Demo Abstract: GIDEA: Generative AI-Powered Interactive Design and Evaluation Platform for Assistant Agent Research

Conducting human-computer interaction (HCI) experiments often requires extensive manual effort, including configuring environments, recruiting participants, and recording interactions. We introduce GIDEA, a generative AI-powered interactive design and evaluation platform for assistant agents to streamline and accelerate HCI research. Our platform employs a three-role interaction pipeline, where researchers define experiments, large language model-driven avatars simulated participants, and a smart assistant agent moderates interactions. This pipeline dynamically generates interaction scenarios, avatar profiles, and adaptive responses based on researcher input. By integrating with Unity, GIDEA enables real-time monitoring and control over simulated experiments, providing researchers with an interactive and adaptable evaluation environment. Through the replication of real-world case studies, we demonstrate that GIDEA reduces the time and effort required for HCI experiments while producing results that align with real studies. This capability has the potential to revolutionize HCI research by transforming traditionally lengthy and labor-intensive processes into a highly efficient, scalable, and adaptive methodology, accelerating innovation and broadening experimental possibilities.

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Publication Details

Published
2025-05-04
DOI
https://doi.org/10.1145/3715014.3724368
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00
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article

Demo Abstract: GIDEA: Generative AI-Powered Interactive Design and Evaluation Platform for Assistant Agent Research

Yu Yang, Ziyi Xuan, Yiwen Wu
Multi-Agent Systems and Negotiation
article

Demo Abstract: GIDEA: Generative AI-Powered Interactive Design and Evaluation Platform for Assistant Agent Research

Yu Yang, Ziyi Xuan, Yiwen Wu
article en

Abstract

Conducting human-computer interaction (HCI) experiments often requires extensive manual effort, including configuring environments, recruiting participants, and recording interactions. We introduce GIDEA, a generative AI-powered interactive design and evaluation platform for assistant agents to streamline and accelerate HCI research. Our platform employs a three-role interaction pipeline, where researchers define experiments, large language model-driven avatars simulated participants, and a smart assistant agent moderates interactions. This pipeline dynamically generates interaction scenarios, avatar profiles, and adaptive responses based on researcher input. By integrating with Unity, GIDEA enables real-time monitoring and control over simulated experiments, providing researchers with an interactive and adaptable evaluation environment. Through the replication of real-world case studies, we demonstrate that GIDEA reduces the time and effort required for HCI experiments while producing results that align with real studies. This capability has the potential to revolutionize HCI research by transforming traditionally lengthy and labor-intensive processes into a highly efficient, scalable, and adaptive methodology, accelerating innovation and broadening experimental possibilities.

Lehigh University (US)
Openalex Percentile: Top 96%
Multi-Agent Systems and Negotiation
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Demo Abstract: GIDEA: Generative AI-Powered Interactive Design and Evaluation Platform for Assistant Agent Research — Yu Yang, Ziyi Xuan, et al. · (2025) | TGRS Research Map | TGRS