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Distributed and Self-organizing Systems
Exploring an Architecture of an Adaptable GenAI-Driven Multimodal User Interface for Third-Party Systems
Exploring an Architecture of an Adaptable GenAI-Driven Multimodal User Interface for Third-Party Systems | Distributed and Self-organizing Systems
 

PUBLICATION

Exploring an Architecture of an Adaptable GenAI-Driven Multimodal User Interface for Third-Party Systems

Type

Workshop Paper

Year

2024

Authors

Research Area

Web Engineering

Event

Mensch und Computer 2024 (MuC)

Published in

Mensch und Computer 2024 - Workshopband

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Abstract

Nowadays, Generative Artificial Intelligence (GenAI) can outperform humans in creative professions, such as design. As a result, GenAI attracted a lot of attention from researchers and industry. However, GenAI could used to augment humans with a multimodal user interface, as proposed by Ben Shneiderman in his recent work on Human-Centred Artificial Intelligence (HCAI). Most studies of HCAI have mainly focused on greenfield projects. In contrast to existing research, we describe a brownfield software architecture approach with a loosely coupled GenAI-driven multimodal user interface that combines human interaction with third-party systems. A domain-specific language for user interaction connects natural language and signals of the existing system through GenAI. Our proposed architecture enables research and industry to provide user interfaces for existing software systems that allow hands-free interaction.

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Reference

Münch, Tobias; Gaedke, Martin: Exploring an Architecture of an Adaptable GenAI-Driven Multimodal User Interface for Third-Party Systems. Mensch und Computer 2024 - Workshopband, 2024.

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