CUTIE : CIT-University tutoring interviewer environment / by Patrick Lape Bacalso
By: Bacalso, Patrick Lape [author]
Language: English Description: ix, 47 leaves : color illustrations; 28 cmContent type: text Media type: unmediated Carrier type: volumeSubject(s): Employment interviewing | Human-computer interactionGenre/Form: Academic theses.DDC classification: 658.31124 Dissertation note: Thesis (DIT) -- Cebu Institute of Technology - University, December 2021 Summary: This study aims to develop a socio-technical model named CUTIE: CIT University Tutoring Interviewer Environment that improve self-presentation during a job interview for students of Cebu Institute of Technology University by using effective technological tools that can help close the gap in developing this emerging skills. The first phase of the study was to ideate the design of our life-like interview simulator (CUTIE) using the concepts in Design Thinking and Human-Computer Interaction. The main objective of this phase is to analyze the effectivity of our foundational elements of CUTIE using a 3D human-like interviewer, Sentiment analysis using audio and video input, adaptive interview questions taken from Society of Human Resource Management and Virtual Background Setting. A system prototype was handed to respondents in selecting virtual interviewer as a preference based on a different persona within the university. Data were collected through interview and survey using the methods on Reliability Analysis and Exploratory Factor Analysis to identify six attributes of engagement: Perceived Usability, Aesthetics, Focused Attention, Felt Involvement, Novelty and Endurability. The result was very satisfactory. After the receiving positive feedbacks form our Ideation phase, we move forward to the next phase on the development of this project by implementing the foundation elements of CUTIE using open-sourced application software that match our requirements like Vue.js as our Web Client, GraphQ1 for Data Query and Manipulation and Django as our CUTIE Server for initial deployment of the program. The bot performs real-time analysis of the sentiment and the emotional response of the student. The study started by analyzing of the sentiment and the emotional response of the student. The study started by analyzing 114 videos of students submitted as answers to an interview questionnaire. The videos were then manually analysed by experts for scoring. The current model shows encouraging results in terms of facial recognition and sentiment analysis. It also contributed by identifying factors that could affect the result of video analysis used for validation test.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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THESIS / DISSERTATION
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GRADUATE LIBRARY | GRADUATE LIBRARY Theses/Dissertations | 658.31124 B12 2021 (Browse shelf) | Not for loan | T2042 |
Thesis (DIT) -- Cebu Institute of Technology - University, December 2021
Includes bibliographical references (pages 13-14).
This study aims to develop a socio-technical model named CUTIE: CIT University Tutoring Interviewer Environment that improve self-presentation during a job interview for students of Cebu Institute of Technology University by using effective technological tools that can help close the gap in developing this emerging skills.
The first phase of the study was to ideate the design of our life-like interview simulator (CUTIE) using the concepts in Design Thinking and Human-Computer Interaction. The main objective of this phase is to analyze the effectivity of our foundational elements of CUTIE using a 3D human-like interviewer, Sentiment analysis using audio and video input, adaptive interview questions taken from Society of Human Resource Management and Virtual Background Setting. A system prototype was handed to respondents in selecting virtual interviewer as a preference based on a different persona within the university. Data were collected through interview and survey using the methods on Reliability Analysis and Exploratory Factor Analysis to identify six attributes of engagement: Perceived Usability, Aesthetics, Focused Attention, Felt Involvement, Novelty and Endurability. The result was very satisfactory.
After the receiving positive feedbacks form our Ideation phase, we move forward to the next phase on the development of this project by implementing the foundation elements of CUTIE using open-sourced application software that match our requirements like Vue.js as our Web Client, GraphQ1 for Data Query and Manipulation and Django as our CUTIE Server for initial deployment of the program. The bot performs real-time analysis of the sentiment and the emotional response of the student. The study started by analyzing of the sentiment and the emotional response of the student. The study started by analyzing 114 videos of students submitted as answers to an interview questionnaire. The videos were then manually analysed by experts for scoring. The current model shows encouraging results in terms of facial recognition and sentiment analysis. It also contributed by identifying factors that could affect the result of video analysis used for validation test.
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