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Engagement in Human-Agent Interaction: An Overview.

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Summary
This summary is machine-generated.

Understanding user engagement in human-computer interaction is crucial for adaptive interfaces. This review clarifies engagement concepts across various studies and presents models for detecting and generating engagement behaviors.

Keywords:
engagementengagement generationengagement perceptionhuman-agent interaction (HAI)human-robot interaction (HRI)

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Area of Science:

  • Human-Computer Interaction
  • Artificial Intelligence
  • Psychology

Background:

  • Engagement is vital for designing adaptive user interfaces.
  • The term 'engagement' is used inconsistently across disciplines, causing confusion.
  • Engagement studies span human-human and human-agent interactions, including robots and virtual agents.

Purpose of the Study:

  • To provide a comprehensive overview of engagement factors in human-computer interaction.
  • To differentiate between task and social engagement, and consider user demographics (children/adults) and study settings (lab/long-term).
  • To present models for engagement detection and the generation of multimodal engagement behaviors.

Main Methods:

  • Literature review of engagement studies in human-computer interaction.
  • Categorization of studies based on engagement type, user group, and interaction context.
  • Analysis of existing models for engagement detection and behavior generation.

Main Results:

  • Engagement is a multifaceted concept with varying definitions and applications.
  • Key factors influencing engagement include task vs. social context, user age, and study duration.
  • Models exist for both detecting user engagement and generating systems' engagement behaviors.

Conclusions:

  • A clearer understanding of engagement is needed for consistent research and design.
  • Future research should focus on standardized definitions and robust models for engagement.
  • Developing adaptive interfaces requires a nuanced approach to understanding and displaying user engagement.