MTV: Visual analytics for detecting, investigating, and annotating anomalies in multivariate time series

D Liu, S Alnegheimish, A Zytek… - Proceedings of the ACM …, 2022 - dl.acm.org
Detecting anomalies in time-varying multivariate data is crucial in various industries for the
predictive maintenance of equipment. Numerous machine learning (ML) algorithms have …

Collaborative Job Seeking for People with Autism: Challenges and Design Opportunities

Z Ara, A Ganguly, D Peppard, D Chung… - Proceedings of the CHI …, 2024 - dl.acm.org
Successful job search results from job seekers' well-shaped social communication. While
well-known differences in communication exist between people with autism and …

Partners in life and online search: Investigating older couples' collaborative information seeking

W Wei, C Munteanu, M Halvey - Proceedings of the 2022 Conference on …, 2022 - dl.acm.org
Older adults frequently collaborate with their spouses in daily tasks and problem solving.
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 …

Eliciting confidence for improving crowdsourced audio annotations

AE Méndez Méndez, M Cartwright, JP Bello… - Proceedings of the ACM …, 2022 - dl.acm.org
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 …

Closing the Knowledge Gap in Designing Data Annotation Interfaces for AI-powered Disaster Management Analytic Systems

Z Ara, H Salemi, SR Hong, Y Senarath… - Proceedings of the 29th …, 2024 - dl.acm.org
Data annotation interfaces predominantly leverage ground truth labels to guide annotators
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

SK D'Mello, N Duran, A Michaels… - User Modeling and User …, 2024 - Springer
Abstract We present CPSCoach 2.0, an automated system that provides feedback,
instructional scaffolding, and practice to help individuals improve three collaborative …

3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration Design

N Kwon, TS Sun, Y Gao, L Zhao, X Wang… - Proceedings of the …, 2024 - dl.acm.org
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 …

Examinations of search interactions, experiences and communication in collaborative search

L Zhang, C Liu, P Zhang - Aslib Journal of Information Management, 2024 - emerald.com
Purpose This study aims to explore the characteristics of collaborative information searching
by comparing the differences in search experience and interaction between collaborative …

Understanding human-side impact of sampling image batches in subjective attribute labeling

C Chung, J Lee, K Park, J Lee, M Kim, M Song… - Proceedings of the …, 2021 - dl.acm.org
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 …