Page 159 - tech fest 2025 ב״ש חוברת תקצירים

Book of Abstracts | 2025 Usability Testing of a Co-Designed Data Management Application for Care Robots
SE-A-01
Shay Lavi; shayla@ac.sce.ac.il Yuval Turgeman; yuvaltu@ac.sce.ac.il
Advisors: Dr. Hadas Chassidim1, Dr. Ittay Mannheim2 1SCE - Shamoon College of Engineering, Be’er-Sheva 2Ben-Gurion University of the Negev
As the aging population increases, there is growing demand for technologies that support older adults’ independence. However, designing user-friendly software for this population, especially in socially assistive robots (SARs), remains a challenge due to limited research. This project aims to explore how improved navigation and personalized privacy settings can increase trust, usability, and adoption. It proposes a participatory design approach enabling older users to adjust privacy preferences. Three interface types were designed and examined: a basic interface, a guided wizard model, and a breadcrumb navigation. Current SAR interfaces often rely on rigid, non-intuitive privacy models that may reduce adoption. Planned usability testing will assess task completion, navigation clarity, and user satisfaction to evaluate the effectiveness of each design in enhancing user experience.
Keywords: aging population, human-computer interaction, privacy, socially assistive robots, usability
Data Structures and Algorithms Simulator
SE-A-02
Noam Bar; noamba2@ac.sce.ac.il
Advisors: Dr. Irina Rabaev1, Dr. Hadas Chassidim1 1SCE - Shamoon College of Engineering, Be’er-Sheva
Understanding data structures and algorithms is essential for computer science students, yet mastering these concepts often presents significant challenges. This project enhances Visualization Zone of Understanding (VZOU), an educational platform designed to improve comprehension and engagement through personalized learning paths, dynamic visualizations, and gamification. The system integrates adaptive learning mechanisms and leverages Bloom’s taxonomy to structure progression. A controlled study involving 45 students evaluated 3 system versions. The personalized version resulted in significantly higher test scores, accompanied by increased cognitive load. No statistically significant differences were found in usability (SUS) or task completion time across groups.
Keywords: adaptive learning, algorithms, data structures, gamification, visualization
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