This repository hosts the materials and code associated with the research project "Visualization-Enhanced Aggregated Search Interfaces", as presented at ACM SIGIR Conference on Human Information Interaction And Retrieval CHIIR 2024 and published in the ACM Digital Library.
Search interfaces serve as the primary gateway to information retrieval (IR) platforms, with each IR platform possessing its unique interface. Yet, the challenge remains in delivering diverse content effectively to users, particularly when dealing with unfamiliar sources or content. Instead of platforms presenting search results from different sources in individual tabs for distinct sources, which can lead to user confusion and over-reliance on certain tabs, this paper investigates an approach to aggregate search results into a single, unified display, providing users with a consolidated list. Our research emphasizes novel presentation methodologies that combine insights from previous studies with advanced visualization techniques. The aim is to offer an intuitive and streamlined search experience for all users. Key research questions address: the design of interfaces to blend aggregated results while visually indicating their provenance; the advantages of such interfaces; the impact of search result diversity on perceived trustworthiness; and the applicability of the approach in structured data domains, specifically digital humanities archives and digital academic libraries. Our structured, iterative research methodology encompasses a three-phased approach: starting with low-fidelity prototyping, moving to medium-fidelity design iteration, and currently working towards functional prototype development. An upcoming controlled laboratory study, complemented by data collection tools like LogUI and eye-tracking, aims to gain a comprehensive understanding of user interaction and attention patterns and evaluate the proposed designs, providing insights into their effectiveness and the implications of visual result provenance.
The research paper is published in the ACM Digital Library. You can access it via this link.
The presentation associated with this research is available on Canva. View the presentation here.
This repository is organized as follows:
docs/: Documentation related to the project, including setup guides and usage instructions.presentation/: Contains presentation materials, including slides and speaking notes.
If you use the materials or findings from this research in your work, please cite it as follows:
Milad Momeni. 2024. Visualization-Enhanced Aggregated Search Interfaces. In Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR '24). Association for Computing Machinery, New York, NY, USA, 461–464. https://doi.org/10.1145/3627508.3638336
We welcome contributions to this project! Please read CONTRIBUTING.md for guidelines on how to contribute.
This project is licensed under the MIT License - see the LICENSE file for details.
- Thanks to the University of Regina.