Week 4 User Study Flashcards

1
Q

Why Do a User Study?

A

Best way to learn about your design

Get feedback from users

Learn about things you had not
considered

Understand users, and what they
want/need from your design

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2
Q

Types of Data

A

Quantitative and Qualitative

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3
Q

What is Quantitative Data?

A

Expressed as numbers (size,
magnitude, amount)

Measurable, statistics

Can test specific
characteristics or
hypotheses

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4
Q

What is Qualitative Data?

A

Detailed descriptions,
subjective, “rich”

Represents themes, patterns,
stories

Can be observed but not
measured

Open-ended enquiry

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5
Q

Comparison of Qualitative VS Quantitative Examples

A

Quantitative
* Number of clicks
* Performance scores
* Task durations in seconds
* Likert scale responses
* Number of successful trials
* Number of computers you own

Qualitative
* Explanation of why someone chose an item
* Description of a process
* Story describing someone’s experiences with
technology
* Someone’s understanding of how a system
works
* Area of expertise
* Favourite operating system

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6
Q

Subjective data

A

an individual’s opinion, preference, experience, or judgment; not from some external measure.

Quantitative: The user rates this system
8/10 for ease of use
Qualitative: The user thinks computers are
too expensive

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7
Q

Objective data

A

‘external to the mind’ and concern facts and measurements.

Quantitative: The user took 45 seconds to
complete the task
Qualitative: The user owns an Apple phone

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8
Q

Data Gathering How to?

A

Ask the user: Questionnaire, Interview
Observe interaction: Direct observation, Think aloud, Co-discovery learning
Measure performance: Time, Physiological data, #errors

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9
Q

Questionnaire: Design Considerations?

A

Responses can be influenced
by order of questions

Provide clear instructions

Balance between whitespace
and being compact

Wording is very important (Negative, positive, neutral)

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10
Q

Questionnaire Types:

A

Multiple Choice, Likert Scale, Semantic, Open-Ended

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11
Q

“Conversations with a Purpose” - Pros and Cons

A

Pros:
excellent for pursuing specific issues,

address specific questions of interest,

more flexible than questionnaires,

Cons:
accounts are subjective,
prone to rationalization,
time consuming to conduct and
to analyze,
participants may have difficulty,
evaluator can bias the interview,

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12
Q

Interview Types

A

Structured
Unstructured
Semi-structured

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13
Q

Unstructured

A

More like a conversation, can often go into depth

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14
Q

Semi-structured

A

Some pre-determined directions but
flexible as situation evolves

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15
Q

Structured

A

Pre-determined set of questions
* Aka, a standardized interview

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16
Q

Focus Groups (Group Interviews) and Pros and Cons

A

2 – 10 people interviewed
at one time
A skilled moderator is critical
Usually recorded

+ can accommodate diverse
and sensitive issues
+/- opinions developed within
a social context
+ good way to identify
“proto-users”
- some interviewees may
dominate

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17
Q

Direct Observation

A

User is given the task
* and evaluator just watches
the user without interruption

Problem
* no insight into the user’s
decision process, opinion…

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18
Q

Think-Aloud

A

Most widely used method in
industry

User are asked to say what
they are thinking/doing

Gives insight into what the
user is thinking

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19
Q

Think-Aloud Problems

A

Awkward for the user

“Thinking” about it may alter
the way people perform their
task

Hard to talk when
concentrating on task

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20
Q

Co-discovering Learning

A

Normal conversation
between the two
users

Removes
awkwardness

Provides insights

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21
Q

Recording Observations Techniques

A

Paper and pencil (or laptop)
Audio recording
Video recording

22
Q

Recording Observations - Pros

A

Possible to do in a real-life
context or in a lab

Rich data

See what’s happening for
yourself

23
Q

Recording Observations - Cons

A

Observer’s presence can
disrupt work

Can be difficult to analyze or
reproduce

Potentially time-consuming

24
Q

Performance Data

A

Timestamps, timing
User clicks, selections, data
entries
Scores
Task outcomes
Data capture

25
Physiological Data
Eye-tracking Heart rate, breathing rate ECG (cardio), EEG (brain) Skin conductance Motion Requires specialized equipment
26
Types of Study
Laboratory Field Web Extra: Crowd-Sourced Study
27
Lab-Based/Controlled Study
Characteristics * Controlled environment * Direct observation Used for * Measuring performance & improvements * Discovering usability problems * Gaining confidence of design before riskier testing Potential Drawbacks * Realism can be difficult to achieve * Novelty effects (hey, this is cool!)
28
Field Study
Characteristics * Deployed in regular setting * Maybe more ecologically valid * More expensive and time-consuming Used for * Evaluate real-world usage * Gather long-term data Potential Drawbacks * Riskier for security, privacy, reliability perspectives * Influenced by outside factors, unsupervised * Data much more “messy
29
Web-Based/Remote Study
Characteristics * More natural setting * Uncontrolled (realistic) environment * Can prompt to complete tasks, screenshare, videoconference Used for * More convenient than lab studies * Middle ground between lab and field studies Potential Drawbacks * More difficult to observe * Technical challenges
30
Crowd-Sourced Study
Characteristics * Fast and cheap data collection through online crowdsourcing Used for * Quickly gathering large amounts of data * Studies that can be broken into small tasks Potential Drawbacks * Data quality/reliability * Need fully automated study protocol
31
Triangulation
Explores the same topic in multiple ways * to gather more holistic understanding, increase validity, credibility Uses multiple * Data sources (people, places, times) * Data collection methods * Evaluators Potential Drawbacks * Time-consuming data analysis
32
Usability Testing
Goals & questions focus on how well users perform tasks with the product Comparison of products or prototypes is common Focus is on time to complete task, number & type of errors Data collected by video & interaction logging Testing is central Satisfaction questionnaires & interviews provide data about users’ opinions
33
Experiment
Predict the relationship between two or more variables Independent variable is manipulated by the researcher Dependent variables are what you are measuring Validated statistically & replicable
34
Experiment Design (The two things)
Between-Subjects & Within-Subjects
35
Different Participants / Between-Subjects Design
Each participant is tested on one condition only Pros * No ordering or training effects Cons * Need more participants, * Chance of variations between subjects
36
Same Participant / Within-Subjects Design
Each participant is tested on all conditions Pros * Need fewer participants * Can see variation in performance across conditions per participant * Eliminates variation of participants between conditions Cons * Ordering effects * Training effects
37
Developing a Study Protocol.What is needed/needs to be set up
Type of study Evaluation measures, conditions, instrumentation Tasks, scenarios Scripts and instructions Questionnaires, Interview scripts Hardware and software
38
(Study Protocol) Tasks
Be specific and realistic Use scenarios if possible Ask user to complete tasks
39
(Study Protocol) Instructions and Interaction
Instructions matter, can easily bias user behavior Users help evaluate/test thesystem You are grateful for any feedback – good or bad!
40
(Study Protocol)Instrumentation for Recording User Behavior
Screen recording (e.g., Camtasia) Noldus Observer, Morae Observer Eye-tracking, physiological measures Video
41
(Study Protocol)Instrumentation for Prototypes AS in what to record
Log user actions, timing info Test for accuracy and format of logs! Include testing-specific prompts and messages
42
(Study Protocol)Participants
Representative users How many? 5-10, 20+ for significant experiment Remuneration * What is reasonable? * Do not want to influence behavior
43
Ethical Treatment of Participants
An evaluation can be a distressing experience Participants should always be treated with respect
44
Before the Session (userstudy)
Don’t waste user’s time Make users comfortable Maintain privacy Inform user Users must volunteer
45
University Research Ethics Board
Any research involving humans must be cleared Document the study protocol Document the purpose of study Submitted to the Research Ethics Board
46
How Do We Decide on a Type of Study?
Work backwards from your goals to figure out what you need to do: What are your overall goals at this point? What are the questions you want to answer? What kinds of data do you need to collect? What type of study fits these criteria?
47
1. What are the Study Goals? (Choosing a Type of Study)
What are your overall goals at this point in the process? May be an iterative process May have goals at different levels
48
2. What are the Evaluation Questions? (Choosing a Type of Study)
What are your overall goals at this point in the process? Current study goals What kinds of questions address these goals?
49
3. What Kinds of Data Do You Need? (Choosing a Type of Study)
Qualitative, Quantitative, Performance, all pertaining to specific needs for the type of study. As in what questions do you need to ask to get the data
50
4. What Type of Study Fits these Criteria? (Choosing a Type of Study)
What are the types that fit? Field, Lab, Web, Crowd Source
51
Now What?(Choosing a Type of Study)
On what do you want to focus? Make a specific plan for the user study * Type of study (considering time, resources, expertise) * Protocol * Instruments * Data analysis Realism? * Will results apply in real world? Generalizability? * Will results apply to other situations?