Anjana Arunkumar

Anjana Arunkumar

PhD Student @ ASU

About

I am a 5th year PhD student in the School of Computing and Augmented Intelligence, Arizona State University. I’m a member of the Sonoran Visualization Laboratory (SVL @ ASU), supervised by Chris Bryan. I was an intern at the National Renewable Energy Laboratory (NREL) in Summer 2023.

My research interests lie at the intersection of visual cognition, natural language, technological literacy, virtual reality, and data visualization. Specifically, I investigate how visualization aesthetics and affordances influence decision-making, and build visual analytics pipelines. I also have a background in power systems visualization, exploring bias in natural language models, learning from instructions/prompting, and investigating the influence of visualization techniques in supply chain and project management.

Other related areas I’m excited about include developing visualization recommendation systems based on natural language queries, investigating annotation effects in visualizations, and visualizing uncertainty.

I’m always open to discuss new ideas and collaborate, do email to chat!

News

August 2023Our submission Comparing Collaborative Visualization Behaviors in Desktop and Augmented Reality Environments has been accepted as a full paper in VRST 2023
July 2023Our submission Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification has been accepted as a full paper in IEEE VIS 2023
July 2023Our submissions Examining the Effect of Visualization Proxemics on Decision Making using Touchscreen Dashboards and Automated Construction of Business Intelligence Dashboards Using Artificial Intelligence Tools have been accepted to Decision Sciences Institute Annual Conference 2023
March 2023Our submission LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity has been accepted as a full paper in Eurovis 2023
Jan 2023Our submission Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow has been accepted as a full paper in EACL 2023
Dec 2022Our submissions Examining The Effects of Visual Redundancy on Understanding Uncertainty Representations in Schedule Risk Analysis, and Examining the Effect of Reconfiguration Interactions on Understanding Uncertainty in Supply Chain Disruption have been accepted to Southwest Decision Sciences Institute Annual Conference 2023
Nov 2022Our submissions Examining the Effect of Visual Redundancy on the Understanding of Visualizations in Procurement and Sourcing, and Examining the Effect of Reconfiguration Interactions on the Understanding of Anomalies in Supply Chain Management have been accepted to Decision Sciences Institute Annual Conference 2022
Oct 2022Our work PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid has been accepted as a full paper in IEEE VIS 2022
Apr 2022Our work Benchmarking generalization via in-context instructions on 1,600+ language tasks has been accepted as a full paper in EMNLP 2022
Apr 2022Our work PMUVis: A Large Scale Platform to Assist Power System Operators in a Smart Grid has been published in IEEE Computer Graphics and Applications 2022
Apr 2022Our submissions Evaluation of Visual Uncertainty Representations in Schedule Risk Analysis, and Modelling the Complexity of Risk Centered Supply Chain Network Visualization have been accepted to Midwest Decision Sciences Institute Annual Conference 2022
Nov 2021Our submissions Impact of Uncertainty Representation on Decision Making for Business Network Visualization, Bayesian Modelling of Uncertainty in Schedule Risk Analysis using Gantt Charts, and Modelling the Complexity of Supply Chain Network Visualization have been accepted to Decision Sciences Institute Annual Conference 2021
Oct 2021Our work Bayesian Modelling of Alluvial Diagram Complexity has been accepted as a short paper in IEEE VIS 2021
Mar 2021Our submission Strategy-Enterprise System Alignment and Firm Performance has been accepted to Northeast Decision Sciences Institute Annual Conference 2021
Feb 2021Our work How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation has been accepted as a full paper in AAAI 2021
Oct 2020Our submission TotemFinder: A Visual Analytics Approach for Image-based Key Players Identification won an honorable mention in the VAST Challenge, in IEEE Vis 2020
Oct 2020Our submission A Visual Exploration of Fair Evaluation for ML - Bridging the Gap Between Research and the Real World has been accepted to the VisxAI workshop, in IEEE Vis 2020
July 2020Our submissions DQI: A Guide to Benchmark Evaluation and Our Evaluation Metric Needs an Update to Encourage Generalization have been accepted to the Uncertainty & Robustness in Deep Learning Workshop, in ICML 2020
Dec 2020Our submission VAIDA: An Educative Benchmark Creation Paradigm using Visual Analytics for Interactively Discouraging Artifacts has been accepted to the Crowd Science Workshop: Remoteness, Fairness, and Mechanisms as Challenges of Data Supply by Humans for Automation Workshop, in NeurIPS 2020
Dec 2020Our submission Front Contribution instead of Back Propagation has been accepted to the Beyond Backpropagation: Novel Ideas for Training Neural Architectures, in NeurIPS 2020
Dec 2020Our submission Real-Time Visual Feedback for Educative Benchmark Creation: A Human-and Metric-in-the-Loop Workflow has been accepted to the HAMLETS (Human And Machine in-the-Loop Evaluation and Learning Strategies) Workshop, in NeurIPS 2020
Dec 2020Our submission Is High Quality Data All You Need? has been accepted to The pre-registration experiment: an alternative publication model for machine learning research Workshop, in NeurIPS 2020
Nov 2020Our submissions Investigating the Influence of Top Management Support in Systemic Enterprise System Deployments, Examining Data Visualization's Impact on Decision Making, and Investigating the Influence of Chart Embellishment on Decision Making have been accepted to Decision Sciences Institute Annual Conference 2020
Nov 2019Our submissions Abstractive Summarization Through Sentiment Analysis Of User Product Reviews - An RNN Approach, Integration Mechanisms, Absorptive Capacity, & Enterprise Systems, Relational Capital & Enterprise Systems, and The Role of Consultants in Enterprise Systems have been accepted to Decision Sciences Institute Annual Conference 2019




Selected Publications

Anjana Arunkumar, Lace Padilla, Gi-Yeul Bae, and Chris Bryan. Image or Information? Examining the Nature and Impact of Visualization Perceptual Classification accepted to IEEE VIS 2023.
Paper | Supplementary Materials
Anjana Arunkumar, Shubham Sharma, Rakhi Agrawal, Sriram Chandrasekaran, and Chris Bryan. LINGO: Visually Debiasing Natural Language Instructions to Support Task Diversity Computer Graphics Forum, 42.3, 2023.
DOI | Paper | Video
Anjana Arunkumar, Swaroop Mishra, Bhavdeep Sachdeva, Chitta Baral, and Chris Bryan. Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow in press, accepted to EACL 2023.
DOI | Paper
Anjana Arunkumar, Andrea Pinceti, Lalitha Sankar, and Chris Bryan. PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid in press, accepted to IEEE Vis 2022.
DOI | Paper
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, and 35 others. Benchmarking generalization via in-context instructions on 1,600+ language tasks in press, accepted to EMNLP 2022.
arXiv preprint
Anjana Arunkumar, Shashank Ginjpalli, and Chris Bryan. Bayesian Modelling of Alluvial Diagram Complexity accepted to 2021 IEEE Visualization Conference (VIS), pp 51-55, 2021.
DOI | Paper
Swaroop Mishra and Anjana Arunkumar. How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation accepted to 2021 AAAI Conference on Artificial Intelligence, 35(15), 13561-13569.
DOI | Paper