Research

WORKING PAPERS

Miao, Y., He, Q., Saffarizadeh, K., & Kim, S. “When Should AI Challenge Us? Designing AI Feedback to Break the AI Echo Chamber in Human-AI Creative Collaboration,” In preparation for a 2nd round review
Miao, Y., He, Q., Kim, S., & Saffarizadeh, K. “Creative Gains, Reputational Strains: Generative AI Elevates Style and Aesthetic Quality but Triggers Spillovers on Non-AI Artworks,” In preparation for a 2nd round review
Wang, P., Zefeng, B., Saffarizadeh, K., & Wang, C. “The Impact of App Updates on Usage Frequency and Duration,” Under 3rd round review
Arnold, C., Zhiming, X., Saffarizadeh, K., & Madiraju, P. “Generative AI as (Un)welcome Agents in Medical Crowdfunding: The Trust Dilemma and Moral Hazard,” Under 3rd round review

JOURNAL PUBLICATIONS

Saffarizadeh, K., & Keil, M. (Forthcoming). Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust. Information Systems Journal

Open Article

Alashoor, T., Keil, M., Jiang, Z., & Saffarizadeh, K. (2025). Privacy Concerns and Data Donations: Do Societal Benefits Matter?. MIS Quarterly, 49(2), 429-464.

Open Article

Saffarizadeh, K., Keil, M., & Maruping, L. (2024). Relationship Between Trust in the AI Creator and Trust in AI Systems: The Crucial Role of AI Alignment and Steerability. Journal of Management Information Systems, 41(3), 645–681.

Open Article

Saffarizadeh, K., Keil, M., Boodraj, M., & Alashoor, T. (2024). “My Name is Alexa. What’s Your Name?” The Impact of Reciprocal Self-Disclosure on Post-Interaction Trust in Conversational Agents. Journal of the Association for Information Systems, 25(3), 528-568.

Open Article

Amanda Project

Amanda is a custom-designed conversational assistant that I developed to explore human-AI interaction. The project includes several studies, each focusing on a specific aspect of this interaction. Amanda comprises an Android app paired with a backend administration website. This website not only remotely controls the app but also integrates machine learning and artificial intelligence capabilities to enhance the app’s functionality.

HelpAIGrow Android App

Description: HelpAIGrow is a conversational assistant designed to help researchers study human-AI interaction. The app is available on Google Play Store.
Language: Java
Licence: GPLv3
Source Code: https://github.com/saffarizadeh/HelpAIGrow

HelpAIGrow Researcher Dashboard

Description: HelpAIGrow Researcher Dashboard is a server-side software that communicates with HelpAIGrow app. The dashboard enables the researchers to create and customize several types of experiments for the app.
Language: Python
Licence: GPLv3
Source Code: https://github.com/saffarizadeh/HelpAIGrowDashboard