Transcript chp12
Ch. 12 Observing Users
Reece, Rogers, Sharp. Beyond human
computer interaction.
Team 1:Andy, Nikhil, Vladimir, Sajay
12.1 Introduction
Learning Goals
Benefits and challenges
of different methods
How to observe
How to deal with data
Key issues in think-aloud,
diary studies, and
interaction logging
Selecting and doing
observations
Additional Content
Critical Incident
Reporting: A type of diary
observation
CIF: common industry
format
Summative vs Formative
Interaction Logging for the
Web
Uzilla: A tool for web
usability testing by Andy
12.2 Observing in a controlled
environment
i.e., usability testing
Plan user and equipment location.
Test the setup.
Provide participants with a written
consent form and script of the study.
Use think-aloud technique (p. 365) to find
out what participants are thinking.
Observing as an outsider
More objective than participant observation
Lab equipment is in place
Recording is continuous
Analysis & observation almost simultaneous
Care needed to avoid drowning in data
Analysis can be coarse or fine grained
Video clips can be powerful for telling story
Frameworks to guide observation
The Goetz and LeCompte (1984)
framework:
- Who is present?
- What is their role?
- What is happening?
- When does the activity occur?
- Where is it happening?
- Why is it happening?
- How is the activity organized?
Frameworks to guide observation
The Robinson (1993) framework
Space. What is the physical space like?
Actors. Who is involved?
Activities. What are they doing?
Objects. What objects are present?
Acts. What are individuals doing?
Events. What kind of event is it?
Goals. What do they to accomplish?
Feelings. What is the mood of the group and
of individuals?
Participant observation &
ethnography
Must get co-operation of people observed
Informants are useful
Data analysis is continuous
Move backwards and forwards from broad
to specific questions
Collect variety of data
Holistic approach – broad analysis
You need to consider
Goals & questions
Which framework & techniques
How to collect data
Which equipment to use
How to gain acceptance
How to handle sensitive issues
Whether and how to involve informants
How to analyze the data
Whether to triangulate
12.4 Data collection techniques
Notes & still camera
Audio & still camera
Video
Tracking users:
- diaries
- interaction logging
Notes plus still camera
Taking notes
Least technical way
Most feasible way
Could prove a challenge as one has to observe and
listen while taking notes.
Writing skills such as writing speed, use of short
hand could prove useful
One needs to translate and transcribe the written
content into useful information
Other alternative are include another person
in the data collection process; use a laptop
Use a camera to record images
Audio recording plus still camera
Audio recording
Light and easy to carry
Less intrusive than a video camera
Transcribing long interview hours could be a
challenge
Lack of a visual record
Cannot be used in a noisy environment
Video
Captures both visual and audio data
Extremely intrusive
Instruments could be expensive but
digicams/handheld camera are a cheaper
option
One may tend to focus only on what is seen
through the lens and ignore what has been
missed out.
Sound may get muffled when recording under
noisy conditions
Analysis of video data could be very time
consuming.
Lets compare the Data-collection techniques – Table 12.2 page 376
12.5 Indirect Observation
Done when direct observation is not
possible (obtrusive or evaluators cannot
be present)
Tracking users
Diaries
Critical Incidents
Interaction logging
Diaries
Classical paper based or using online forms
linked to database etc.
Participant records what she did and experience
she had while doing the task
Diaries collected from all the participants are
then analyzed
Barry Brown’s research using diarys’ for HP design
framework for devices used to capture or record
information.
http://www.dcs.gla.ac.uk/~barry/papers/Diary%20studychi%20paper.pdf
Advantages
Inexpensive
Subjects could be tested location
independent
Experimenter not required to be present
Large amount of data could be gathered
Disadvantages
Relies on the reliability of the participant
Problem of participant not remembering
actual experience of event (better or
worse)
Subject is the experimenter and hence
variability in data – not much control other
than structures templates to collect
information.
Interaction logging
Record all the interactions of the subject
with the system (key presses, mouse
movements, eye tracking, etc.) combined
with audio and video logs.
Log is time stamped.
Data can be analyzed to understand
cognitive aspects, user behaviors and
reactions to variations in task etc.
Interaction logging - Uses
Useful for web studies.
Testing Web layouts, displays, GUI
interfaces etc.
Understanding the users’ reactions to
variations in tasks and layout
combinations.
Testing the efficiency of the interface and
its ease of use.
Interaction Logging on the Web
Server log file miss
cached pages
To circumvent
Web bugs – useful for
visitors at large
Proxies – ala WebQuilt
http://guir.berkeley.edu
/projects/webquilt/
Instrumented Browsers
Andy’s Uzilla.net
PARC’s WebLogger
Challenges
Inferring user goals
Analyzing paths
Triangulation
Establishing the
magnitude of problems
observed in testing from
log files
12.6 Analyzing, Interpreting, and
Presenting Data
12.6.1 Qualitative analysis to tell a story
Hilight tapes, effective communication
12.6.2 Qualitative analysis for categorization
Advanced linguistic analysis tools
12.6.3 Quantitative Data Analysis
Measure learning, efficiency
12.6.4 Feeding the findings back into design
Picture in a picture highlight tapes
Common Industry Format (CIF)
For summative testing
(later stages in software development)
Subjective and Quantitative Measures
On key tasks
Intended for vendors to communicate
usability
Boeing has adopted for all products and
suppliers
Uzilla: A product suite for web usability
testing
Commercial venture by Andy Edmonds
Overview talk SCIP 2002
Edmonds, K. A. (in press). Uzilla: A new tool for web usability testing. Behavior Research
Methods, Instrumentation and Computers. May, Special Issue of Soc. For Computers in
Psychology.
Automates test design
Instruments data collection
Aggregates results
Free for student projects
Sarah Bly Interview
Unfinished book on non-speech audio in UI
design
At Chi ’03
Visual Support for Conversations: People's Choice
Tutorial, Steve Harrison (Dyxsis D/R Consulting),
Sara Bly (Sara Bly Consulting)
To familiarize the participant with the underlying ideas
and subtle design considerations that make shared
drawing systems essential in many conversational
settings.