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Design of a Web Application Prototype to Determine if a Person Has the Necessary Cognitive Skills for Driving Andrea G. Plascencia-Rodríguez, Huizilopoztli Luna-García, Roberto Solís-Robles, Hamurabi Gamboa-Rosales, Wilson J. Sarmiento |
1-10 |
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Analysis of Polyphonic Interanimation in Novels, a Support for Understanding Beyond ChatGPT Answers Ştefan Trăuşan-Matu, Alexandru Hossu |
11-24 |
1 Laboratorio de Tecnologías Interactivas y Experiencia de Usuario (LITUX), Universidad Autónoma de Zacatecas
Jardín Juárez 147, Centro Histórico, 98000, Zacatecas, México
2 Grupo de Investigación en Multimedia (GIM), Universidad Militar de Nueva Granada
Cra 11, 101-80, Bogotá, Colombia
Abstract. Mild Cognitive Impairment is characterized by a slight cognitive decline that minimally affects daily activities, potentially impacting the ability to drive, as driving involves cognitive skills. KSCAr+Drive, a specific tool, rapidly evaluates individuals with suspected neurocognitive impairment. Comprising various tests, it covers a wide range of cognitive abilities. This article prioritizes User-Centered Design as an essential element for the design, implementing the phases outlined in ISO 9241-210:2019 to develop a web application prototype aimed at determining a person’s cognitive suitability for driving.
Keywords: Web Application Prototype, User-Centered Design, Cognitive Skills, Mild Cognitive Impairment.
Cite this paper as:
Plascencia-Rodríguez, A. G., Luna-García, H., Solís-Robles, R., Gamboa-Rosales, H., Sarmiento, W. J. Design of a Web Application Prototype to Determine if a Person Has the Necessary Cognitive Skills for Driving.
International Journal of User-System Interaction 16(1),
1-10, 2023.
1 University Politehnica of Bucharest
313 Splaiul Independentei, Bucharest, Romania
2 Institutul de Cercetări în Inteligenţa Artificială
Calea 13 Septembrie nr. 13, Bucureşti
3 Academy of Romanian Scientists
Splaiul Indpendentei 54, Bucharest, Romania
4 Tudor Vianu National College of Computer Science
Ion Mincu 10, Bucharest, Romania
Abstract. This paper argues that, even if generative artificial intelligence, for example, ChatGPT, proved astonishing capabilities in generating texts, including scholarly-level answers at users’ prompts, it is not sufficient for replacing the need for reading and analysing at least some parts of the texts of novels. However, artificial intelligence can assist a reader or researcher in re-reading or reflecting about fragments in a complex novel. The paper presents the polyphonic perspective introduced by Mikhail Bakhtin, the polyphonic model and analysis method introduced by Stefan Trausan-Matu and a natural language processing-based method for supporting the analysis. For exemplification of the method, it is presented the assisted identification and an analysis of the most relevant polyphonic fragment in the novel “The Brothers Karamazov”, written by Fyodor Dostoevsky.
Keywords: polyphony; interanimation; natural language processing; generative artificial intelligence; ChatGPT; polyphonic model
Cite this paper as:
Trăuşan-Matu, S., Hossu, A. Analysis of Polyphonic Interanimation in Novels, a Support for Understanding Beyond ChatGPT Answers.
International Journal of User-System Interaction 16(1),
11-24, 2023.