TY - JOUR
T1 - Analysis on Human-Display Interaction on TV Features of Rotating Display
AU - Lau, Man Lung
AU - Liu, Mengru
AU - Tang, Cheuk Yu Kelly
AU - Chak, Yun Hei
AU - Cheung, Trudy
AU - Leung, Yu Hang Dominicus
AU - Lee, Kun Pyo
PY - 2022/12
Y1 - 2022/12
N2 - With the development of information technology and human-display interaction (HDI), smart TV is gradually becoming one of the integral segments of daily life. Smart TVs serve as a core part of the smart home and have a wide range of user groups. However, manufacturers cannot fully anticipate their customers to develop a more engaging smart TV experience. Researchers believe that HDI on rotating display related to smart TV features can provide a better home environment for entertainment along with the full-size screen compared to the mobile phone, which can effectively enhance the user interaction with the smart TV and attract the user to engage in the smart life. In this study, quantitative analysis methods are used to analyze user behavior data which were collected by the features of TCL XESS rotating TV A200S and A200PRO. The findings were discussed in various usage factors, including the feature ranking by all users, the frequency of use, and most and least usage. To conclude, the intelligent design approach on HDI and TV features will support the way to suggest user preference in the next phase of smart TV development.
AB - With the development of information technology and human-display interaction (HDI), smart TV is gradually becoming one of the integral segments of daily life. Smart TVs serve as a core part of the smart home and have a wide range of user groups. However, manufacturers cannot fully anticipate their customers to develop a more engaging smart TV experience. Researchers believe that HDI on rotating display related to smart TV features can provide a better home environment for entertainment along with the full-size screen compared to the mobile phone, which can effectively enhance the user interaction with the smart TV and attract the user to engage in the smart life. In this study, quantitative analysis methods are used to analyze user behavior data which were collected by the features of TCL XESS rotating TV A200S and A200PRO. The findings were discussed in various usage factors, including the feature ranking by all users, the frequency of use, and most and least usage. To conclude, the intelligent design approach on HDI and TV features will support the way to suggest user preference in the next phase of smart TV development.
M3 - Journal article
SN - 1549-3636
VL - 49
JO - Journal of Computer Science
JF - Journal of Computer Science
IS - 4
ER -