Publication statistics

Pub. period:2007-2011
Pub. count:6
Number of co-authors:22



Co-authors

Number of publications with 3 favourite co-authors:

Jeffrey P. Bigham:3
Hanjie Ji:3
Robert C. Miller:2

 

 

Productive colleagues

Chandrika Jayant's 3 most productive colleagues in number of publications:

Jacob O. Wobbrock:71
Robert C. Miller:42
Richard E. Ladner:32
 
 
 

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Chandrika Jayant

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Publications by Chandrika Jayant (bibliography)

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2011
 
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Jayant, Chandrika, Ji, Hanjie, White, Samuel and Bigham, Jeffrey P. (2011): Supporting blind photography. In: Thirteenth Annual ACM SIGACCESS Conference on Assistive Technologies 2011. pp. 203-210.

Blind people want to take photographs for the same reasons as others -- to record important events, to share experiences, and as an outlet for artistic expression. Furthermore, both automatic computer vision technology and human-powered services can be used to give blind people feedback on their environment, but to work their best these systems need high-quality photos as input. In this paper, we present the results of a large survey that shows how blind people are currently using cameras. Next, we introduce EasySnap, an application that provides audio feedback to help blind people take pictures of objects and people and show that blind photographers take better photographs with this feedback. We then discuss how we iterated on the portrait functionality to create a new application called PortraitFramer designed specifically for this function. Finally, we present the results of an in-depth study with 15 blind and low-vision participants, showing that they could pick up how to successfully use the application very quickly.

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

2010
 
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Bigham, Jeffrey P., Jayant, Chandrika, Ji, Hanjie, Little, Greg, Miller, Andrew, Miller, Robert C., Tatarowicz, Aubrey, White, Brandyn, White, Samuel and Yeh, Tom (2010): VizWiz: nearly real-time answers to visual questions. In: Proceedings of the 2010 International Cross-Disciplinary Conference on Web Accessibility W4A 2010. p. 24.

Visual information pervades our environment. Vision is used to decide everything from what we want to eat at a restaurant and which bus route to take to whether our clothes match and how long until the milk expires. Individually, the inability to interpret such visual information is a nuisance for blind people who often have effective, if inefficient, work-arounds to overcome them. Collectively, however, they can make blind people less independent. Specialized technology addresses some problems in this space, but automatic approaches cannot yet answer the vast majority of visual questions that blind people may have. VizWiz addresses this shortcoming by using the Internet connections and cameras on existing smartphones to connect blind people and their questions to remote paid workers' answers. VizWiz is designed to have low latency and low cost, making it both competitive with expensive automatic solutions and much more versatile.

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

 
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Bigham, Jeffrey P., Jayant, Chandrika, Ji, Hanjie, Little, Greg, Miller, Andrew, Miller, Robert C., Miller, Robin, Tatarowicz, Aubrey, White, Brandyn, White, Samual and Yeh, Tom (2010): VizWiz: nearly real-time answers to visual questions. In: Proceedings of the 2010 ACM Symposium on User Interface Software and Technology 2010. pp. 333-342.

The lack of access to visual information like text labels, icons, and colors can cause frustration and decrease independence for blind people. Current access technology uses automatic approaches to address some problems in this space, but the technology is error-prone, limited in scope, and quite expensive. In this paper, we introduce VizWiz, a talking application for mobile phones that offers a new alternative to answering visual questions in nearly real-time -- asking multiple people on the web. To support answering questions quickly, we introduce a general approach for intelligently recruiting human workers in advance called quikTurkit so that workers are available when new questions arrive. A field deployment with 11 blind participants illustrates that blind people can effectively use VizWiz to cheaply answer questions in their everyday lives, highlighting issues that automatic approaches will need to address to be useful. Finally, we illustrate the potential of using VizWiz as part of the participatory design of advanced tools by using it to build and evaluate VizWiz::LocateIt, an interactive mobile tool that helps blind people solve general visual search problems.

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

 
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Jayant, Chandrika, Acuario, Christine, Johnson, William, Hollier, Janet and Ladner, Richard (2010): V-braille: haptic braille perception using a touch-screen vibration on mobile phones. In: Twelfth Annual ACM SIGACCESS Conference on Assistive Technologies 2010. pp. 295-296.

V-Braille is a novel way to haptically represent Braille characters on a standard mobile phone using the touch-screen and vibration. V-Braille may be suitable for deaf-blind people who rely primarily on their tactile sense. A preliminary study with deaf-blind Braille users found that, with minimal training, V-Braille can be used to read individual characters and sentences.

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

2009
 
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Kane, Shaun K., Jayant, Chandrika, Wobbrock, Jacob O. and Ladner, Richard E. (2009): Freedom to roam: a study of mobile device adoption and accessibility for people with visual and motor disabilities. In: Eleventh Annual ACM SIGACCESS Conference on Assistive Technologies 2009. pp. 115-122.

Mobile devices provide people with disabilities new opportunities to act independently in the world. However, these empowering devices have their own accessibility challenges. We present a formative study that examines how people with visual and motor disabilities select, adapt, and use mobile devices in their daily lives. We interviewed 20 participants with visual and motor disabilities and asked about their current use of mobile devices, including how they select them, how they use them while away from home, and how they adapt to accessibility challenges when on the go. Following the interviews, 19 participants completed a diary study in which they recorded their experiences using mobile devices for one week. Our results show that people with visual and motor disabilities use a variety of strategies to adapt inaccessible mobile devices and successfully use them to perform everyday tasks and navigate independently. We provide guidelines for more accessible and empowering mobile device design.

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

2007
 
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Jayant, Chandrika, Renzelmann, Matt, Wen, Dana, Krisnandi, Satria, Ladner, Richard and Comden, Dan (2007): Automated tactile graphics translation: in the field. In: Ninth Annual ACM Conference on Assistive Technologies 2007. pp. 75-82.

We address the practical problem of automating the process of translating figures from mathematics, science, and engineering textbooks to a tactile form suitable for blind students. The Tactile Graphics Assistant (TGA) and accompanying workflow is described. Components of the TGA that identify text and replace it with Braille use machine learning, computational geometry, and optimization algorithms. We followed through with the ideas in our 2005 paper by creating a more detailed workflow, translating actual images, and analyzing the translation time. Our experience in translating more than 2,300 figures from 4 textbooks demonstrates that figures can be translated in ten minutes or less of human time on average. We describe our experience with training tactile graphics specialists to use the new TGA technology.

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

 
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Changes to this page (author)

03 Apr 2012: Modified
15 Jan 2011: Modified
03 Nov 2010: Modified
03 Nov 2010: Modified
03 Nov 2010: Modified
12 May 2008: Added

Page Information

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

Publication statistics

Pub. period:2007-2011
Pub. count:6
Number of co-authors:22



Co-authors

Number of publications with 3 favourite co-authors:

Jeffrey P. Bigham:3
Hanjie Ji:3
Robert C. Miller:2

 

 

Productive colleagues

Chandrika Jayant's 3 most productive colleagues in number of publications:

Jacob O. Wobbrock:71
Robert C. Miller:42
Richard E. Ladner:32
 
 
 

Upcoming Courses

go to course
User-Centred Design - Module 3
73% booked. Starts in 22 days
 
 

Featured chapter

Marc Hassenzahl explains the fascinating concept of User Experience and Experience Design. Commentaries by Don Norman, Eric Reiss, Mark Blythe, and Whitney Hess

User Experience and Experience Design !

 
 

Our Latest Books

 
 
The Social Design of Technical Systems: Building technologies for communities. 2nd Edition
by Brian Whitworth and Adnan Ahmad
start reading
 
 
 
 
Gamification at Work: Designing Engaging Business Software
by Janaki Mythily Kumar and Mario Herger
start reading
 
 
 
 
The Social Design of Technical Systems: Building technologies for communities
by Brian Whitworth and Adnan Ahmad
start reading
 
 
 
 
The Encyclopedia of Human-Computer Interaction, 2nd Ed.
by Mads Soegaard and Rikke Friis Dam
start reading