Measure of Uncertainty in Human Emotions

TL;DR

This paper investigates how displaying uncertainty in emotion classification affects human decision-making, highlighting that more uncertainty information can increase user confidence in decisions.

Contribution

It introduces an experimental evaluation of uncertainty displays in emotion classification systems, a relatively unexplored area in human-computer interaction.

Findings

More uncertainty information improves user confidence.

Uncertainty displays influence decision-making processes.

Enhanced communication between humans and computers through uncertainty info.

Abstract

Many research explore how well computers are able to examine emotions displayed by humans and use that data to perform different tasks. However, there have been very few research which evaluate the computers ability to generate emotion classification information in an attempt to help the user make decisions or perform tasks. This is a crucial area to explore as it is paramount to the two way communication between humans and computers. This research conducted an experiment to investigate the impact of different uncertainty information displays of emotion classification on the human decision making process. Results show that displaying more uncertainty information can help users to be more confident when making decisions.