Dear fellow researchers,
The 60th Hawaii International Conference on System Sciences (HICSS) invites submissions of full research papers in various areas of information, computer and systems sciences. Paper submission deadline is June 15.
The AI-Augmented Collaborative Research on Human Behavior Minitrack (as part of the Collaboration Systems and Technologies Track) focuses on how AI can accelerate, democratize, and reshape the collaborative study of human behavior. Topics of interest include:
1. AI-Simulated Participants, Personas, and Cognitive Process Simulation
- Using LLMs and generative agents as synthetic participants to pilot surveys, experiments, and behavioral tasks, and the validity and boundary conditions of such approaches
- Design and study of AI personas and characters: how synthetic identities with defined psychological profiles, cultural backgrounds, and behavioral traits can serve as proxies for diverse human populations in experimental settings
- Agent-based simulations of decision-making, reasoning, bias, trust, and social interaction using AI-driven cognitive architectures, including the modeling of economic behavior, strategic interaction, and emotional and cultural dimensions of behavior
2. LLMs as a Judge or Evaluator of Text-Based Responses
- Assessing the accuracy, quality, effectiveness, or consistency of LLMs when analyzing text, including comparisons to human raters
- Understanding how the quality of judgements or evaluations are affected by prompts, system prompts, or other systematic changes to the request
- Conducting analyses on the consistency, reliability, or validity of LLMs when judging or evaluating text
3. Collaborative, Reproducible, and AI-Augmented Research Workflows
- AI tools that enable researchers to share, replicate, and extend experimental paradigms across teams and institutions, lowering the cost of replication by reconstructing and re-running prior experimental designs
- AI-assisted hypothesis generation, literature synthesis, experimental design, and data analysis platforms, frameworks, and case studies demonstrating how multidisciplinary teams use AI to study human behavior at new scales and in novel ways
4. Validity, Ethics, and Epistemology of AI in Behavioral Research
- Epistemological status of AI-generated behavioral data: What counts as evidence about human behavior when derived from synthetic participants or AI personas?
- Ethical considerations in supplementing or replacing human participants with AI simulations, including risks of bias propagation, cultural blind spots, and over-reliance on AI-simulated cognition
- Governance frameworks and reporting standards for AI involvement in behavioral research
Full paper submissions are due by June 15, 11:59pm HST. Author instructions can be accessed here.
Useful Links:
Conference Home Page: https://hicss.hawaii.edu/
Author Instructions: https://hicss.hawaii.edu/authors/
Tracks & Minitracks: Tracks and Minitracks | HICSS
If you have any question, please feel free to reach out to me via email: mazarm@usfca.edu
------------------------------
Mana Azarm
Assistant Professor
University of San Francisco
San Francisco CA
------------------------------