Jia Zhou

Prof. Jia Zhou


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 December 2011 in International Journal of Human-Computer Studies
Verified
Journal Article
Closed access
DHDing-Long Huang
Ding-Long Huang
PRPei-Luen Patrick Rau
Pei-Luen Patrick Rau
GSGavriel Salvendy
Gavriel Salvendy
FGFei Gao
Fei Gao
JZJia Zhou
Jia Zhou

28 February 2012 in International Journal of Human–Computer Interaction
Verified
Journal Article
Closed access
JZJia Zhou
Jia Zhou
PRPei-Luen Patrick Rau
Pei-Luen Patrick Rau
GSGavriel Salvendy
Gavriel Salvendy
This article presents a comprehensive literature review to investigate whether and why older adults accept handheld computers and how to design elderly-friendly handheld computers. Findings about acceptance, input devices, menu and functions, and output devices are summarized. First, older adults were under social pressure to use mobile phones, but they had low acceptance of advanced functions. Also, they had a different way to judge acceptance factors from younger adults. Second, older adults preferred the physical keyboard to the on-screen keyboard for text entry, whereas they preferred tapping the touch pad to the joystick and buttons for pointing tasks. Third, older adults had shallower mental representation of the mobile phone menus than younger adults. Navigation aids providing contextual information and large cognitive preview per screen could help them. Finally, recommended size and spacing for text and icons are presented.

9 April 2013 in Behaviour & Information Technology
Verified
Journal Article
Closed access
JZJia Zhou
Jia Zhou
PRPei-Luen Patrick Rau
Pei-Luen Patrick Rau
GSGavriel Salvendy
Gavriel Salvendy
After adopting mobile phones, most older adults use them only for calling and SMS. The purpose of this study is to extend their usage of mobile phones to new functions. To understand older adults’ requirements of mobile phones, a questionnaire was constructed and 351 Chinese older adults were recruited to complete the questionnaires. Data collected through the questionnaires were analysed using explorative factor analysis. The results revealed that older adults’ requirements were composed of 10 factors: Find a Specific Function, Awareness and Attractiveness, Readability, Personal Concern, Soft Keys and Multi-tap, Hardware Capacity, Touch Screen, Concern of Learning, Connectivity, and Social Influence. Then, from the above 10 factors, the 6 most important factors were revealed using multiple linear regression analysis. The results imply that accepting new functions is different from accepting a product. Readability and Find a Specific Function, which are critical for older adults’ acceptance of feature phones, are not determinants of their acceptance of new functions in smart phones.

28 May 2014 in International Journal of Human–Computer Interaction
Verified
Journal Article
Closed access
JZJia Zhou
Jia Zhou
PRPei-Luen Patrick Rau
Pei-Luen Patrick Rau
GSGavriel Salvendy
Gavriel Salvendy
This study focuses on older adults’ finger-based text entry on smartphones and tablets. Thirty-two older adults entered Chinese characters with two input methods (typing and handwriting) on touch screens with four display sizes (3.5 in., 5 in., 7 in., 9.7 in.). Their performance, acceptance, preference, and errors were recorded and thus four findings were found. First, on small displays (3.5 in. and 5 in.), handwriting contributed to shorter task completion time, higher perceived ease of use, and higher usage intention than typing, but no difference was observed on large displays (7 in. and 9.7 in.). Second, there is a gap of task completion time and perceived ease of use between 5 in. and 7 in. for typing, whereas there is no gap for handwriting. Third, participants’ preference of 9.7 in. was almost the same as that of 7 in., and their preference of 7 in. was 1.5 times as strong as that of 5 in. Fourth, participants’ finger-based text entry was prone to 13 types of errors. Many of these errors were caused by the mismatch between older adults’ mental models and designers’ mental models.

4 February 2025 in International Journal of Human–Computer Interaction
Verified
Journal Article
Open access
Constantine StephanidisConstantine Stephanidis
Constantine Stephanidis
GSGavriel Salvendy
Gavriel Salvendy
MAMargherita Antona
Margherita Antona
VDVincent G. Duffy
Vincent G. Duffy
QGQin Gao
Qin Gao
JZJia Zhou
Jia Zhou

26 September 2013 in Universal Access in the Information Society
Verified
Journal Article
Closed access
PDF file
JZJia Zhou
Jia Zhou
PRPei-Luen Patrick Rau
Pei-Luen Patrick Rau
GSGavriel Salvendy
Gavriel Salvendy