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Month: September 2024

Concerns of Complexity as a Competitive Factor in CHI Conference

CHI research has become more complex (but not more insightful). The reason? Complexity is a competitive factor: it helps separate your paper from others. Lengthy papers with more substudies and details are more likely to do better than short but insightful work that might have more relevance for HCI theory and/or practice. Reviewers are instructed to pay attention to HCI…

Design Ideas for MMM SaaS Platforms

Some ideas on directions toward which Marketing Mix Modeling Software-as-a-Service Platforms should be developed: So, an MMM SaaS tool should not only observe but it should actively suggest and, if suggested policy is accepted by the human manager, implement it in the ad platforms! I think this step from observations to interventions is necessary to unleash the potential of MMM.

The Cross-Sectionality Problem in Machine Learning Benchmarking Datasets

(Written with Claude-3.5-Sonnet. I have checked and edited the content. -Joni) Summary of the Issue The holdout paradigm, commonly implemented as a train-test split, is a fundamental technique in machine learning for assessing model performance. However, when applied to cross-sectional data, it can lead to significant challenges in terms of model generalizability. Cross-sectional data, by its nature, provides a snapshot…

The Agency Theory of Chat-Based AI Personas: Insights from Economics

Written in collaboration with Claude-3.5.-Sonnet. All information checked by human author. Background Because of the utility and value of large language models (LLMs) in tasks supporting persona creation and users’ interaction with personas, chat-based AI personas are becoming increasingly prevalent. However, these personas present unique challenges that can be understood through the lens of agency theory (also known as the…