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ReferencesNavigation arrowAuthorsNavigation arrowLin Zhong

Publication statistics

Pub. period:2005-2012
Pub. count:13
Number of co-authors:26



Co-authors

Number of publications with 3 favourite co-authors:

Ahmad Rahmati:8
Venu Vasudevan:2
Mike Sinclair:2

 

 

Productive colleagues

Lin Zhong's 3 most productive colleagues in number of publications:

Ye Wang:23
Philip Kortum:15
S. Camille Peres:13
 
 
 
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Lin Zhong

Assistant Professor

Picture of Lin Zhong. Copyright unknown.
Personal Homepage:
http://www.linzhong.org

Current place of employment:
Rice University

Department of Electrical & Computer Engineering. Research in mobile & embedded computing.

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Publications by Lin Zhong (bibliography)

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2012
 
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Rahmati, Ahmad, Tossell, Chad, Shepard, Clayton, Kortum, Philip and Zhong, Lin (2012): Exploring iPhone usage: the influence of socioeconomic differences on smartphone adoption, usage and usability. In: Proceedings of the 14th Conference on Human-computer interaction with mobile devices and services 2012. pp. 11-20.

“Previous studies have found that smartphone users differ by orders of magnitude. We explore this variability to understand how users install and use native applications in ecologically-valid environments. A quasi-experimental approach is applied to compare how users in different socio-economic status (SES) groups adopt new smartphone technology along with how applications are installed and used. We present a longitudinal study of 34 iPhone 3GS users. 24 of these participants were chosen from two carefully selected SES groups who were otherwise similar and balanced. Usage data collected through an in-device programmable logger, as well as several structured interviews, identify similarities, differences, and trends, and highlight systematic differences in smartphone usage. A group of 10 lower SES participants were later recruited and confirm the influence of SES diversity on device usage. Among our findings are that a large number of applications were uninstalled, lower SES groups spent more money on applications and installed more applications overall, and the lowest SES group perceived the usability of their iPhones poorly in comparison to the other groups. We further discuss the primary reasons behind this low score, and suggest design implications to better support users across SES brackets.”

© All rights reserved Rahmati et al. and/or ACM Press

 
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Wang, Zhen, Lin, Felix Xiaozhu, Zhong, Lin and Chishtie, Mansoor (2012): How far can client-only solutions go for mobile browser speed?. In: Proceedings of the 2012 International Conference on the World Wide Web 2012. pp. 31-40.

“Mobile browser is known to be slow because of the bottleneck in resource loading. Client-only solutions to improve resource loading are attractive because they are immediately deployable, scalable, and secure. We present the first publicly known treatment of client-only solutions to understand how much they can improve mobile browser speed without infrastructure support. Leveraging an unprecedented set of web usage data collected from 24 iPhone users continuously over one year, we examine the three fundamental, orthogonal approaches a client-only solution can take: caching, prefetching, and speculative loading. Speculative loading, as is firstly proposed and studied in this work, predicts and speculatively loads the subresources needed to open a webpage once its URL is given. We show that while caching and prefetching are highly limited for mobile browsing, speculative loading can be significantly more effective. Empirically, we show that client-only solutions can improve the browser speed by about 1.4 second on average for websites visited by the 24 iPhone users. We also report the design, realization, and evaluation of speculative loading in a WebKit-based browser called Tempo. On average, Tempo can reduce browser delay by 1 second (~20%).”

© All rights reserved Wang et al. and/or ACM Press

2011
 
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Tossell, Chad C., Jardina, Jo R., Kortum, Philip T., Peres, S. Camille, Shepard, Clayton W., Rahmati, Ahmad and Zhong, Lin (2011): Effects of Socioeconomic diversity on iPod Touch Device Use in Real-World Environments. In: Proceedings of the Human Factors and Ergonomics Society 55th Annual Meeting 2011. pp. 1293-1297.

“The iPod Touch provides portable and personalized information, entertainment, and communication resources for users. The goal of this study was to assess the influence of user diversity on how these handheld mobile computers are employed in real environments. Using an unobtrusive, longitudinal methodology to collect data, we explored how different socioeconomic groups personalize and operate iPod Touches. The lower income group used the instrumented iPod Touch more often and for different purposes. Design implications for newer-generation handheld devices and content are discussed.”

© All rights reserved Tossell et al. and/or HFES

 
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Yu, Hang, Rahmati, Ahmad, Sani, Ardalan Amiri, Zhong, Lin, Wickramasuriya, Jehan and Vasudevan, Venu (2011): Data broadcasting using mobile FM radio: design, realization and application. In: Proceedings of the 2011 International Conference on Uniquitous Computing 2011. pp. 247-256.

“In this work, we offer a novel system, MicroStation (µStation) that allows ubiquitous data broadcasting applications using the FM radio on mobile devices such as smartphones. µStation includes two key modules to enable data broadcasting based on existing mobile FM radio hardware. Channel Selector assigns different FM channels to neighboring µStation broadcasters to avoid collision and guides µStation listeners to find their broadcasting of interest. Data Codec realizes bit-level communication between mobile devices through existing FM radio hardware. We describe an implementation of µStation on the Nokia N900 smartphone, and provide low-level APIs and services to support application development. We also demonstrate two representative applications: Facebook-FM and Sync-Flash. These applications demonstrate the capability of µStation to readily enable a new class of ubiquitous data broadcasting applications on mobile devices.”

© All rights reserved Yu et al. and/or ACM Press

 
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LiKamWa, Robert and Zhong, Lin (2011): SUAVE: sensor-based user-aware viewing enhancement for mobile device displays. In: Proceedings of the 2011 ACM Symposium on User Interface Software and Technology 2011. pp. 5-6.

“As mobile devices are used in various environments, ambient light and wide viewing direction impair a display's perceived display quality. To combat these effects, we introduce SUAVE, our Sensor-based User-Aware Viewing Enhancement system. SUAVE senses the ambient light and viewing direction and applies corresponding image enhancements to the display content, increasing its usability. SUAVE employs a parameter calibration process to help users select suitable image enhancements for particular viewing contexts. We report implementations of SUAVE on a Motorola Xoom Tablet and an Apple iPhone 4.”

© All rights reserved LiKamWa and Zhong and/or ACM Press

2010
 
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Tossell, Chad C., Kortum, Philip T., Shepard, Clayton W., Rahmati, Ahmad and Zhong, Lin (2010): ASSESSING THE PERFORMANCE OF COMMON TASKS ON HANDHELD MOBILE COMPUTERS. In: Proceedings of the Human Factors and Ergonomics Society 54th Annual Meeting 2010. pp. 542-546.

“The goal of this study was to examine three interfaces for handheld mobile computing (HMC) on the iPhone and then assess against a standard personal computer (PC) interface. While designers originally envisioned similar performance between HMC and PC, our results indicate differences between these platforms. However, specialized mobile sites and applications (Apps) greatly enhanced HMC performance on the iPhone. In particular, mobile content that required larger amounts of data entry benefited much more from these sorts of interfaces than mobile content for data acquisition.”

© All rights reserved Tossell et al. and/or HFES

2009
 
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Liu, Jiayang, Zhong, Lin, Wickramasuriya, Jehan and Vasudevan, Venu (2009): User evaluation of lightweight user authentication with a single tri-axis accelerometer. In: Proceedings of 11th Conference on Human-computer interaction with mobile devices and services 2009. p. 15.

“We report a series of user studies that evaluate the feasibility and usability of light-weight user authentication with a single tri-axis accelerometer. We base our investigation on uWave, a state-of-the-art recognition system for user-created free-space manipulation, or gestures. Our user studies address two types of user authentication: non-critical authentication (or identification) for a user to retrieve privacy-insensitive data; and critical authentication for protecting privacy-sensitive data. For non-critical authentication, our evaluation shows that uWave achieves high”

© All rights reserved Liu et al. and/or their publisher

2008
 
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Hong, Guangming, Rahmati, Ahmad, Wang, Ye and Zhong, Lin (2008): SenseCoding: accelerometer-assisted motion estimation for efficient video encoding. In: El-Saddik, Abdulmotaleb, Vuong, Son, Griwodz, Carsten, Bimbo, Alberto Del, Candan, K. Selcuk and Jaimes, Alejandro (eds.) Proceedings of the 16th International Conference on Multimedia 2008 October 26-31, 2008, Vancouver, British Columbia, Canada. pp. 749-752.

2007
 
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Rahmati, Ahmad, Qian, Angela and Zhong, Lin (2007): Understanding human-battery interaction on mobile phones. In: the 9th international conference on Human computer interaction with mobile devices and services 2007. .

 
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Rahmati, Ahmad, Qian, Angela and Zhong, Lin (2007): Understanding human-battery interaction on mobile phones. In: Cheok, Adrian David and Chittaro, Luca (eds.) Proceedings of the 9th Conference on Human-Computer Interaction with Mobile Devices and Services - Mobile HCI 2007 September 9-12, 2007, Singapore. pp. 265-272.

 
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Banerjee, Nilanjan, Rahmati, Ahmad, Corner, Mark D., Rollins, Sami and Zhong, Lin (2007): Users and Batteries: Interactions and Adaptive Energy Management in Mobile Systems. In: Krumm, John, Abowd, Gregory D., Seneviratne, Aruna and Strang, Thomas (eds.) UbiComp 2007 Ubiquitous Computing - 9th International Conference September 16-19, 2007, Innsbruck, Austria. pp. 217-234.

2005
 
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Zhong, Lin, Sinclair, Mike and Jha, Niraj K. (2005): A personal-area network of low-power wireless interfacing devices for handhelds: system and hardware design. In: Proceedings of 7th conference on Human-computer interaction with mobile devices and services 2005. pp. 251-254.

“Handhelds, such as smart-phones and Pocket PCs, have the potential to become the computing, storage, and connectivity hub, or Digital Hub, for pervasive computing. However, their current interfacing paradigms fall short of achieving this goal. To meet this challenge, we present the system and hardware design for a Bluetooth-based personal-area network (PAN) of low-power wireless interfacing devices. The network consists of a wrist-watch, single-hand single-tap multi-finger keypad, smart speech portal, and GPS receiver. These devices serve a handheld in a synergistic fashion, collectively providing the user with immediate and more natural access to computing power and enabling more and better services.”

© All rights reserved Zhong et al. and/or ACM Press

 
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Zhong, Lin, Sinclair, Mike and Jha, Niraj K. (2005): A personal-area network of low-power wireless interfacing devices for handhelds: system and hardware design. In: Tscheligi, Manfred, Bernhaupt, Regina and Mihalic, Kristijan (eds.) Proceedings of the 7th Conference on Human-Computer Interaction with Mobile Devices and Services - Mobile HCI 2005 September 19-22, 2005, Salzburg, Austria. pp. 251-254.

 
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Changes to this page (author)

23 Nov 2012: Added
23 Nov 2012: Added
05 Apr 2012: Added
05 Apr 2012: Added
04 Apr 2012: Added
16 Jan 2011: Added
02 Nov 2010: Added
13 Feb 2010: Modified
17 Jun 2009: Added
30 May 2009: Added
29 May 2009: Added
29 May 2009: Added
01 May 2009: Modified
01 May 2009: Added
01 May 2009: Modified
24 Jul 2007: Added

Page Information

Page maintainer: The Editorial Team
URL: http://www.interaction-design.org/references/authors/lin_zhong.html

Publication statistics

Pub. period:2005-2012
Pub. count:13
Number of co-authors:26



Co-authors

Number of publications with 3 favourite co-authors:

Ahmad Rahmati:8
Venu Vasudevan:2
Mike Sinclair:2

 

 

Productive colleagues

Lin Zhong's 3 most productive colleagues in number of publications:

Ye Wang:23
Philip Kortum:15
S. Camille Peres:13
 
 
 
May 21

“ Computer analyst to programmer: "You start coding. I'll go find out what they want." ”

-- Popular computer one-liner

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Help us help you!

 
 
 
 
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