Published in CHI, 2016
This paper is about a case study that lead to learning salient differences in understanding nagivation when you have a visual impairment.
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Published in Journal of Cyber-Physical Systems, 2015
This journal details a novel web-based assistive technology was designed to aid individuals with visual impairment ‘read’ floor layouts of unfamiliar public buildings.
Recommended citation: Devi Archana Paladugu, Qiongjie Tian, Hima Bindu Maguluri & Baoxin Li (2015) Towards building an automated system for describing indoor floor maps for individuals with visual impairment, Cyber-Physical Systems https://www.tandfonline.com/doi/full/10.1080/23335777.2016.1141801
Published in IEEE Workshop on Multimodal and Alternative Perception for Visually Impaired People (MAP4VIP), 2013
In this paper, we present GoingEasy®, a social networking site (SNS) developed for individuals with visual impairments.
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Published in ICME, 2013
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Paladugu, Archana & Chandakkar, Parag & Zhang, Peng & Li, Baoxin. (2017). Supporting Navigation of Outdoor Shopping Complexes for Visually-impaired Users through Multi-modal Data Fusion. https://www.researchgate.net/publication/315795450_Supporting_Navigation_of_Outdoor_Shopping_Complexes_for_Visually-impaired_Users_through_Multi-modal_Data_Fusion
Published in ASSETS, 2012
A system that generates a verbal description combined with a user-friendly interface can be very useful in helping the user to get a sense of relative positions of locations and thus might reduce the need for totally relying on “asking for directions”.
Recommended citation: Devi Archana Paladugu, Hima Bindu Maguluri, Qiongjie Tian, Baoxin Li: Automated description generation for indoor floor maps. ASSETS 2012: 211-212 https://www.public.asu.edu/~bli24/Papers/ASSETS2012Demo.pdf
Published in IUI, 2011
We presented a novel social networking site, GoingEasy®, which aims at providing crowdsourcing capabilities to help a local community of computer users with visual impairment for improved information sharing.
Recommended citation: Devi Archana Paladugu, Jeff Zang, and Baoxin Li, “Towards Designing a Crowdsourcing Network for Visually Impaired Users”, IUI 2011. https://www.public.asu.edu/~bli24/Papers/GoingEasyFull.pdf
Published in CSCW, 2011
We use kernel CCA to recommend tags for new Flickr images and improve accuracy using users social network.
Recommended citation: Devi Archana Paladugu, Zheshen Wang, and Baoxin Li, “User Adaptive Photo Tag Recommendation Employing Social Networks”, Workshop on Social Recommendation, CSCW 2011.
Published in CHI 2010, 2010
In this paper, we propose our design considerations that we believe are essential for effective rendering of tactile-audio maps for providing directions.
Recommended citation: Devi Archana Paladugu, Zheshen Wang, and Baoxin Li, “On Presenting Audio-Tactile Maps to Visually Impaired Users for Getting Directions”, ACM CHI 2010, April, 2010. https://dl.acm.org/doi/10.1145/1753846.1754085