2 citations · 6 across the 5 of their papers we have counts for
7 papers
PAIR: Perceptual Affective Inference and Regulation in a Real-Time Multimodal Conversational Agent
Kexin Quan, Zijian Ding, Jiaye Yong +3
Sustained emotional support requires generative agents to connect momentary emotion inference and regulation with continuity across encounters. We present PAIR (Perceptual Affectiv…
From Momentary Emotion Inference to Sustained Emotion Support: Evaluating a Companion Agent in a Longitudinal Study
Kexin Quan, Zijian Ding, Jiaye Yong +3
Sustained emotional support is a long-horizon interaction task closely tied to human well-being. Recent research demonstrates generative agents' capacity for momentary emotional su…
CareerPooler: AI-Powered Metaphorical Pool Simulation Improves Experience and Outcomes in Career Exploration
Ziyi Wang, Ziwen Zeng, Yuan Li +1
Career exploration is uncertain, requiring decisions with limited information and unpredictable outcomes. While generative AI offers new opportunities for career guidance, most sys…
Frontend Diffusion: Empowering Self-Representation of Junior Researchers and Designers Through Multi-agent System
Zijian Ding, Qinshi Zhang, Mohan Chi +1
With the continuous development of generative AI's logical reasoning abilities, AI's growing code-generation potential poses challenges for both technical and creative professional…
Can AI Prompt Humans? Multimodal Agents Prompt Players' Game Actions and Show Consequences to Raise Sustainability Awareness
Qinshi Zhang, Ruoyu Wen, Latisha Besariani Hendra +2
Unsustainable behaviors are challenging to prevent due to their long-term, often unclear consequences. Games offer a promising solution by creating artificial environments where pl…
Frontend Diffusion: Exploring Intent-Based User Interfaces through Abstract-to-Detailed Task Transitions
Qinshi Zhang, Latisha Besariani Hendra, Mohan Chi +1
The emergence of Generative AI is catalyzing a paradigm shift in user interfaces from command-based to intent-based outcome specification. In this paper, we explore abstract-to-det…
Towards Intent-based User Interfaces: Charting the Design Space of Intent-AI Interactions Across Task Types
Zijian Ding
Technological advances continue to redefine the dynamics of human-machine interactions, particularly in task execution. This proposal responds to the advancements in Generative AI…