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]. ...
... 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 ...
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.
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: bchaudry@umail.iu.edu K. Connelly e-mail: connelly@cs.indiana.edu K. A. Siek Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA e-mail: ksiek@cs.colorado.edu 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: jwelch@iupui.edu 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.
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: bchaudry@umail.iu.edu K. Connelly e-mail: connelly@cs.indiana.edu K. A. Siek Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA e-mail: ksiek@cs.colorado.edu 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: jwelch@iupui.edu 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.
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.
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 ...
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]. ...
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]. ...
... 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 ...
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.
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: bchaudry@umail.iu.edu K. Connelly e-mail: connelly@cs.indiana.edu K. A. Siek Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA e-mail: ksiek@cs.colorado.edu 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: jwelch@iupui.edu 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.
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: bchaudry@umail.iu.edu K. Connelly e-mail: connelly@cs.indiana.edu K. A. Siek Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA e-mail: ksiek@cs.colorado.edu 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: jwelch@iupui.edu 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.
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.
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 ...
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]. ...
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B. M. Chaudry (&) K. Connelly
School of Informatics and Computing, Indiana University, 901 E. 10th St., 47408 Bloomington, IN, USA
e-mail: bchaudry@umail.iu.edu
K. Connelly
e-mail: connelly@cs.indiana.edu
K. A. Siek
Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA
e-mail: ksiek@cs.colorado.edu
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: jwelch@iupui.edu
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: bchaudry@umail.iu.edu
K. Connelly e-mail: connelly@cs.indiana.edu
K. A. Siek Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA e-mail: ksiek@cs.colorado.edu
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: jwelch@iupui.edu
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: bchaudry@umail.iu.edu
K. Connelly
e-mail: connelly@cs.indiana.edu
K. A. Siek
Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA
e-mail: ksiek@cs.colorado.edu
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: jwelch@iupui.edu
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: bchaudry@umail.iu.edu
K. Connelly e-mail: connelly@cs.indiana.edu
K. A. Siek Department of Computer Science, University of Colorado, 430 UCB, 80309-0430 Boulder, CO, USA e-mail: ksiek@cs.colorado.edu
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: jwelch@iupui.edu
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.