MTV: Visual analytics for detecting, investigating, and annotating anomalies in multivariate time series
Detecting anomalies in time-varying multivariate data is crucial in various industries for the
predictive maintenance of equipment. Numerous machine learning (ML) algorithms have …
predictive maintenance of equipment. Numerous machine learning (ML) algorithms have …
Collaborative Job Seeking for People with Autism: Challenges and Design Opportunities
Successful job search results from job seekers' well-shaped social communication. While
well-known differences in communication exist between people with autism and …
well-known differences in communication exist between people with autism and …
Partners in life and online search: Investigating older couples' collaborative information seeking
Older adults frequently collaborate with their spouses in daily tasks and problem solving.
Despite information seeking being an important aspect of collaboration, the information …
Despite information seeking being an important aspect of collaboration, the information …
Abstractions for visualizing preferences in group decisions
E Hindalong, J Johnson, G Carenini… - Proceedings of the ACM …, 2022 - dl.acm.org
Group decision making occurs when individuals collectively choose from a set of
alternatives based on individual preferences. In these ubiquitous situations, it can be helpful …
alternatives based on individual preferences. In these ubiquitous situations, it can be helpful …
Eliciting confidence for improving crowdsourced audio annotations
In this work we explore confidence elicitation methods for crowdsourcing" soft" labels, eg,
probability estimates, to reduce the annotation costs for domains with ambiguous data …
probability estimates, to reduce the annotation costs for domains with ambiguous data …
Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems
Data annotation interfaces predominantly leverage ground truth labels to guide annotators
toward accurate responses. With the growing adoption of Artificial Intelligence (AI) in domain …
toward accurate responses. With the growing adoption of Artificial Intelligence (AI) in domain …
Improving collaborative problem-solving skills via automated feedback and scaffolding: a quasi-experimental study with CPSCoach 2.0
Abstract We present CPSCoach 2.0, an automated system that provides feedback,
instructional scaffolding, and practice to help individuals improve three collaborative …
instructional scaffolding, and practice to help individuals improve three collaborative …
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration Design
The widespread consumer-grade 3D printers and learning resources online enable novices
to self-train in remote settings. While troubleshooting plays an essential part of 3D printing …
to self-train in remote settings. While troubleshooting plays an essential part of 3D printing …
Examinations of search interactions, experiences and communication in collaborative search
Purpose This study aims to explore the characteristics of collaborative information searching
by comparing the differences in search experience and interaction between collaborative …
by comparing the differences in search experience and interaction between collaborative …
Understanding human-side impact of sampling image batches in subjective attribute labeling
Capturing human annotators' subjective responses in image annotation has become crucial
as vision-based classifiers expand the range of application areas. While there has been …
as vision-based classifiers expand the range of application areas. While there has been …