My research addresses three areas ? ? What if 1. Integration of technology into patients’ lives 2. Designing interfaces for people with varying skills.

Slides:



Advertisements
Similar presentations
Testing Relational Database
Advertisements

Point of Sale (POS) Client & Back Office Server. Operational Concept What is our Objective? What is our Objective? What are our Goals? What are our Goals?
There are many types of computers including:
Physical Development in School-Age Children Physical Growth of the Body Development of Motor Skills Health Nutrition Safety.
Design and Evaluation of an Assistive Application for Dialysis Patients Katie A. Siek Advisor: Kay H. Connelly Indiana University, SURG Lab Subject Areas:
Copyright 1999 all rights reserved The HCI Design Process n User Interfaces are not just built by sitting down and drawing up designs for them n Just like.
1 CS 501 Spring 2002 CS 501: Software Engineering Lecture 11 Designing for Usability I.
Computer Training for Elders.  We make some assumptions about who you are: ◦ You are interested in using a computer for a few basic tasks (to begin with)
Web E’s goal is for you to understand how to create an initial interaction design and how to evaluate that design by studying a sample. Web F’s goal is.
Cognitive Walkthrough More evaluation without users.
Biometrics and Usability The User and Biometric System Uncertainty Mary Theofanos International Workshop on Usability and Biometrics June , 2008.
Location Based Social Networking For All Presenter: Danny Swisher.
AN OVERVIEW BY JAMIE STARKE The Role of Prototyping.
1 of 622 April 2006Melissa Dawe, CHI 2006 Workshop Designing a Remote Communication System with and for Individuals with Cognitive Disabilities and their.
CS CS 5150 Software Engineering Lecture 12 Usability 2.
Senior’s Digital Assistant (SDA) By: Soumya Bhatt Ajay Cattungal Chin S. Chu.
COMP106 Assignment 2 Proposal 11. The Choice of Metaphor The metaphor that I am going to chose is the library. I have decided to use this metaphor because.
Jesper Kjeldskov & Jan Stage Department of Computer Science Aalborg University Denmark New Techniques for Usability Evaluation of Mobile Systems.
Fat Finger Worries: How Older and Younger Users Physically Interact with PDAs Katie A. Siek, Yvonne Rogers, & Kay Connelly Indiana University.
1 CS 430 / INFO 430 Information Retrieval Lecture 24 Usability 2.
Feedback from Usability Evaluation to User Interface Design: Are Usability Reports Any Good? Christian M. Nielsen 1 Michael Overgaard 2 Michael B. Pedersen.
Your Interactive Guide to the Digital World Discovering Computers 2012.
Project Review Senior Citizens Personal Mobile Assistant Team Number 8 Gauri Tikekar (7749) Madhuri Murlikrishnan (0719) Siddharth Adelkar (6271) (On Campus.
Introduction to Medical Informatics
SmartSenior Angela Gong, Joanie Hollberg, Maggie Skortcheva, Rassan Walker.
FOOD LABELS Ashley Benbow-Scarborough. Content Area: Health/Wellness Grade Level: 7 Summary: The purpose of this instructional PowerPoint is to help students.
Methods of Dietary Assessment. Dietary Assessment It is almost impossible to give guidelines for the ideal diet. Why? Ideal diet depends on many factors:
ECSE 604: Early Literacy and Augmentative Communication, Summer 2015 Day 4: June 17 th, 2015.
“Come on! Give me ten!” What users really want and really do on library web sites Darlene Fichter OLA Super Conference 2003.
Should be on Up to hear patient button presses Down to mute. In either case the #1 and #2 lights should light with each button press. Leave the 5 to the.
“What a Small World!” ---NaviChat Team 4: Andrew Puchle Arthur Liu Yi-Jen Lai.
Design of a device to assist with repetitive questions in patients with Alzheimer’s Disease (AD) Contact Information: Kirstie Hawkey PhD Candidate Faculty.
Seeking and providing assistance while learning to use information systems Presenter: Han, Yi-Ti Adviser: Chen, Ming-Puu Date: Sep. 16, 2009 Babin, L.M.,
ACTIVITY. THE BRIEF You need to provide solid proof to your stakeholders that your mobile website meets the needs of your audience. You have two websites.
1 SWE 513: Software Engineering Usability II. 2 Usability and Cost Good usability may be expensive in hardware or special software development User interface.
Kyle Dorman, Marjan Yahyanejad, Ani Nahapetian, Myung-kyung Suh, Majid Sarrafzadeh, William McCarthy, William Kaiser University of California, Los Angeles.
Evaluating Your Prototype with Users Class 30. Agenda 3:00-3:05 Announcements 3:05-3:50 Evaluation with Users.
DMS 546/446 INTERFACE DESIGN AL LARSEN – SPRING 2008 PAPER PROTOTYPING Lecture draws from multiple sources, including: Jakob Nielsen, Shawn Medero (
1 Interacting with your computer Chapter 3 Mailto: Web :
Computer Terminologies and Concepts COMPUTER HARDWARE TECHNOLOGY F 1020.
The Big Question  Can playing Wii adjust your pulse?  Does it matter if you are older?  Does it matter what game you play? Explanation: I want to test.
11.10 Human Computer Interface www. ICT-Teacher.com.
Christina M. Lirot, Diane Cessna, and Kay H. Connelly Computer Science Department, Indiana University Bloomington, Indiana Stage One The first stage.
Operating Systems. Without an operating system your computer would be useless! A computer contains an Operating System on its Hard Drive. This is loaded.
Heuristic evaluation Functionality: Visual Design: Efficiency:
Halliday James Cognitive Support Technologies Task Prompting Audio/Visual Scheduling Travel Training Non text Simple desktops Emergency location.
Slides for User interface design A software engineering perspective Soren Lauesen 2. Prototyping and iterative design August 2006 © 2005, Pearson Education.
COMP5047 Pervasive Computing: 2012 Think-aloud usability experiments or concurrent verbal accounts Judy Kay CHAI: Computer human adapted interaction research.
Usability Assessment Methods beyond Testing Chapter 7 Evaluating without users.
Longitude Usability Study Final Presentation Amir Malik Fiel Guhit Viet Pham Sabel Braganza.
User Interface Design & Usability for the Web Card Sorting You should now have a basic idea as to content requirements, functional requirements and user.
Nutrition Monitor Andrew Guthrie: Chun Yen: Rob Akbarian: Vicki Jones:
Computers in the Library A database application. Input and Output Devices Input Keyboard Mouse Scanner / light pen Output VDU / screen / monitor Printer.
Summary of “Towards Mobile Accessibility for Older People: A User Centered Evaluation” HCC 741 ASSISTIVE TECHNOLOGY AND ACCESSIBILITY FALL 2014 HYE-KYUNG.
Technology and Aging Eileen Wood. Why should we be talking about computers and aging? Social connections Independence Cognitive Skills.
Users and the Interface When designing an information system you need to have a clear idea of who the target audience is. If the target audience is an.
How Much Should I Eat?. It’s not important that you know every nutrient in every food you eat. The Food Pyramid was created to help you eat healthy and.
Choreography Assistant Human Computer Interaction - April 6, 2004 Choreography Assistant.
Evaluation / Usability. ImplementDesignAnalysisEvaluateDevelop ADDIE.
Reading and Understanding Food Labels 1 Mrs. Reed's Family and Consumer Sciences.
School of Engineering and Information and Communication Technology KIT305/607 Mobile Application Development Week 7: Usability (think-alouds) Dr. Rainer.
Discovering Computers 2009 Chapter 1 Introduction to Computers.
11.10 Human Computer Interface
Creating a Healthy campus and Adopting Healthy Eating Habits.
Technology in Physical Education: MyFitnessPal
Human Computer Interface Prototype
The Role of Prototyping
Tutorial Introduction to help.ebsco.com.
Presentation transcript:

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

Some of the tasks

DexterityVision 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., 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 (T 18 =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 (T 18 =3.37, p=0.002) and icon size they could actually see (T 18 =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 (T )

Socket SDIO ScannerBaracoda 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 (T )

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 Years Old (n=10) vs Healthy Years Old (n=10) vs Dialysis Participants (n=10) No difference in performance for button press and voice recording tasks (T 18 = 0.787, p = 0.442, T 18 ≤ 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 H20H20 ? ? 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 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 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 (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 consumed When 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. 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 consumed When 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.

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 consumed When 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.

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 consumed When 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.

80% of usability problems are uncovered with 5 participants 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, Santa Monica, CA: HFES. Virzi, R. A. (1992). Refining the test phase of usability evaluation: How many subjects is enough? Human Factors, 34, 4,