# A Review on Dyadic Conversation Visualizations - Purposes, Data, Lens of Analysis

arXiv: https://arxiv.org/abs/1905.00653 · HTML: https://mlsanity.com/paper/1905.00653/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 May 2019.

## Built on by (most cited first, 2 of 2)

- [MONAH: Multi-Modal Narratives for Humans to analyze conversations](https://mlsanity.com/paper/2101.07339/) (2021)
- [Transfer Learning in Conversational Analysis through Reusing Preprocessing Data as Supervisors](https://mlsanity.com/paper/2112.03032/) (2021)

## Abstract (arXiv)

Many professional services are provided through text and voice systems, from voice calls over the internet to messaging and emails. There is a growing need for both individuals and organizations to understand these online conversations better and find actionable insights. One method that allows the user to explore insights is to build intuitive and rich visualizations that illustrate the content of the conversation. In this paper, we present a systematic survey of the various methods of visualizing a conversation and research papers involving interactive visualizations and human participants. Findings from the survey show that there have been attempts to visualize most, if not all, of the types of conversation that are taking place digitally, from speech to messages and emails. Through this survey, we make two contributions. One, we summarize the current practices in the domain of visualizing dyadic conversations. Two, we provide suggestions for future dialogue visualization research.