The AI System Design and Interaction track examines how artificial intelligence is reshaping the ways organizations and individuals develop, deploy, and engage with intelligent technologies. With advances in generative AI, multimodal interaction, and data-driven decision-making, this track emphasizes two complementary dimensions. The first is AI system design, which addresses how intelligent systems are conceived, governed, and embedded into organizational and societal contexts. The second is AI system interaction, which considers how humans experience, collaborate with, and adapt to these technologies. We encourage research that addresses critical issues such as transparency, explainability, governance, trust, human–AI collaboration, and the co-evolution of socio-technical systems. Contributions may span multiple levels of analysis, from individual and team interactions with AI, to organizational adoption and policy-level considerations. The track welcomes interdisciplinary perspectives from information systems, computer science, psychology, sociology, behavioral science, management, and policy studies. We also embrace a broad range of methodologies, including design science, behavioral experiments, case studies, archival analyses, computational modeling, and field research. By fostering dialogue across disciplines and approaches, this track seeks to generate insights into how AI systems can be designed and interacted with responsibly, effectively, and sustainability.

Track Co-Chairs:
Yue Guo, Southern University of Science and Technology, guoy@sustech.edu.cn
Hong Guo, Arizona State University, hguo@asu.edu

Schedule
2026
Saturday, August 15th
12:00 AM

A Lifecycle-Integrated Moral Architecture for Responsible AI Design: The Case of Fitrah as Moral Orientation

Gohar Khan, College of Technological Innovation, Zayed University
Nadia Faisal, Federation University
Muhammad Imran Taj, Zayed University

12:00 AM

AI-Era Software Developer Productivity and Performance Metrics

Elaine Luo, Saratoga High School
Hong Guo, Arizona State University

12:00 AM

Anthropomorphizing Generative AI: is Memory All You Need?

Giovanni Gatti, Università Cattolica del Sacro Cuore
Marco Marabelli, Bentley University

12:00 AM

AnxietySense: Multi-Modal Information System for Continuous Anxiety Monitoring

Zi Wang, Augusta University
Jiyue Zhao, The University of Georgia
Linghan Zhang, Eindhoven University of Technology
Shiwei Fang, Augusta University
Lin Li, Augusta University

12:00 AM

Beyond OCR: Leveraging Vision-Language Models for Semi-Structured Business Documents

Bongjin Sohn, Korea University Business School
Gunwoong Lee, Korea University Business School

12:00 AM

Beyond Overt Harm: Benchmarking LLM Resistance to Moral Neutralization Requests

Aaron Miller, Brigham Young University
Tom Meservy, Brigham Young University
David Hart, Brigham Young University

12:00 AM

Cat-and-Mouse in the Gallery: Mandatory AI Disclosure, Detection, and Opportunistic Behavior on an Online Art Platform

Tianwen Du, University of Georgia
Ling Xue, University of Georgia
Xuan Liu, Nanjing University
Peijian Song, Nanjing University

12:00 AM

Curiosity-Driven Design and Continuance Intention in AI Chatbots

Kalee Crandall, Utah Valley University
Kodey Crandall, Utah Valley University
Matt North, Utah Valley University

12:00 AM

Deploying Agentic LLM Pipelines at Scale: Quality-Gated Ensemble Governance for Enterprise News Intelligence

kyongmook lim, CJ
Muryul Choi, Ulsan National Institute of Science and Technology(UNIST)
Jeong Su Han, CJ
ChiHoon Lee, CJ

12:00 AM

Embodied Integration in IS Design

Sisira Adikari, University of Canberra
Hamed Sarbazhosseini, School of Information Technology and Systems
Nick Villiers, University of Canberra

12:00 AM

Evaluating Individual Adherence to AI Health Recommendations

Sogol Mozafari, University of Nevada, Reno
Alan T. Yang, University of Nevada Reno
Kambiz Saffarizadeh, University of Texas at Arlington

12:00 AM

Exploration-Exploitation for Reject Inference: A Quantum-Ready Optimization Policy for Credit Decision Systems

Wenwen Ding, University of Arkansas
Tracy Ann Sykes, University of Arkansas

12:00 AM

From Confidence to Checking: How Interfaces Shape Appropriate Reliance on Clinical AI

Dorsa Farahmandazad, Florida Atlantic University
Chul Woo Yoo, Florida Atlantic University

12:00 AM

Iterative Prompt Optimization: A Socio-Technical Framework for Human–AI Alignment in Generative AI

Yi Liu, University of North Carolina Wilmington
Wendy Wang, University of South Alabama

12:00 AM

Mind Your Tone: Does Tone Alter LLM Performance?

Om S. Dobariya, Penn State University
Akhil Kumar, Penn State University

12:00 AM

Seamless or Deceptive? Optimizing Dynamic Revenue and User Experience in AI-Embedded Advertising

Zhe JING, The Hong Kong Polytechnic University
Lingkun Meng, The University of Hong Kong

12:00 AM

Specification Format Effects When the Developer Changes from Human to AI

Shawn Ogunseye, Bentley University

12:00 AM

The Relational Roots of Algorithmic Forgiveness: How Reflective Skepticism and Self–AI Connection Shape Responses to AI Bias

Sandip Kumar Sarkar, St. Louis University
Samia Cornelius Bhatti, Oklahoma State University

12:00 AM

Towards Trustworthy AI: A Unified Framework for LLM Hallucination Detection and Mitigation via System Reliability Theory

Dongqing Lin, San Diego State University
Luwen Huangfu, San Diego State University
Donglin Liu, UC Irvine
Sheng Huang, Chongqing University
Wei Zhou, Chongqing University

12:00 AM

When Humans Stop Thinking: Cognitive Offloading, Atrophy Risk, and the Design of Human-AI Intelligence

Pravinya Mandalapu, Kennesaw State University
Adriane B. Randolph, Kennesaw State University
Andrea Taylor, Kennesaw State University

12:00 AM

Who Leads the Dance? Individual Perceptions of Order in Human-AI Collaboration

Bin Ling, Hohai University
Chengwei Shao, Hohai University
Fei Cai, Hohai University

12:00 AM