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My research addresses three areas
??What if
1. Integration of technology into patients’ lives
2. Designing interfaces for people with varying skills
3. Conducting user studies in non-traditional environments
Our solution is an assistive application for dialysis patients
UPC read
UPC to food
Nutritional information
updated
Dietary Intake Monitoring Application
Mobile Applications that Empower People to Monitor their Personal Health. Kay H. Connelly, Anne M. Faber, Yvonne Rogers, Katie A. Siek, and Tammy Toscos. In Springer E&I (April 2006).
Our solution is an assistive application for dialysis patients
Icon selected
Nutritional information
updated
Dietary Intake Monitoring Application
Mobile Applications that Empower People to Monitor their Personal Health. Kay H. Connelly, Anne M. Faber, Yvonne Rogers, Katie A. Siek, and Tammy Toscos. In Springer E&I (April 2006).
We tested if dialysis patients could use PDAs and scanners
Goals:
- Compare performance with conventional and unconventional tasks
- Study how the groups physically interact with devices
*Voice recording task not shown
Fat Finger Worries: How Older and Younger Users Physically Interact with PDAs. Katie A. Siek, Yvonne Rogers, and Kay H. Connelly. Interact 2005
I created a proof prototype called Food Updater
• Incorporates scanner and small UPC/Nutrient database
• Keeps track of fluid and sodium consumption
QuickTime™ and aBMP decompressor
are needed to see this picture.
Some of the tasks
Some of the tasks
Dexterity Vision
Dexterity & Coordination
Dexterity & Coordination
We created two applications
Icon Size Task
Recorded preferred icon size, smallest viewable icon, and image preference
Button Press Task
Recorded errors
We used three applications that came with the PDA or scanners
Voice Diary Task
Voice Diary lengths: 1 sec., 5 sec., 10-15 sec.
Recorded how many times it took to successfully voice record message
Scanner Tasks
Scanned three items: book, can, bag
Recorded how many times it took to successfully scan each item
Based on the literature, we predicted…
1. Participants of all ages can press PDA buttons
2. Participants of all ages prefer medium size (10mm or 15mm) icons
3. Participants can record voice messages of various lengths
4. Participants can scan bar codes with some practice
Twenty participants volunteered for the study
Younger
(25-30 years old)
• 2 women, 8 men
• 9 use computers often
• 3 had played with a PDA
• 6 wore glasses
Older
(75-85 years old)
• 5 women, 5 men
• 7 use computers often
• No PDA usage
• All wore glasses
Similar computer experience measured by the amount of applications used
Most participants did not make any mistakes for the button press task
5-Way Navigator
• 16 out of 20 participants made no mistakes
• All participants were confused by the 5-way navigator
• Older male participants worried about “fat fingers”
• PDA held in non-dominant hand
• No significant performance differences (T18=0.787; p=0.442)
There were significant differences in icon preference size
Small PDA Icon (5.29mm)
Young Can See (5.5mm)
Large PDA Icon (7.76mm)
Young Preferred Older Can See (10mm)
Older Preferred (20mm) • Significant differences between
preferred (T18=3.37, p=0.002) and icon size they could actually see (T18=3.25, p=0.004)
• Younger interested in how many icons can fit on a screen
• Older interested in details of image
• Older prefer photographs because more realistic
• Older had glare problems
The voice recording task was an easy task for most participants
• All participants recorded short message in two tries
• All of the younger participants recorded the long message on the first time
• Younger and older participants held the PDA differently
• No performance differences (T18< 0.5, p> 0.3)
Socket SDIO Scanner Baracoda Pen Scanner
Quick review of the scanners
• Press PDA button
• Hold light steady across barcode
• Press scanner button
• Run pen across barcode
The socket SDIO scanning task was slightly frustrating for participants
Older more successful at scanning during first try
Younger more successful at scanning during first try
4 younger and 2 older were able to scan within 3 tries
• Younger participants who practiced scanning book more, scanned bag quicker
• All participants operated PDA with one hand; used thumb to press button
• All participants were confused about what part of barcode to scan
• No performance differences
(T18< 0.9, p> 0.8)
The impossible task - Baracoda Pencil scanning
2 younger and 1 older scanned on first try
Only 3 participants were able to scan chips
No one successfully scanned the soda
• Women had difficulty using the pencil because of their nails
• Participants wanted to see a scanning light
• Participants rested the PDA on the table and used two hands for the pencil and object being scanned
Similar to our predictions, the key findings were…
• No performance difference in button press and voice recording task
• Small differences in preferred icon size - Younger (10mm); Older (20mm)
• Older participants scanned items more, but had the same success rate
Our results showed the user groups can use PDAs
Healthy 25-30 Years Old (n=10)
vsHealthy 75-85 Years Old (n=10)
Healthy 75-85 Years Old (n=10)
vsDialysis Participants (n=10)
• No difference in performance for button press and voice recording tasks (T18 = 0.787, p = 0.442, T18 ≤ 0.5, p > 0.3)
• Younger prefer 5/10mm icons (mean = 5.5mm, s.d. = 1.58mm)
• Older prefer 20mm icons (mean = 18.5mm, s.d. = 6.6mm)
• Older scanned items more
• Baracoda pen not usable
• No difference in performance for button press, voice recording, and scanning tasks
• Chronically ill prefer 18.5mm icons (older prefer 20mm)
• Both groups can read smaller icons (10mm vs. 8.5mm)
Fat Finger Worries: How Older and Younger Users Physically Interact with PDAs. Katie A. Siek, Yvonne Rogers, and Kay H. Connelly. Interact 2005
We conducted a study to evaluate mental models
Goals:
- Find out about eating habits
- Discuss attitudes towards technology
- Learn about how they think/organize food
- Test initial ideas on how to organize food and present information
Na
.5 liter of 1 L used
.1 g of 2 g used
H20
??What if
Pride and Prejudice. Katie A. Siek, Kay H. Connelly, and Yvonne Rogers. In Proceedings of CHI 2006.
People let their pride influence their preferences
• Participants organized food similarly
• Participants preferred an interface that combined designs
• Participants were not able to read their preferred consumption-level icon
• Participants understood warnings
Pride and Prejudice. Katie A. Siek, Kay H. Connelly, and Yvonne Rogers. In Proceedings of CHI 2006. N = 8
People let their pride influence their preferences
• Participants organized food similarly
• Participants preferred an interface that combined designs
• Participants were not able to read their preferred consumption-level icon
• Participants understood warnings
Pride and Prejudice. Katie A. Siek, Kay H. Connelly, and Yvonne Rogers. In Proceedings of CHI 2006. N = 8
Warning!
OK
Your sodium levels are near your daily limit
We studied PDA usage and barcode identification
Goals:
- Teach patients about how to scan food
- Determine when patients scan or voice record foods
- Discover is scanning/voice recording is a useful way to monitor intake
Learn if patients will carry a PDA with them (and return it)
When do we eat?. Katie A. Siek, Kay H. Connelly, Yvonne Rogers, et al. In Proceedings of Pervasive Healthcare 2006. (To Appear)
Participants preferred to voice record what they consumed
• Participants scanned foods not in the open source database• Participants with low literacy needed more instructions• Participants reported more food items than what they
thought they consumedWhen do we eat? Katie A. Siek, Kay H. Connelly, Yvonne Rogers, Paul Rohwer, Desiree Lambert, and Janet L. Welch. Submitted to the First Pervasive Healthcare Conference.
Voice Recording and Barcode Scanning Over Time
-505
1015202530354045
1 2 3 4 5 6 7 1 2 3 4 5 6 7 8 9 10 11 12 13 14Study Day
# of Scans/Recordings
VoiceRecordingScanning
Everything has barcodes!
Learning
N = 6
Participants preferred to voice record what they consumed
• Participants scanned foods not in the open source database• Participants with low literacy needed more instructions• Participants reported more food items than what they
thought they consumedWhen do we eat? Katie A. Siek, Kay H. Connelly, Yvonne Rogers, Paul Rohwer, Desiree Lambert, and Janet L. Welch. Submitted to the First Pervasive Healthcare Conference.
12:00 AM
6:00 AM
12:00 PM
6:00 PM
12:00 AM
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29
Inputs
Timee
Voice Record
Barcode Scan
X Wrong Record
Participants preferred to voice record what they consumed
• Participants scanned foods not in the open source database• Participants with low literacy needed more instructions• Participants reported more food items than what they
thought they consumedWhen do we eat? Katie A. Siek, Kay H. Connelly, Yvonne Rogers, Paul Rohwer, Desiree Lambert, and Janet L. Welch. Submitted to the First Pervasive Healthcare Conference.
12:00 AM
6:00 AM
12:00 PM
6:00 PM
12:00 AM
1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41
Inputs
Timee
Voice RecordBarcode Scan
Back Filling
End Of Study Compliance
X Wrong Record
Participants preferred to voice record what they consumed
• Participants scanned foods not in the open source database• Participants with low literacy needed more instructions• Participants reported more food items than what they
thought they consumedWhen do we eat? Katie A. Siek, Kay H. Connelly, Yvonne Rogers, Paul Rohwer, Desiree Lambert, and Janet L. Welch. Submitted to the First Pervasive Healthcare Conference.
12:00 AM
6:00 AM
12:00 PM
6:00 PM
12:00 AM
1 2 3 4 5 6 7
Inputs
Timee
Barcode Scan
X Wrong Record
80% of usability problems are uncovered with 5 participants
00.10.20.30.40.50.60.70.80.9
1
1 5 10 20
Proportion of Problems Uncovered
Number of Participants in Study
Virzi, R. A. (1990). Streamlining the design process: Running fewer subjects. Proceedings of the Human Factors Society 34th Annual Meeting, 291-294. Santa Monica, CA: HFES.
Virzi, R. A. (1992). Refining the test phase of usability evaluation: How many subjects is enough? Human Factors, 34, 4, 457-468.