Sentiment-aware design of human–computer interactions: How research in human–computer interaction and sentiment analysis can lead to more user-centered systems?

Publication Date

1-1-2023

Document Type

Contribution to a Book

Publication Title

Computational Intelligence Applications for Text and Sentiment Data Analysis

DOI

10.1016/B978-0-32-390535-0.00014-8

First Page

209

Last Page

224

Abstract

In this chapter, we examine how human-computer interaction (HCI) and sentiment analysis research can create more user-centered systems. We define HCI and sentiment analysis and explore their symbiotic relationship. By acknowledging the emotional nature of human users, we discuss the importance of emotionally intelligent interfaces in enhancing user experiences and promoting user retention. Drawing on interdisciplinary knowledge from machine learning, psychology, and cognitive science, we propose affective systems capable of adapting to users' emotional states. We outline the challenges of incorporating emotional intelligence, with an emphasis on emotion detection and expressiveness. We present Embodied Conversational Agents (ECAs) as an example of sentiment-aware systems that facilitate human-like interactions. Utilizing Maslow's hierarchy, we emphasize the significance of recognizing and prioritizing user needs, and propose essential properties for effective conversational agents. Lastly, we suggest methods for multimodal sentiment detection and conclude the chapter with future research directions and ethical considerations.

Keywords

Embodied conversational agents (ECAs), Emotion detection and expressiveness, Emotionally intelligent interfaces, Human-computer interaction (HCI), Maslow's hierarchy, Sentiment analysis, Sentiment-aware systems

Department

Information

Link to Full Text

Share

COinS