Augmented card system based on knowledge for medical emergency assistance

Ierache, Jorge Salvador; Mangiarua, Nahuel Adiel; Verdicchio, Nicolás Nazareno; Sanz, Diego Rubén; Montalvo, Cristian; Petrolo, Facundo; Igarza, Santiago

doi:10.1109/cacidi.2016.7785979

Cited by 5 publications

(1 citation statement)

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“…Considering that the results derived from the MIORA coding of facial expressions were mapped according to Ekman's FACS model, the authors' intervention was necessary to simplify the experiment's results and obtain a coherent emotional response. The present authors integrated Russell's proposal with Ekman's model, drawing on the contribution made by Ierache 50 . Before this, the authors conducted a factor analysis of the participant's responses to determine whether similar dimensions could be extracted in a single cluster.…”

Section: Participants N=23mentioning

confidence: 99%

User Experience on E-learning Platforms in Higher Education

Giraldi

Giovannetti

Cedrola

2023

Preprint

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Even though Covid-19 facilitated the move towards e-learning, research on the user experience (UX) of e-learning platforms has been limited, particularly regarding its cognitive and emotional outcomes. Considering this gap, this study proposes a non-invasive method for assessing emotional effects related to e-learning platforms. The study involved an experiment with 23 university students and compared the effectiveness of a real-time face and eye detection methodology (MIORA) with a retrospective questionnaire (SAM) in understanding the emotional responses elicited by the user-platform interaction. To examine the consistency between the two tools, the authors intentionally introduced usability issues in the system to observe students' emotional reactions. The study's results confirmed the research hypothesis that real-time non-invasive tools for assessing emotional reactions are more comprehensive and reliable than the SAM questionnaire. Furthermore, these tools enable dynamic adaptations to the site's usability and interface based on the student's emotional reactions, potentially improving satisfaction and learning outcomes. The findings inform future research on how emotional responses to e-learning platforms can impact user experience and learning outcomes. Ultimately, this study offers a foundation for understanding the emotional outcomes of e-learning and how they can be effectively assessed to improve online and hybrid education.

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Section: Participants N=23mentioning

confidence: 99%