TY - JOUR
T1 - Emotions detection of user experience (Ux) for mobile augmented reality (mar) applications
AU - Zhang, Jiaqi
AU - Kamioka, Eiji
AU - Tan, Phan Xuan
N1 - Publisher Copyright:
© 2019, World Academy of Research in Science and Engineering. All rights reserved.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019
Y1 - 2019
N2 - Mobile Augmented Reality (MAR) is becoming a major interactive technology for cross-domain and destination applications. The number of using MAR apps around the world in excess of 2.2 billion by 2019. Despite the recent advances in MAR technology and tools, the User eXperience (UX) design perspective has not been seriously taken into consideration. In this paper, an MAR application production scheme using UX is practically investigated. Particularly, “GlassOn" app which provides visual information on how the user looks like with various types of glasses, is utilized in accordance with the user’s emotion raised by the interaction. To verify the effectiveness of this scheme, an evaluation experiment was conducted with 10 participants. The numerical values that indicate the rates of each emotion were taken from Microsoft Azure Face API. Meanwhile, a questionnaire survey was conducted to collect each participant’s perception of each pair of glasses as subjective evaluation. The comparison between subjective evaluation and the numerical results shows that the more the emotion of surprise is raised rather than happiness, the higher the user’s purchase rate. It is revealed that UX is useful to inspire the user’s purchase desire for glasses online.
AB - Mobile Augmented Reality (MAR) is becoming a major interactive technology for cross-domain and destination applications. The number of using MAR apps around the world in excess of 2.2 billion by 2019. Despite the recent advances in MAR technology and tools, the User eXperience (UX) design perspective has not been seriously taken into consideration. In this paper, an MAR application production scheme using UX is practically investigated. Particularly, “GlassOn" app which provides visual information on how the user looks like with various types of glasses, is utilized in accordance with the user’s emotion raised by the interaction. To verify the effectiveness of this scheme, an evaluation experiment was conducted with 10 participants. The numerical values that indicate the rates of each emotion were taken from Microsoft Azure Face API. Meanwhile, a questionnaire survey was conducted to collect each participant’s perception of each pair of glasses as subjective evaluation. The comparison between subjective evaluation and the numerical results shows that the more the emotion of surprise is raised rather than happiness, the higher the user’s purchase rate. It is revealed that UX is useful to inspire the user’s purchase desire for glasses online.
KW - Emotion API
KW - Emotions Detection
KW - Mobile Augmented Reality (MAR)
KW - Mobile Device
KW - User eXperience (UX)
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U2 - 10.30534/ijatcse/2019/1081.42019
DO - 10.30534/ijatcse/2019/1081.42019
M3 - Article
AN - SCOPUS:85074463857
SN - 2278-3091
VL - 8
SP - 63
EP - 67
JO - International Journal of Advanced Trends in Computer Science and Engineering
JF - International Journal of Advanced Trends in Computer Science and Engineering
IS - 1.4 S1
ER -