DECI: The 2ndTutorial on Designing Effective Conversational Interfaces

Ujwal Gadiraju*, Kuldeep Yadav

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

Conversational User Interfaces (CUIs) have been argued to have advantages over traditional GUIs due to having a more human-like interaction. The growing popularity of conversational agents has enabled humans to interact with machines more naturally. People are increasingly familiar with conversational interactions mediated by technology due to the widespread use of mobile devices and messaging services and a hungry market for conversational agents. Based on the recent advances in conversational AI, due to the proliferation of large language models, there are clear signs that the future of human-computer interaction will have a significant conversational component. Today, over two-thirds of the population on our planet has access to the Internet, with ever-lowering barriers to accessibility. This tutorial will showcase the benefits of employing novel conversational interfaces for crowd computing, human-AI decision making, health and well-being, and information retrieval. Given the widespread adoption of AI systems across several domains, we will discuss the potential of conversational interfaces in facilitating and mediating people's interactions with AI systems and the opportunities and challenges that lie at this intersection from the user modeling and personalization standpoint. The tutorial will include interactive elements and discussions and provide participants with practical insights to inform the design of effective conversational interfaces.

Original languageEnglish
Title of host publicationUMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery (ACM)
Pages5-8
Number of pages4
ISBN (Electronic)9798400704666
DOIs
Publication statusPublished - 2024
Event32nd ACM Conference on User Modeling, Adaptation and Personalization - Cagliari, Italy
Duration: 1 Jul 20244 Jul 2024
Conference number: 32
https://www.um.org/umap2024/

Publication series

NameUMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference32nd ACM Conference on User Modeling, Adaptation and Personalization
Abbreviated titleUMAP 2024
Country/TerritoryItaly
CityCagliari
Period1/07/244/07/24
Internet address

Keywords

  • conversational AI
  • conversational crowdsourcing
  • conversational user interfaces
  • human-AI decision making
  • human-AI interaction

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