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Beyond Generation - Advanced AI Techniques for Stimuli Design, Conducting Interviews, and Generating Systhetic Data for Research
Date: Thursday, July 17th 2025
The upcoming workshop, Beyond Generation: Advanced AI Techniques for Stimuli Design, Personalization, and Interaction, is held as part of Big Data & AI (BDA 2025). BDA 2025 offers a premier platform for researchers, academics, and industry professionals to showcase their latest findings, share practical experiences, and discuss emerging trends in the fields of big data and AI.
The upcoming workshop, Beyond Generation: Advanced AI Techniques for Stimuli Design, Personalization, and Interaction, is held as part of Big Data & AI (BDA 2025). BDA 2025 offers a premier platform for researchers, academics, and industry professionals to showcase their latest findings, share practical experiences, and discuss emerging trends in the fields of big data and AI.
As AI continues to reshape the landscape of research and design, this workshop moves beyond basic prompt-based generation to explore advanced AI-driven techniques for personalization, interaction, and experimental innovation. "Beyond Generation" is a hands-on workshop series inviting researchers, educators, and practitioners to go beyond basic generative AI and tap into the next frontier: advanced AI-driven personalization, interaction design, and experimental methodologies.
As AI continues to reshape the landscape of research and design, this workshop moves beyond basic prompt-based generation to explore advanced AI-driven techniques for personalization, interaction, and experimental innovation. "Beyond Generation" is a hands-on workshop series inviting researchers, educators, and practitioners to go beyond basic generative AI and tap into the next frontier: advanced AI-driven personalization, interaction design, and experimental methodologies.
Join us as we explore AI tools and techniques that move beyond simple text prompts, empowering you to build dynamic, future-ready research assets and experimental environments.
Join us as we explore AI tools and techniques that move beyond simple text prompts, empowering you to build dynamic, future-ready research assets and experimental environments.
Workshop Schedule
Workshop Schedule
Session 1:
1. Text Stimuli Generation Using LLMs (20 min)
2. Building Interactive Stimuli (Websites & Apps) with GenAI (50 min)
3. Evaluation and Human Validation of AI Stimuli (20 min)
Session 2:
1. Structured Interviews through GenAI (30 min)
2. Synthetic Data Generation 30 min)
3. Demo and Hands-on Exercise: Generate, analyse, visualise and explore synthetic dataset (30 min)
Prerequisites
Background in psychology, neuroscience, cognitive science, computer science, marketing, or HCI
Basic familiarity with behavioural research methods.
An introductory understanding of AI or machine learning concepts
GPT-4 through ChatGPT (Pro) or via the API, optionally with a Python coding environment (like Jupyter or Google Colab)
Basic Python programming
This workshop is an exciting part of BDA 2025, a premier international conference focused on breakthroughs and best practices in big data and AI. Don’t miss this opportunity to engage with leading researchers and innovators at the forefront of AI-enhanced research methodologies!
For any inquiries, please contact: bda.gai.workshop@gmail.com
Session 1 - Personalizing and designing AI-driven stimuli
Session 1 - Personalizing and designing AI-driven stimuli
This session introduces participants to advanced techniques for using AI to design and personalize experimental stimuli beyond basic generation. Through live demos and guided experimentation, attendees will learn to edit and personalize visual content with precision, and design immersive and interactive virtual environments tailored to behavioral research. Participants will gain hands-on experience with tools that enable highly controlled and replicable manipulation of stimuli for experimental purposes.
Session 2 - Integrating AI agents and synthetic data into research
Session 2 - Integrating AI agents and synthetic data into research
Building on the foundation of the first session, this slot focuses on incorporating intelligent agents and synthetic data into research workflows. Participants will construct and evaluate an AI-driven interviewer aligned with specific research goals and use synthetic data to simulate and test complex behavioral hypotheses. Collaborative breakout activities will support technical skill-building and ideation. Attendees will leave with AI tools, templates, and practical knowledge for future experimentation.
Who Should Attend?
Who Should Attend?
This workshop is designed for:
This workshop is designed for:
Behavioral scientists and psychologists are integrating AI into experimental research
Human-computer interaction (HCI) researchers are pushing the boundaries of interactive study design
Educators seeking to innovate in AI-based teaching and learning environments
Industry practitioners applying behavioral insights and AI personalization in product development
Whether you are an academic, a professional researcher, or a creative technologist, if you are looking to move beyond basic prompt-based generation and unlock AI's deeper potential in research design, this workshop is for you.
The Organizers
The Organizers
Dr. Harshit Kumar Singh
Dr. Harshit Kumar Singh
Dr. Harshit Kumar Singh is an Assistant Professor in Management Information Systems at XLRI – Xavier School of Management, Jamshedpur. He earned his Ph.D. from IIM Ahmedabad, focusing on communication technologies and their impact on organizations. Prior to XLRI, he taught at IIM Rohtak and IIM Kashipur and has industry experience in software development and systems architecture. His interdisciplinary research spans Digital Transformation, Workplace Innovation, and Intelligent Work Design, with published work on hybrid work models, gamification, and ICT engagement. Dr. Singh is also active in Executive Education, having led over 40 programs on topics like design thinking, data analytics, digital strategies, and the ethics of information systems, contributing significantly to the future of digital work and organizational innovation.
Dr. Vedant Dev
Dr. Vedant Dev
Dr. Vedant Dev is an Assistant Professor in the Management & Organizations area at Ahmedabad University. He holds a Ph.D. from the Indian Institute of Management Ahmedabad and an MBA from XLRI Jamshedpur. Dr. Dev has industry experience in the human resource consulting and information technology sectors. He has provided consulting to some of the leading organizations like Pepsico, L’oreal, Indigo, and Perfetti van Melle. His doctoral research was on the incentive effects of pay-for-performance programs in business organizations. He has interdisciplinary research interests spanning the areas of organizational behaviour and human resource management, and information systems. His current areas of research are human-AI interaction, work design for AI augmentation, and gamification in organizations.
BDA 2025
BDA 2025
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