An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment

Soltani, Mohamed; Zarzour, Hafed; Babahenini, Mohamed Chaouki; Hammad, Mahmoud; Al-Smadi, Mohammad; Jararweh, Yaser

doi:10.1109/snams.2019.8931885

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…The FACS model was created by Hjortsj€ o (1970) to identify facial emotional expressions (Soltani et al, 2019). It was later complemented by Ekman et al (1980).…”

Section: Facial Action Coding Systemmentioning

confidence: 99%

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Does it bug you eating bugs? The emotions of anthropoentomophagy

Ferreira,

Rodrigues,

Gouveia

et al. 2024

BFJ

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PurposeThe use of insects as food is a proposed solution for the increased demand for food worldwide, but it lacks acceptance because of restrictive emotional factors. This article aims to understand better customers' emotions’ role in considering and consuming insect-based food.Design/methodology/approachTo assess their acceptance, an experiment was developed with 38 participants living in Portugal to identify how people feel when consuming processed insect bars compared to cereal bars (of equal flavour). A video was recorded “before”, “during” and “after” the consumption of such foods, and the triggered emotions and affective states were identified using the Facial Action Coding System (FACS) and the circumplex model of affect, respectively. After consumption, the Self-Assessment Manikin (SAM) was asked to be completed.FindingsIt was observed that the valence and arousal of the emotions and affective states triggered during consumption were higher in the insect bar than in the cereal bar. Its consumption resulted in surprise and a positive evaluation. Processed insect-based foods may result in a potentially increased acceptance of this new food alternative in the market.Originality/valuePrior studies briefly identified disgust as a primary emotion activated by insect-based food. The current research deeply studied emotional responses to insect-based processed foods in the Western world using the dimensional emotional models. This study offers arguments for the insect-based food industry to invest in processed food justified by its potential for acceptance. In addition, it motivates further research focused on other insect-based products (e.g. non-processed ones).

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“…The FACS model was created by Hjortsj€ o (1970) to identify facial emotional expressions (Soltani et al, 2019). It was later complemented by Ekman et al (1980).…”

Section: Facial Action Coding Systemmentioning

confidence: 99%

“…The FACS model was created by Hjortsjö (1970) to identify facial emotional expressions (Soltani et al. , 2019).…”

Section: Overview Of Emotionsmentioning

confidence: 99%

Does it bug you eating bugs? The emotions of anthropoentomophagy

Ferreira,

Rodrigues,

Gouveia

et al. 2024

BFJ

View full text Add to dashboard Cite

show abstract

“…Ayvaz et al (2017), the coordinates of the points determined on the percentage were determined as features, and the highest success in classification was obtained with SVM and k-NN [41]. The Facial Action Coding System (FACS) [49], which references facial muscle movements, and the facereader [50], which detects moving points on the face, were used in the study aiming to evaluate the emotional state of students during the course in distance learning [51].…”

Section: Related Workmentioning

confidence: 99%

An Emotion Recognition Model Using Facial Expressions in Distance Learning

ÖZSEVEN>

Çağman

2022

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

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The most important factor on the success of the student is the student's readiness for the lesson, motivation, cognitive and emotional state. In face-to-face education, the educator can follow the student visually throughout the lesson and can observe his emotional state. One of the most important disadvantages of distance learning is that the emotional state of the student cannot be followed instantly. In addition, the processing time of emotion detection, in which real-time emotion detection will be performed, should be short. In this study, a method for emotion recognition is proposed by using distance and slope information between facial landmarks. In addition, the feature size was reduced by detecting only those that are effective for emotion recognition among the distance and slope information with statistical analysis. According to the results obtained, the proposed method and feature set achieved 86.11% success. In addition, the processing time is at a level that can be used in distance learning and can detect real-time emotion.

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“…offer online, video-based proctoring solutions, their wide-spread use may remain limited due to the scalability and the cost issues. 7 Other possible solutions include: constricting the test times, not repeating test questions, using a large test question database, etc. 8 For many courses related to science or engineering, even a moderately-sized set of questions can be turned into a large question database by varying the test question data within pre-specified ranges.…”

Section: Introductionmentioning

confidence: 99%

A tool for facilitating the automated assessment of engineering/science courses

Beg

Alhemeiri

Beg³

2020

International Journal of Electrical Engineering & Education

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In recent years, massive open online courses (MOOCs) have become quite popular. Such courses are either completely free or cost nominally. Generally, the MOOCs face the challenge of not being recognized as ‘regular’ courses (i.e., the ones taken at the traditional learning institutions). One of the main reasons for this lack of acceptability is the assessment in an unsupervised environment, which is prone to the problems of test-taker’s online lookups or interaction with others for finding the answers to the test questions. A few ways of alleviating this problem include: limiting the time for answering the questions, the avoidance of repetitive questions, and the creation of a large number of questions. This paper presents a tool named QAgen that enables the automatic creation of a large number of questions and answers related to different topics in computer/electrical engineering (ECE), computer science, physics, etc. Specifically, the tool is related to the courses on digital logic design, computer architecture, etc. The generated questions are in a format that is suitable both for learning management system (LMS) based and/or non-LMS-based assessment in conventional courses or MOOCs. The proposed tool is based on open-source software, thus eliminating the need for any commercial software packages. The underlying principles of QAgen are applicable to other engineering/science courses as well, if the assessment methods require the creation of some connected-object diagrams, tables and equations. For assessing the usefulness of QAgen, practice question sets were created for three different courses. The student surveys for these courses indicated that the questions helped students prepare for actual tests/examinations. Especially favored by the students was the availability of correct answers at the end of each practice test/examination.

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An Emotional Feedback Based on Facial Action Coding System for MOOCs with Computer-Based Assessment

Cited by 6 publications

References 13 publications

Does it bug you eating bugs? The emotions of anthropoentomophagy

Does it bug you eating bugs? The emotions of anthropoentomophagy

An Emotion Recognition Model Using Facial Expressions in Distance Learning

A tool for facilitating the automated assessment of engineering/science courses

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