preprint2026
One Feedback System Does Not Fit All: Localising Data-to-Text Driver Coaching for the United Kingdom and Nigeria
Iniakpokeikiye Peter Thompson, Jawwad Baig, Ehud Reiter, Dewei Yi
International Natural Language Generation (INLG) 2026 conference
Data-to-text driver coaching is often presented as a generic pipeline from telematics events to advice. This paper argues that its content requires localisation because usefulness and credibility depend on drivers' knowledge, prevalent risks, regulation, infrastructure, and available data. Two independently developed systems in the United Kingdom and Nigeria are compared by tracing requirements through content selection, generation, and field evaluation. The UK system prioritises post-trip reflection, explanations tied to road and place context, and tone-sensitive wording. The Nigerian system combines legally grounded, once-daily Tips based on detected events with weekly persuasive Reports; it foregrounds safety education and alcohol-related risk in response to reported gaps in formal training and traffic-rule knowledge, as well as local road-safety priorities. Reliable speed-limit metadata supported speeding feedback in the UK, whereas its scarcity led the Nigerian evaluation to exclude speeding from its outcome metric. Both interventions were associated with reduced distance-normalised unsafe-event rates in their own field studies, although their designs and metrics preclude an effect-size comparison. The analysis yields a requirements-to-content design process for localising safety-critical NLG without treating a high-income deployment as the default.
Journal-article2026
Development of an Online Integrated Decision Support Recruitment System for Niger Delta Development Commission NDDC
Jimoh Yusuf Omogbera
(Department of Computer Science, Edo State University Iyamho)
Taibat Onome Asunogie
(Department of Computer Science, Edo State University Iyamho)
Iniakpokeikiye Peter Thompson
(Department of Computer Science, Niger Delta University)
International Journal of Research and Scientific Innovation (IJRSI)
Recruitment and personnel selection are critical functions in public sector organizations because workforce quality directly influences institutional performance and service delivery. However, many government agencies in developing countries continue to rely on manual or semi-automated recruitment processes characterized by inefficiency, data redundancy, poor record management, and limited decision support capabilities. These challenges often result in delayed recruitment decisions, increased administrative workload, and difficulties in identifying qualified candidates. This paper presents the design and implementation of an Online Integrated Decision Support Recruitment System for the Niger Delta Development Commission (NDDC). The system was developed using the Structured Systems Analysis and Design Methodology (SSADM), which guided requirements analysis, system design, implementation, and testing. The proposed solution integrates applicant registration, vacancy management, application processing, candidate evaluation, decision support functions, and centralized information management within a web-based platform. The system was implemented using PHP, MySQL, HTML, CSS, JavaScript, and the XAMPP development environment. Evaluation results indicate that the developed system improved information accessibility, application processing efficiency, candidate assessment, and administrative control compared with the existing manual approach. By integrating recruitment management and decision support functionalities into a unified platform, the system enhances transparency, operational efficiency, and consistency in personnel selection. The study demonstrates the practical value of web-based recruitment technologies in modernizing workforce acquisition processes and supports the adoption of integrated information systems for effective human resource management in public sector institutions.
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