Sanitized Prototypes and Cargo Pants:

Sanitized Prototypes and
Cargo Pants:
Design and Evaluation of an
Assistive Application for
Dialysis Patients
Katie A. Siek
Indiana University
SURG Lab
Motivation & Contributions
Plan of Attack
Motivation & Contributions
Plan of Attack
Overview of Application
Future Research
Overview of Application
Future Research
1
Motivation & Contributions
Plan of Attack
Motivation & Contributions
Plan of Attack
Overview of Application
Future Research
Overview of Application
Future Research
Dialysis patients must monitor
their fluid and sodium intake
• 80% of patients do not restrict
their dietary intake (Betts 1998,
Welch 2001)
• 1/3 of dialysis patients cannot
perform simple calculations
(Evans 2004)
• Paper diaries have 11%
compliance rate (Stone 2002)
• Electronic diaries have 94%
compliance rates (Stone 2003)
2
Current nutrition applications
are not sufficient
We need…
• mobile application
• save intake information
• respond to varying skills
• account for varying
visual acuity
Can we create a usable
application for dialysis patients?
• Discussions with nurses showed
patients have varying
– Literacy levels
– Computer skills
– Visual Acuity
– Dexterity
• My experiences showed patients
– Rarely used computers
– Intimidated by PDAs
– Available only during dialysis
http://myhealth.ucsd.edu/HealthTopics/kidney/kidney_relatedNews.htm
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
3
Our solution is an assistive
application for dialysis patients
UPC to
food
Nutritional
information
updated
UPC
read
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 (To Appear - 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 (To Appear - 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
4
Our results showed the user
groups can use PDAs
Healthy 25-30 Years Old (n=10)
vs
Healthy 75-85 Years Old (n=10)
• No difference in performance
for button press and voice
recording tasks
(T 18 = 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)
Healthy 75-85 Years Old (n=10)
vs
Dialysis Participants (n=10)
• 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)
• Older scanned items more
• Baracoda pen not usable
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
H20
- Discuss attitudes towards
technology
Na
- Learn about how they
think/organize food
- Test initial ideas on how to
organize food and present
information
?What if
.5 liter of 1 L used
.1 g of 2 g used
Pride and Prejudice. Katie A. Siek, Kay H. Connelly, and
Yvonne Rogers. In Proceedings of CHI 2006 (To Appear).
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 (To Appear).
N=8
5
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
Warning!
Your sodium levels are
near your daily limit
• Participants understood warnings
OK
Pride and Prejudice. Katie A. Siek, Kay H. Connelly, and
Yvonne Rogers. In Proceedings of CHI 2006 (To Appear).
N=8
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)
We learned more about user studies
in non-traditional environments
• Environmental Factors
– Know the rules & regulations
– Visit the site
– Be mindful of safety
• Participant’s Ability
– Be aware of comfort
– Take sensitivities into account
– Dress appropriately
• Time Management
– Design adaptable studies
– Multitask
Lessons Learned Conducting User Studies in a Dialysis Ward. Katie A. Siek and Kay H.
Connelly. In Extended Abstracts of CHI 2006: Workshops - Reality Testing (To Appear)
6
Our higher level results
Patient uses
DIMA
Create/modify
functionality
Patient gives
feedback
• Design methods for integration
• Create design guidelines
• A framework for non-traditional
user study evaluation
Help people conduct their research
Evaluate assistive applications in
non-traditional environments
Health
Care
HCI
Create complex databases with
quicker access for mobile devices
Improve mobile access and realtime feedback
HW
CS
DB
Sys
Design hardware to test compliance
Evaluate assistive applications in
non-traditional environments
Develop models for introducing
technology to various populations
Cog
Eth
Design
Health
Care
Create design guidelines
HCI
HW
App
Testers
CS
Refine framework for user studies
in non-traditional environments
DB
Sys
Look at cognitive interactions with
technology of underserved and
chronically ill populations
7
Evaluate assistive applications in
non-traditional environments
Diet
Cog Soc
Nurses
Eth
Design
Health
Care
Clin
HCI
HW
App
Testers
CS
DB
Sys
Develop applications to empower
patients through self education
Create performance support
systems for health care workers
Develop applications for
emergency response teams
Study group interactions between
interdisciplinary groups
Questions?
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