User Satisfaction for an Augmented Reality Application to Support Productive Vocabulary Using Speech Recognition. (3rd June 2018)
- Record Type:
- Journal Article
- Title:
- User Satisfaction for an Augmented Reality Application to Support Productive Vocabulary Using Speech Recognition. (3rd June 2018)
- Main Title:
- User Satisfaction for an Augmented Reality Application to Support Productive Vocabulary Using Speech Recognition
- Authors:
- Che Hashim, Nurhazarifah
Abd Majid, Nazatul Aini
Arshad, Haslina
Khalid Obeidy, Waqas - Other Names:
- Mäkilä Tuomas Academic Editor.
- Abstract:
- Abstract : The aim of this paper is to evaluate user satisfaction based on System Usability Scale (SUS) questionnaire on Augmented Reality (AR) application for productive vocabulary using speech recognition. There is still lack of research focus on user satisfaction towards the use of AR-based app using speech recognition for vocabulary learning in early education. The first objective of this paper is to develop an AR application for children using speech recognition to enhance productive vocabulary learning that integrates visual script (orthography) and audio (phonology). The second objective is to evaluate and identify the user satisfaction in enhancing productive vocabulary methods by combining AR technology and speech recognition to the parents and teachers by doing a mixed method testing such as questionnaire and interview. To achieve this, an interview session was conducted with the experts and SUS questionnaire was given to the teachers and parents of the student to evaluate user satisfaction. The results show that the research hypotheses of this study were successfully achieved. It revealed that the teachers and students were satisfied with the application based on SUS score (SUS score > 68). Since the total SUS score is 80.3, which is above average, it shows that they were satisfied with the overall application. Apart from that, the mean of the usability study based on questionnaire also shows that the users have found that this application is usable in terms ofAbstract : The aim of this paper is to evaluate user satisfaction based on System Usability Scale (SUS) questionnaire on Augmented Reality (AR) application for productive vocabulary using speech recognition. There is still lack of research focus on user satisfaction towards the use of AR-based app using speech recognition for vocabulary learning in early education. The first objective of this paper is to develop an AR application for children using speech recognition to enhance productive vocabulary learning that integrates visual script (orthography) and audio (phonology). The second objective is to evaluate and identify the user satisfaction in enhancing productive vocabulary methods by combining AR technology and speech recognition to the parents and teachers by doing a mixed method testing such as questionnaire and interview. To achieve this, an interview session was conducted with the experts and SUS questionnaire was given to the teachers and parents of the student to evaluate user satisfaction. The results show that the research hypotheses of this study were successfully achieved. It revealed that the teachers and students were satisfied with the application based on SUS score (SUS score > 68). Since the total SUS score is 80.3, which is above average, it shows that they were satisfied with the overall application. Apart from that, the mean of the usability study based on questionnaire also shows that the users have found that this application is usable in terms of learnability study and that this application is easy to use. … (more)
- Is Part Of:
- Advances in multimedia. Volume 2018(2018)
- Journal:
- Advances in multimedia
- Issue:
- Volume 2018(2018)
- Issue Display:
- Volume 2018, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 2018
- Issue:
- 2018
- Issue Sort Value:
- 2018-2018-2018-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-06-03
- Subjects:
- Multimedia systems -- Periodicals
Computer networks -- Periodicals
Multimédia
Réseaux d'ordinateurs
Computer networks
Multimedia systems
Periodicals
006.7 - Journal URLs:
- https://www.hindawi.com/journals/am/ ↗
http://bibpurl.oclc.org/web/22854 ↗ - DOI:
- 10.1155/2018/9753979 ↗
- Languages:
- English
- ISSNs:
- 1687-5680
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10572.xml