Itzamna: A multimodal artificial intelligence platform for comprehensive transversal skills assessment

IF 2.4 4区 计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Jared D.T. Guerrero-Sosa , Francisco P. Romero , Víctor Hugo Menéndez-Domínguez , Jesus Serrano-Guerrero , Andres Montoro-Montarroso , Jose A. Olivas
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引用次数: 0

Abstract

Transversal skills, such as decision-making, leadership, and creativity, are relevant in areas like education and recruitment. Traditional skill assessments often lack scalability and objectivity. This paper introduces a novel software tool for assessing transversal skills through multimodal video analysis using artificial intelligence. The tool extracts textual, audio, and visual cues to evaluate skills comprehensively. Fuzzy logic transforms quantitative data into meaningful linguistic labels for interpretability. The software includes a RESTful API with endpoints for video scoring and rule customisation, alongside user interfaces for uploading videos, receiving feedback, and defining rules. Results are provided in interpretable reports, offering a scalable solution for objective assessment.
Itzamna:用于综合横向技能评估的多模式人工智能平台
横向技能,如决策、领导和创造力,在教育和招聘等领域都是相关的。传统的技能评估通常缺乏可伸缩性和客观性。本文介绍了一种利用人工智能技术通过多模态视频分析来评估横向技能的新型软件工具。该工具提取文本、音频和视觉线索来全面评估技能。模糊逻辑将定量数据转换为有意义的语言标签,以实现可解释性。该软件包括一个RESTful API,带有用于视频评分和规则定制的端点,以及用于上传视频、接收反馈和定义规则的用户界面。结果在可解释的报告中提供,为客观评估提供可扩展的解决方案。
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来源期刊
SoftwareX
SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-
CiteScore
5.50
自引率
2.90%
发文量
184
审稿时长
9 weeks
期刊介绍: SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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