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Designing AI Personalities: Enhancing Human-Agent Interaction Through Thoughtful Persona Design

Published: 02 December 2024 Publication History

Abstract

In the rapidly evolving field of artificial intelligence (AI) agents, designing the agent’s characteristics is crucial for shaping user experience. This workshop aims to establish a research community focused on AI agent persona design for various contexts, such as in-car assistants, educational tools, and smart home environments. We will explore critical aspects of persona design, such as voice, embodiment, and demographics, and their impact on user satisfaction and engagement. Through discussions and hands-on activities, we aim to propose practices and standards that enhance the ecological validity of agent personas. Topics include the design of conversational interfaces, the influence of agent personas on user experience, and approaches for creating contextually appropriate AI agents. This workshop will provide a platform for building a community dedicated to developing AI agent personas that better fit diverse, everyday interactions.

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MUM '24: Proceedings of the International Conference on Mobile and Ubiquitous Multimedia
December 2024
568 pages
ISBN:9798400712838
DOI:10.1145/3701571
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

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Publication History

Published: 02 December 2024

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Author Tags

  1. conversational user interfaces
  2. AI Agents
  3. Personas
  4. Speech Interfaces
  5. Conversational Agents

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MUM '24

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Overall Acceptance Rate 190 of 465 submissions, 41%

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