Supplemental Material for Where Will They Click Next? A Social Foraging Model for Collaborating Teams
Abstract
Research Data for: Where Will They Click Next? A Social Foraging Model for Collaborating Teams Description This dataset contains the supplementary materials for the CHI 2026 paper, "Where Will They Click Next? A Social Foraging Model for Collaborating Teams." The archive provides the necessary components to replicate and extend our study on the PFIS-T algorithm, a social foraging model designed for collaborating teams. The materials include: Source Code: Python implementations of the PFIS-T model, the evaluation pipeline, and visualization scripts for parameter sensitivity. Anonymized Study Data: Raw and processed communication logs, as well as participant-level navigation data from debugging tasks. Experimental Protocols: Materials used in the study design, including the Java parsing keyword lists and debugging task scenarios. These materials are intended to support researchers in evaluating the methodology and adapting the PFIS-T framework for future studies in collaborative software engineering and Information Foraging Theory (IFT).
Fields of Study & Subjects
Information Retrieval and Search Behavior
Usability and User Interface Design
Software Engineering Research
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 February 2026