Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Zhengjie Liu is active.

Publication


Featured researches published by Zhengjie Liu.


international conference on human computer interaction | 2007

Embedding HCI in developing countries: localizing content, institutionalizing education and practice

Andy Smith; Anirudha Joshi; Zhengjie Liu; Liam J. Bannon; Jan Gulliksen; Cecília Baranauskas

This SIG will facilitate a debate concerning how best to support the development of indigenous HCI in developing countries, both as part of education and training systems and within industrial practice.


Global Usability | 2011

Usability in China

Zhengjie Liu; Jun Zhang; Haixin Zhang; Junliang Chen

This chapter describes the current state of usability in China. In particular it covers the specific activities of a number of representative commercial companies and universities. The chapter concludes with an assessment of future trends and challenges for the development of usability in China.


international conference on human-computer interaction | 2007

A user experience study on C2C e-commerce localization in china

Dan Guo; Zhengjie Liu; Zhiwei Guo; Kai Qian

Chinese online commerce develops rapidly. How to give user the good shopping experience in C2C e-commerce website is discussed. In this research, we selected 22 college students, and let them try their first online shopping experience on two Chinese C2C e-commerce websites-Ebay(China) and Taobao which are designed under two different cultures, through the analysis of their experience process and satisfaction questionnaire, we found that in users purchase decision process, the transfer and expression of function/ concept provided by website play a decisive role, shopping flow control have certain effect to the purchase implement process, and the main factor which impacts user total experience is whether the website provides the necessary function for shopping. Both websites have their own advantages in either interaction or interface, although they do not have effect to users total shopping experience, but they do effect to the users shopping feeling.


international conference on human-computer interaction | 2013

An Experimental Study of Chinese Shopping Related Sharing Behaviors

Min Li; Jun Zhang; Zhengjie Liu; Graham I. Johnson

Social media has become an increasingly important venue for social interaction and communication. Most previous research have shown the information sharing on social media platforms, but few focus on shopping related sharing (SRS) information and how these information influence consumer decision-making. Through a combination of interviews with observations in our lab to the users of social media and online shopping sites, we want to find answers to the question: what are the factors that influence Chinese consumers’ SRS behaviors? It was discovered that the factors like why, what, whom, where, when etc. have significant influence to Chinese consumers’ SRS behaviors. The study offers insights into the relationship between SRS and Chinese consumer decision-making, and design implications are discussed.


Interactions | 2008

(P)REVIEW UIGarden.net: a cross-cultural review

Neema Moraveji; Zhengjie Liu

or hard copies of all or part of this work for personal or classroom use is granted without the fee, provided that copies are not made or distributed for profit or commercial advantage, and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on services or to redistribute to lists, requires prior specific permission and/or a fee.


Interactions | 2008

UNDER DEVELOPMENT UCD in Chinese IT enterprises

Zhengjie Liu; Zhiwei Guo; Kai Qian; Huiling Wei; Ning Zhang

market globalization process, usability and UCD are rapidly emerging as professions in China. More and more leading Chinese enterprises have started practices in this area. To better understand the current situation, in January 2007 we conducted a study on UCD practice in China as a component of the SESUN (Sino European Systems Usability Network) project (www.sesun-usability.org) funded by EU Asia-IT&C Program. Thirteen IT enterprises (multinational companies were excluded) with experience in UCD were selected for the study, including hardware vendors, software vendors, solution providers, and service providers from different regions in China. They represented the leading players in UCD amongst Chinese IT enterprises. For each enterprise we conducted an in-depth interview with a usability practitioner who has at least one year of experience in UCD in that enterprise. The interviews focused on the key areas of UCD according to the UMM model [1]. UCd Groups Usability groups in these 13 enterprises were set up in recent years with the earliest dating back to late 2001. Nine of them are under the R&D divisions of product lines, and two are directly subordinate to the top management of the enterprises. Those not part of the product line were used to support platform or market divisions. The team size in most cases ranged from five to 20 people, with the largest having some 70 members. Most of the team members were transferred from other professional positions like interface designer, developer, or tester. As for the origin of UCD teams, 10 were transformed or evolved from the design departments, with only three cases in which top management set up the team directly. As for the daily work of the UCD practitioners, it is usually a mixture of interaction design and user research. The projects for UCD teams usually come from product lines. Only in a very few cases were they able to initiate their own projects for some prospective research. A typical UCD project (involving interviews or usability testing study), from planning to reporting, usually lasts one to two weeks. The longer ones could go on for up to a maximum of four months, depending on the specific project circumstances. Enterprises usually have a routine staff training program. However, most of the interviewed enterprises did not cover UCD in their training; only members of UCD groups are eligible for UCD training. UCD teams occasionally offer UCD training to the project teams before the project …


human factors in computing systems | 2017

Asian CHI Symposium: Emerging HCI Research Collection

Saki Sakaguchi; Eunice Sari; Taku Hachisu; Adi B. Tedjasaputra; Kunihiro Kato; Masitah Ghazali; Kaori Ikematsu; Ellen Yi-Luen Do; Jun Kato; Hiromi Nakamura; Jun Nishida; Daisuke Sakamoto; Yoshifumi Kitamura; Jinwoo Kim; Anirudha Joshi; Zhengjie Liu

This symposium showcases the latest work from Japan and Southeast Asia on interactive systems and user interfaces that address under-explored problems and demonstrate unique approaches. In addition to circulating ideas and sharing a vision of future research in human-computer interaction, this symposium aims to foster social networks among young researchers and students and create a fresh research community.


human factors in computing systems | 2016

Science and Service, Innovation and Inspiration: Celebrating the Life of John Karat

Susan M. Dray; Clare-Marie Karat; John M. Carroll; Lorrie Faith Cranor; Robin Jeffries; Zhengjie Liu; Arnold Lund; Ben Shneiderman; Gerrit C. van der Veer

This panel will highlight and celebrate the life and work of John Karat, who passed away from pancreatic cancer last year. We will discuss his many contributions to the SIGCHI community, as well as the wider international community of people doing work in this area, focusing on both his scientific achievements and service contributions.


human factors in computing systems | 2016

Comparison of Kansei Engineering and AttrakDiff to Evaluate Kitchen Products

Nigel Bevan; Zhengjie Liu; Cathy Barnes; Marc Hassenzahl; Weijie Wei

Kansei Engineering can be used to create scales to measure perceptions and evaluations of products in a particular context. To what extent do specifically constructed Kansei scales reveal more information about a product than a more generic, prestructured instrument, such as AttrakDiff? This case study identified relevant affective and pragmatic Kansei attributes that influence the purchase of a range hood (cooker hood). 102 customers rated the extent to which each of 10 range hoods possessed these attributes. In addition, AttrakDiff was used to measure hedonic and pragmatic quality perceptions. There was a general high correspondence between AttrakDiff and Kansei. While Kansei provided richer and more specific feedback, it was more resource intensive to carry out.


international conference on human-computer interaction | 2015

Acceptance of integrated active safety systems in China

Junliang Chen; Zhengjie Liu; Paul Alvarado Mendoza; Fang Chen

Yearly almost 60,000 people are killed in traffic accidents in China due to the rapid growth of the number of vehicles and bad driving habits. There is a need to increase safety and cars are being equipped with new active safety technology known as Advanced Driver Assistant Systems (ADAS), which can help driver by warning before accidents occur. A simulator study with 16 participants was carried out at a driving simulator, which equipped with an integrated visual interface prototype developed by Chalmers University of Technology in Sweden. The interface presents information visually to the driver before any critical situation with help from three Advanced Driver Assistance Systems, Forward Collision Warning (FCW), Curve Speed Warning (CSW) and Lane Departure Warning (LDW). Questionnaires and open-ended interviews were held to subjectively measure the participants’ attitude toward the sound warnings and visual interface. Questionnaire results showed that most participants thought the sound warning could facilitate their driving while most users’ attitude towards the visual display warning were comparatively neutral. In order to better understand how ADAS technology can be designed to suite Chinese drivers, their behaviors and preferences. There is more work need to do.

Collaboration


Dive into the Zhengjie Liu's collaboration.

Top Co-Authors

Avatar

Jun Zhang

Dalian Maritime University

View shared research outputs
Top Co-Authors

Avatar

Anirudha Joshi

Indian Institute of Technology Bombay

View shared research outputs
Top Co-Authors

Avatar

Junliang Chen

Dalian Maritime University

View shared research outputs
Top Co-Authors

Avatar

Kai Qian

Dalian Maritime University

View shared research outputs
Top Co-Authors

Avatar

Zhiwei Guo

Dalian Maritime University

View shared research outputs
Top Co-Authors

Avatar

Andy Smith

University of West London

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jan Gulliksen

Royal Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Eunice Sari

University of Western Australia

View shared research outputs
Researchain Logo
Decentralizing Knowledge