teaching and learning computer programming. Participation in live streaming is growing rapidly, despite several apparent challenges, such as a general lack of training in pedagogy among streamers and scarce sign…	YC Yan Chen et al.University of Michigan	Learning, Education, and Mentoring
Crowdsourced Detection of Emotionally Manipulative Language Detecting rhetoric that manipulates readers' emotions requires distinguishing intrinsically emotional content (IEC; e.g., a parent losing a child) from emotionally manipulative language (EML; e.g., using fear-inducing language to spread anti-vaccine propaganda). However, this remains an open classification challenge f…	JH Jordan S. Huffaker 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
An Experimental Study of Bias in Platform Worker Ratings: The Role of Performance Quality and Gender We study how the ratings people receive on online labor platforms are influenced by their performance, gender, their rater's gender, and displayed ratings from other raters. We conducted a deception study in which participants collaborated on a task with a pair of simulated workers, who varied in gender and performanc…	FJ Farnaz Jahanbakhsh et al.University of Michigan
emoji_events Efficient Elicitation Approaches to Estimate Collective Crowd Answers When crowdsourcing the creation of machine learning datasets, statistical distributions that capture diverse answers can represent ambiguous data better than a single best answer. Unfortunately, collecting distributions is expensive because a large number of responses need to be collected to form a stable distribution…	JC John Joon Young Chung et al.Midjourney	Crowds and participatory sensing
Enhancing Online Problems Through Instructor-Centered Tools for Randomized Experiments Digital educational resources could enable the use of randomized experiments to answer pedagogical questions that instructors care about, taking academic research out of the laboratory and into the classroom. We take an instructor-centered approach to designing tools for experimentation that lower the barriers for ins…	JW Joseph Jay Williams et al.National University of Singapore
Two Tools are Better Than One: Tool Diversity as a Means of Improving Aggregate Crowd Performance Crowdsourcing is a common means of collecting image segmentation training data for use in a variety of computer vision applications. However, designing accurate crowd-powered image segmentation systems is challenging because defining object boundaries in an image requires significant fine motor skills and hand-eye coo…	JS Jean Y. Song et al.University of Michigan
Bolt: Instantaneous Crowdsourcing via Just-in-Time Training Real-time crowdsourcing has made it possible to solve problems that are beyond the scope of artificial intelligence (AI) within a matter of seconds, rather than hours or days with traditional crowdsourcing techniques. While this has led to an increase in the potential application domains of crowdsourcing and human com…	AL Alan Lundgard et al.University of Michigan
Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning While having a step-by-step breakdown for a task—an action plan—helps people complete tasks, prior work has shown that people prefer not to make action plans for their own tasks. Getting planning support from others could be beneficial, but it is limited by how much domain knowledge people have about the task and how…	HK Harmanpreet Kaur et al.University of Michigan	Language and Linguistics
Workshop: Accessible Voice Interfaces Voice interfaces such as in-home and mobile digital assistants, mobile screen readers, and chatbots are tools that can support communication, collaboration, and information seeking, and are becoming increasingly commonplace. Because they don’t require the motor skills needed for text input through a keyboard, the barr…	RB Robin Brewer et al.University of Michigan	Workshop: Accessible Voice Interfaces
Exploring Real-time Collaboration in Crowd-powered Systems Through a UI Design Tool Real-time collaboration between a requester and crowd workers expands the scope of tasks that crowdsourcing can be used for by letting requesters and crowd workers interactively create various artifacts (e.g., a sketch prototype, writing, or program code). In such systems, it is increasingly common to allow requesters…	SL Sang Won Lee et al.Virginia Tech	Crowdsourcing Systems