arXiv subjects

Ariton Verush

Publications and source records attributed to Ariton Verush.

4 recordsLinked to original sources

arXiv2026

Balanced Workforce: Governance-by-Design for Privacy-Preserving Inter-Firm Workforce Leasing

Workforce demand is uneven across organizations. Project-based companies may simultaneously face skill shortages in one unit while other firms hold underutilized employees with relevant expertise. Conventional hiring, contracting, and temporary agency models address parts of this problem, but they also create legal, ethical, organizational, and data-governance risks. This paper reframes a seminar project called Balanced Workforce into a governance-by-design framework for privacy-preserving inter-firm workforce leasing. The proposed Balanced Workforce Leasing Service (BWLS) enables companies to list temporary talent availability, discover anonymized skill profiles, negotiate assignments, and document agreements through locally deployed connectors and a minimal central coordination layer. The framework combines socio-technical governance, enterprise architecture, business model design, e3value-based value exchange modeling, and privacy-by-design principles. The paper presents the system concept, stakeholder model, process phases, architecture, business model, value network, and legal, ethical, and operational risk analysis. It argues that workforce leasing platforms should not be designed only as marketplaces. They require consent mechanisms, traceability, role-based access control, data minimization, contractual safeguards, dispute handling, and institutional accountability. The contribution is a structured framework and design artifact for future research on governed digital labor infrastructures. The paper does not claim deployment results or empirical validation; instead, it provides a design framework that can be evaluated through expert review, stakeholder workshops, prototype testing, and regulatory analysis.

cs.SE↗

arXiv2026

Security and Human-Centered Assessment of BACnet-Controlled DALI Infrastructure in an Educational Building Automation Testbed

Building automation and control systems integrate heating, ventilation, air conditioning, lighting, sensing, and management functions through specialized communication protocols. While this integration enables flexible building operation, it also creates complex cyber-physical environments that are difficult to inspect, secure, and explain to new analysts. This paper presents a practical security and human-centered case study of a BACnet/IP building automation testbed with DALI lighting infrastructure, investigated during a domotics-oriented cybersecurity hackathon in Thun, Switzerland in April 2026. The study combines network-oriented enumeration, object-level inspection, physical rack analysis, and reflective HCI analysis of tool-supported learning. Using Yabe and BACteria, the work documents observable BACnet services, reconstructs structured object hierarchies, identifies room-level lighting-control paths, and maps BACnet objects to DALI group-level infrastructure. The analysis emphasizes that BACS assessment is not only a technical protocol task: it also requires usable tool interfaces, physical observability, interpretable naming conventions, and safe mental models for command priorities. The paper contributes a compact case study of BACnet/DALI exploration in an educational testbed and discusses implications for cybersecurity education, human-centered security tooling, and responsible experimentation in cyber-physical building environments.

cs.CR↗

arXiv2026

A Fuzzy Logic Framework for Community-Aware Crime Hotspot Detection: Prototype Application Architecture and Exploratory Validation for an Urban Computing Platform

Urban crime prevention is a persistent socio-technical challenge for municipalities, law enforcement agencies, and citizens. Traditional reporting and response processes often rely on delayed incident reports and reactive resource allocation, while community-level signals and ambiguous early-warning indicators may remain underused. This paper reframes an Urban Computing seminar project into a fuzzy logic-based framework for community-aware urban crime hotspot detection and real-time notification. The proposed platform combines citizen reports, historical crime data, contextual urban indicators, and configurable fuzzy rules to estimate localized risk levels and support targeted awareness notifications. Unlike binary classification approaches, fuzzy logic can represent partial risk, uncertainty, and incomplete information, making it suitable for urban environments where risk is gradual and context-dependent. The paper presents the system architecture, fuzzy risk model, notification workflow, privacy safeguards, and exploratory validation with 25 participants. The evaluation focuses on perceived usefulness, notification relevance, usability, trust, privacy concerns, multilingual accessibility, and acceptance of community reporting. The findings suggest that such a platform may improve situational awareness, support reporting and planning discussions, and help address weak points in existing urban safety workflows, while not yet constituting evidence of deployed crime reduction or real-world predictive accuracy. The contribution is a responsible, human-centered framework for future research on fuzzy logic, urban computing, and community-aware crime prevention systems.

cs.CY↗

arXiv2026

A Benchmarking Framework for Multimodal User Interface Toolkits: Comparing Modality Coverage, Developer Workflow, and Experimental Support

Multimodal user interfaces increasingly combine speech, gesture, vision, gaze, touch, biosignals, and other sensor data. Recent toolkits from the past five years, such as Geno, Multisensor-Pipeline (MSP), ReactGenie, and EmoSync, aim to make it easier for developers to prototype such interfaces, while older work such as WAMI shows how early web-based multimodal systems were conceived. Yet the field still lacks a systematic and reusable way to compare what these toolkits actually support, how much implementation work they offload from developers, and which evaluation strategies are appropriate for them. This paper reframes an HCI seminar draft into a benchmarking framework paper for multimodal user interface toolkits. Rather than reporting completed empirical results, it proposes a structured benchmark based on document analysis, technical comparison, and a future developer-based evaluation. The framework is organized around three dimensions: modality coverage and interaction abstraction, developer experience and workflow, and experimental and integration support. The paper illustrates the framework through five representative toolkits: Geno, MSP, ReactGenie, WAMI, and EmoSync. The contribution is a reusable benchmark template that future researchers can instantiate with empirical measurements, developer studies, and additional multimodal toolkits.

cs.HC↗