cs papers | Gist.Science

The Game Changer: The Role of Persuasive Socially Assistive Robots in the Sustained Engagement and Motivation of Older Adults in a Cognitive Activity

This paper presents a month-long longitudinal study demonstrating that while both persuasive and instructional robot behaviors sustain older adults' engagement in cognitive activities, a persuasive interaction style is more effective at fostering positive responses and emotional connection, suggesting that a hybrid approach may best support long-term motivation.

Cristina Getson, Goldie Nejat2026-07-27

📄 other

Construction Method of Cyberspace Coordinate System Model Based on Topological Structure

This paper proposes a Cyberspace Topological Coordinate System (CTCS) model and a corresponding 3D framework that utilize logical, informational, and social relationships to effectively visualize and analyze complex network structures, outperforming traditional methods by integrating diverse data types and revealing node attributes and propagation paths.

kai qi, xiaofei hu, yang zhou, heng zhang, qingxiang li, shihao shi, shibo song2026-07-27

📄 other

Evaluating the human factor in cybersecurity threats (a Systematic Literature Review)

This systematic literature review synthesizes research from 2010 to 2026 to demonstrate that cybersecurity incidents stem from the complex interplay of cognitive, social, and organizational factors rather than isolated user errors, ultimately proposing an integrative human-centered framework to address these vulnerabilities.

Alaa Abuiteiwi, Santiago Escobar2026-07-27

📄 other

Contactless Interaction Systems: Empirical Implementation of Gesture Control in Digital Environments with OpenCV and PyAutoGUI

This paper presents a deep learning-based framework using TensorFlow and MediaPipe to enable real-time, contactless hand gesture recognition for diverse applications such as media control, gaming, and accessibility, offering an accurate and cost-effective alternative to traditional input devices.

Aditi Kambe, Rushali Deshmukh2026-07-27

📄 other

Synthetic Legal Data Generation for Saudi Family Law Courts Using Multi-Role Simulation

This paper proposes a multi-role simulation framework using Large Language Models and Human-in-the-Loop validation to generate a high-quality, expert-verified synthetic dataset of Saudi Family Law divorce cases, effectively overcoming the scarcity of real judicial records caused by privacy constraints.

Zarah Shibli, Areej Alhothali, Lulwah Alharigy2026-07-27

📄 other

Artificial Intelligence in Oral Squamous Cell Carcinoma Diagnosis: Exploring Deep Transfer Learning Strategies

This study demonstrates that deep transfer learning, particularly using the EfficientNetB7 and ResNet50 models optimized with data augmentation and cross-validation, achieves high-precision classification of oral squamous cell carcinoma histological images, offering a promising solution to improve diagnostic accuracy and address inter-pathologist variability.

Soussan Irani, Alireza Fallahi, Arash Dehghan, Seied Parsa Saleh, Hassan Khotanlou, Hamed Ghadimi2026-07-25

📄 other

Toward Understanding AI Adoption in the Global South: An Empirical Study of Creative Practitioners' Experiences in Iran

This empirical study examines the experiences of creative practitioners in Iran with Generative AI, revealing how geopolitical constraints and technical limitations shape their adoption through dominant director mental models, compensatory labor, and the emergence of bottom-up "Folk Ethics" to navigate systemic inequities.

Farzaneh Hosseinian, Iman Sheikhansari2026-07-25

📄 other

Hardening vibe-coded web applications with an automated security-audit skill: a controlled comparison of two builds of the same app

This paper demonstrates that integrating an automated security-audit skill into the "vibe coding" process drastically improves the security of AI-generated web applications, reducing unmitigated risk by 99% and eliminating all high-severity vulnerabilities in a controlled comparison of two builds of the same e-commerce demo.

Piyush Omanwar2026-07-25

📄 other

A Graph-Temporal Attention Network for Real-Time Intrusion Detection in Cyber-Physical Systems under Extreme Class Imbalance

This paper proposes GTAN, a Graph-Temporal Attention Network that combines Temporal Convolutional and Graph Attention encoders with a Focal Contrastive Loss to effectively detect rare intrusion attacks in highly imbalanced Cyber-Physical Systems traffic by modeling both temporal sequences and topological relationships.

Srinivasarao T, Leelavathy N2026-07-24

📄 other

Robust Fake Information Detection via Semantics-Preserving Adversarial Training and Uncertainty-Aware Adaptive Decision

This paper proposes SPAT-UAD, a robust fake information detection framework that integrates semantics-preserving adversarial training with uncertainty-aware adaptive decision-making to significantly outperform existing baselines in handling surface-level variations and improving model reliability across multiple datasets.

Ru Zhang2026-07-24

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