# A Novel Representation to Improve Team Problem Solving in Real-Time

arXiv: https://arxiv.org/abs/2310.19539 · HTML: https://mlsanity.com/paper/2310.19539/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 1 of its 9 references that are in the map.
- First posted on arXiv 30 Oct 2023.

## Builds on (most cited first, 1 of 1)

- [diaLogic: Non-Invasive Speaker-Focused Data Acquisition for Team Behavior Modeling](https://mlsanity.com/paper/2209.00619/) (2022)

## Built on by (most cited first, 1 of 1)

- [A Large Language Model-based Computational Approach to Improve Identity-Related Write-Ups](https://mlsanity.com/paper/2312.16659/) (2023)

## Abstract (arXiv)

This paper proposes a novel representation to support computing metrics that help understanding and improving in real-time a team's behavior during problem solving in real-life. Even though teams are important in modern activities, there is little computing aid to improve their activity. The representation captures the different mental images developed, enhanced, and utilized during solving. A case study illustrates the representation.