How Human is AI? Examining the Impact of Emotional Prompts on Artificial and Human and Responsiveness

TL;DR

This study explores how emotional prompts influence ChatGPT's responses and subsequent human communication, revealing that emotional tone significantly impacts AI behavior and human interactions.

Contribution

It provides novel insights into how emotional prompts affect AI responses and human communication, highlighting the bidirectional influence in human-AI interactions.

Findings

ChatGPT responds better when praised by users.

Expressing anger influences ChatGPT's ethical prioritization.

Blame increases hostility in human-human communication.

Abstract

This research examines how the emotional tone of human-AI interactions shapes ChatGPT and human behavior. In a between-subject experiment, we asked participants to express a specific emotion while working with ChatGPT (GPT-4.0) on two tasks, including writing a public response and addressing an ethical dilemma. We found that compared to interactions where participants maintained a neutral tone, ChatGPT showed greater improvement in its answers when participants praised ChatGPT for its responses. Expressing anger towards ChatGPT also led to a higher albeit smaller improvement relative to the neutral condition, whereas blaming ChatGPT did not improve its answers. When addressing an ethical dilemma, ChatGPT prioritized corporate interests less when participants expressed anger towards it, while blaming increases its emphasis on protecting the public interest. Additionally, we found that people used more negative, hostile, and disappointing expressions in human-human communication after interactions during which participants blamed rather than praised for their responses. Together, our findings demonstrate that the emotional tone people apply in human-AI interactions not only shape ChatGPT's outputs but also carry over into subsequent human-human communication.