An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

The paper: http://arxiv.org/abs/2310.07127

## Purpose 
The paper presents a taxonomy and analysis of human-Generative AI (GenAI) interactions, highlighting the importance of understanding these interactions in the development of GenAI systems.

## Methods 
- Survey of 154 papers
- Analysis of Human-GenAI interactions from both human and AI perspectives
- Development of a novel taxonomy considering various dimensions of design space

## Key Findings 
1. **Taxonomy of Human-GenAI Interactions**: Includes dimensions such as purposes of using GenAI, feedback from models to users, control from users to models, levels of engagement, application domains, and evaluation strategies.
2. **Importance of Human-Centric Design**: Emphasizes the need for a human-centered approach in the design of GenAI systems and interactions.
3. **Identification of Challenges and Opportunities**: Offers guidance for future design of human-centered generative AI applications.

## Discussion 
This paper is significant as it systematically analyzes the holistic aspects of human-centered GenAI systems, which are often overlooked. It provides a comprehensive framework to better understand and design GenAI interactions.

## Critiques 
1. **Limited Scope**: The paper might have a limited scope in terms of addressing all possible aspects of Human-GenAI interactions.
2. **Rapidly Evolving Field**: The fast-paced nature of AI might mean that the taxonomy needs regular updates to stay relevant.

## Tags
#HumanGenAIInteraction #GenerativeAI #HCIDesign #AIResearch #UserEngagement