Papers by Beenish Chaudry
The First Workshop on AI-supported Education for Computer Science (AIEDCS)
Lecture Notes in Computer Science, 2013
3 Designing a Personal Digital Assistant (PDA) Application to Self-Monitor Diet & Fluid Intake
Advances in Chronic Kidney Disease, 2008
Advances in Chronic Kidney Disease, Volume 15, Issue 2, Pages 207, April 2008, Authors:Janet L. W... more Advances in Chronic Kidney Disease, Volume 15, Issue 2, Pages 207, April 2008, Authors:Janet L. Welch; Kay Connelly; Katie Siek; Josette Jones; Susan M. Perkins; Beenish Chaudry; Laurie Trevino. Journal Home, Register or Login: Password: Auto-Login [Reminder]. ...
Evaluation of Two Mobile Nutrition Tracking Applications for Chronically Ill Populations with Low Literacy Skills
... with Low Literacy Skills Katie A. Siek University of Colorado at Boulder, USA Kay H. Connelly... more ... with Low Literacy Skills Katie A. Siek University of Colorado at Boulder, USA Kay H. Connelly Indiana University, USA Beenish Chaudry Indiana University, USA Desiree Lambert Trilogy Health Services, USA Janet L. Welch Indiana University School of Nursing, USA ...
An offline mobile nutrition monitoring intervention for varying-literacy patients receiving hemodialysis: a pilot study examining usage and usability
Journal of the American Medical Informatics Association, 2012
Design and evaluation of the dietary intake monitoring application (DIMA) to assist varying-liter... more Design and evaluation of the dietary intake monitoring application (DIMA) to assist varying-literacy patients receiving hemodialysis to adhere to their prescribed dietary regimen. An iterative, user-centered design process informed by Bandura's social cognitive theory was employed to design DIMA--a mobile application that utilizes touch-screen, visual interfaces; barcode scanning; and voice recording to assist varying-literacy patients receiving hemodialysis to self-monitor their diet. A pilot field study was conducted where 18 patients receiving hemodialysis were recruited face-to-face from two dialysis facilities to use DIMA for 6 weeks. Subjects recorded their dietary intake using DIMA and met with research assistants three times each week. All interactions with DIMA were logged. Subjects' interdialytic weight gain was recorded throughout the study. At the end of the study, two face-to-face questionnaires were administered to assess usability and context of use. Subjects were able to use DIMA successfully--12 subjects used DIMA as much or more at the end of the study as they did at the beginning and reported that DIMA helped them change their diet. Subjects had difficulty using the barcode scanner. Viewing past meals was the most used of the reflection mechanisms in DIMA. Results suggest that while many design features were useful, some could be improved. In particular, future versions of DIMA will be on a smartphone using a camera for barcode scanning, integrate feedback and past meal reflection into the normal flow of the application, and support visual cues when selecting food items.
Designing for the cultural other: Materiality and technology in Indian homes
Proceedings of the 4th International Conference on Designing for Pleasurable Products and Interfaces, 2009
Chronically ill people, especially those with low literacy skills, often have difficulty estimati... more Chronically ill people, especially those with low literacy skills, often have difficulty estimating portion sizes of liquids to help them stay within their recommended fluid limits. There is a plethora of mobile applications that can help people monitor their nutritional intake but unfortunately these applications require the user to have high literacy and numeracy skills for portion size recording. In this paper, we present two studies in which the low- and the high-fidelity versions of a portion size estimation interface, designed using the cognitive strategies adults employ for portion size estimation during diet recall studies, was evaluated by a chronically ill population with varying literacy skills. The low fidelity interface was evaluated by ten patients who were all able to accurately estimate portion sizes of various liquids with the interface. Eighteen participants did an in situ evaluation of the high- fidelity version incorporated in a diet and fluid monitoring mobile application for 6 weeks. Although the accuracy of the estimation cannot be confirmed in the second study but
B. M. Chaudry (&) K. Connelly
School of Informatics and Computing, Indiana University, 901 E. 10th St., 47408 Bloomington, IN, USA
e-mail: [email protected]
K. Connelly
e-mail: [email protected]
K. A. Siek
Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA
e-mail: [email protected]
J. L. Welch
Department of Adult Health Nursing, Indiana University Purdue University Indianapolis, 1111 Middle Drive, Nursing E403 Indianapolis, 46202-5107 Boulder, IN, USA
e-mail: [email protected]
the participants who actively interacted with the interface showed better health outcomes by the end of the study. Based on these findings, we provide recommendations for designing the next iteration of an accurate and low literacy- accessible liquid portion size estimation mobile interface.
Challenges in Evaluating Three Assistive Health Applications
Page 1. Challenges in Evaluating Three Assistive Health Applications Katie A. Siek, Stephen E. Ro... more Page 1. Challenges in Evaluating Three Assistive Health Applications Katie A. Siek, Stephen E. Ross, Kay H. Connelly, Janet L. Welch, Danish Ullah Khan, and Beenish Chaudry The Wellness Innovation and Interaction (WII ...
Chronically ill people, especially those with low literacy skills, often have difficulty estimati... more Chronically ill people, especially those with low literacy skills, often have difficulty estimating portion sizes of liquids to help them stay within their recommended fluid limits. There is a plethora of mobile applications that can help people monitor their nutritional intake but unfortunately these applications require the user to have high literacy and numeracy skills for portion size recording. In this paper, we present two studies in which the low- and the high-fidelity versions of a portion size estimation interface, designed using the cognitive strategies adults employ for portion size estimation during diet recall studies, was evaluated by a chronically ill population with varying literacy skills. The low fidelity interface was evaluated by ten patients who were all able to accurately estimate portion sizes of various liquids with the interface. Eighteen participants did an in situ evaluation of the high- fidelity version incorporated in a diet and fluid monitoring mobile application for 6 weeks. Although the accuracy of the estimation cannot be confirmed in the second study but
B. M. Chaudry (&) K. Connelly School of Informatics and Computing, Indiana University, 901 E. 10th St., 47408 Bloomington, IN, USA e-mail: [email protected]
K. Connelly e-mail: [email protected]
K. A. Siek Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA e-mail: [email protected]
J. L. Welch Department of Adult Health Nursing, Indiana University Purdue University Indianapolis, 1111 Middle Drive, Nursing E403 Indianapolis, 46202-5107 Boulder, IN, USA e-mail: [email protected]
the participants who actively interacted with the interface showed better health outcomes by the end of the study. Based on these findings, we provide recommendations for designing the next iteration of an accurate and low literacy- accessible liquid portion size estimation mobile interface.
Computing Research Repository, 1999
We prove that a particular pushing-blocks puzzle is intractable in 3D. The puzzle, inspired by th... more We prove that a particular pushing-blocks puzzle is intractable in 3D. The puzzle, inspired by the game PushPush, consists of unit square blocks on an integer lattice. An agent may push blocks (but never pull them) in attempting to move between given start and goal positions. In the PushPush version, the agent can only push one block at a time, and moreover, each block, when pushed, slides the maximal extent of its free range. We prove this version is NP-hard in 3D by reduction from SAT. The corresponding problem in 2D remains open.
Being aware of one's portion sizes is a key component of maintaining a healthy diet, however, it ... more Being aware of one's portion sizes is a key component of maintaining a healthy diet, however, it is difficult for individuals especially low literacy populations to estimate their consumption. Nutritional monitoring applications can help but most of them are designed for people with high literacy and numeracy skills. In this paper, we designed and evaluated six portion size estimation interfaces through a Wizard of Oz based experiment using low-fidelity prototypes with ten varying literacy individuals. The interfaces were designed based on the cognitive strategies adults use for reporting portion sizes in diet recall studies. Participants made correct estimates with interfaces designed for liquid and amorphous foods, but had difficulties with those designed for solid foods. Based on these findings, we provide recommendations for designing accurate and low literacy-accessible portion size estimating mobile interfaces.
Developing a Java software tool for oriented matroids
Journal of Computing Sciences in Colleges, 2000
Challenges in Evaluating Three Assistive Health Applications
Page 1. Challenges in Evaluating Three Assistive Health Applications Katie A. Siek, Stephen E. Ro... more Page 1. Challenges in Evaluating Three Assistive Health Applications Katie A. Siek, Stephen E. Ross, Kay H. Connelly, Janet L. Welch, Danish Ullah Khan, and Beenish Chaudry The Wellness Innovation and Interaction (WII ...
3 Designing a Personal Digital Assistant (PDA) Application to Self-Monitor Diet & Fluid Intake
Advances in Chronic Kidney Disease, 2008
Advances in Chronic Kidney Disease, Volume 15, Issue 2, Pages 207, April 2008, Authors:Janet L. W... more Advances in Chronic Kidney Disease, Volume 15, Issue 2, Pages 207, April 2008, Authors:Janet L. Welch; Kay Connelly; Katie Siek; Josette Jones; Susan M. Perkins; Beenish Chaudry; Laurie Trevino. Journal Home, Register or Login: Password: Auto-Login [Reminder]. ...
Despite the proliferation of mobile health applications, few target low-literacy users. This is a... more Despite the proliferation of mobile health applications, few target low-literacy users. This is a matter of concern because 43% of the United States population is functionally illiterate. To empower everyone to be a full participant in the evolving health system and prevent further disparities, we must understand the design needs of low-literacy populations. In this paper, we present two complementary studies of four graphical user interface (GUI) widgets and three different cross-page navigation styles in mobile applications with a low-literacy, chronically-ill population. Participant's navigation and interaction styles were documented while they performed search tasks using high fidelity prototypes running on a mobile device. Results indicate that participants could use any non-text based GUI widgets but preferred and performed efficiently with large radio buttons. For navigation structures, users performed best when navigating a linear structure, but preferred the features of cross-linked navigation. Based on these findings, we provide some recommendations for designing accessible mobile applications for low-literacy populations.
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Papers by Beenish Chaudry
B. M. Chaudry (&) K. Connelly
School of Informatics and Computing, Indiana University, 901 E. 10th St., 47408 Bloomington, IN, USA
e-mail: [email protected]
K. Connelly
e-mail: [email protected]
K. A. Siek
Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA
e-mail: [email protected]
J. L. Welch
Department of Adult Health Nursing, Indiana University Purdue University Indianapolis, 1111 Middle Drive, Nursing E403 Indianapolis, 46202-5107 Boulder, IN, USA
e-mail: [email protected]
the participants who actively interacted with the interface showed better health outcomes by the end of the study. Based on these findings, we provide recommendations for designing the next iteration of an accurate and low literacy- accessible liquid portion size estimation mobile interface.
B. M. Chaudry (&) K. Connelly School of Informatics and Computing, Indiana University, 901 E. 10th St., 47408 Bloomington, IN, USA e-mail: [email protected]
K. Connelly e-mail: [email protected]
K. A. Siek Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA e-mail: [email protected]
J. L. Welch Department of Adult Health Nursing, Indiana University Purdue University Indianapolis, 1111 Middle Drive, Nursing E403 Indianapolis, 46202-5107 Boulder, IN, USA e-mail: [email protected]
the participants who actively interacted with the interface showed better health outcomes by the end of the study. Based on these findings, we provide recommendations for designing the next iteration of an accurate and low literacy- accessible liquid portion size estimation mobile interface.