The document discusses data gathering and accessibility in Human-Computer Interaction (HCI), emphasizing universal design principles such as equitable use and flexibility. It details various methods of data collection, including task analysis, which involves observing users and mapping workflows to optimize their interaction with products or services. Additionally, techniques for analysis like hierarchical and cognitive task analysis, as well as user surveys and time-motion studies, are highlighted to enhance understanding of user tasks and improve overall user experience.

1. Data Gathering
&
Accessibility
HCI

2. Universal Design Principles
 Equitable Use
 Flexibility In Use
 Simple And Intuitive To Use
 Perceptible Information
 Tolerance For Error
 Low Physical Effort
 Size And Space For Approach And Use

3. Data Collection
Collecting relevant, accurate, and sufficient
data to establish requirements and understand
how users interact with a system
Data gathering can be challenging and time-
consuming.

4. Data Collection

5. Methods of data collection

6. Secondary Data

7. Secondary Data

8. Primary Data

9. Methods of Primary Data Collection

10. Task Analysis
Task analysis is the study of how a user will
complete any certain task successfully.
Task Analysis, a “Task” is referred as a specific
activity or action that is performed by the user
while interacting with a service/application,
product etc.

11. Aspects Of Task Analysis
Understanding user tasks: Task Analysis begins with analysing the
task given to the user or the task user has chosen to complete. It also
involves studying the users’ role in the task, their responsibilities and
their main goal.
Observing the Users: Observing the users thoroughly while they use
that application or prototype is also a crucial step in Task Analysis.
How they are interacting with the elements, which approaches they
are taking, what decisions they make etc. everything is being
observed by the designers.

12. Aspects Of Task Analysis
Workflow Mapping: This is useful to map the workflow or the path
user is taking to solve the problem. This is being done to represent
the approach is a graphical or chart manner which is easier to
understand.
Understanding the Complexity of the Task: Understanding the task
complexity is also a key point to understand the caliber of the user
who is solving that task, and also used to determine the types of
users that would be needed to solve the tasks.

13. Techniques for Analysis
Hierarchical Task Analysis (HTA): Hierarchical Task Analysis
is one of the mostly used techniques used to analyse
complex tasks from the user’s perspective. It is used to
break down a bigger and complex task into smaller and
simple sub-tasks to make a hierarchical structure. It is useful
to understand the entire structure of the task and how
solving each sub-tasks will eventually be used to solve the
complex main task.

14. Task Performance

15. Techniques for Analysis
Cognitive Task Analysis (CTA): CTA is used to analyze the
users’ cognitive ability and the mental strategies to solve a
certain problem.
Activity Diagram: It is another process which is used to
visualize the flow of the activities within a system or a
process. They are helpful in modeling high level and detail
task sequences.

16. Cognitive Task Analysis

17. Activity Diagram

18. Techniques for Analysis
User Surveys and Questionnaires: These are used to directly
gather feedback from the users about a certain product or
service. These feedbacks then can be used to modify the
service or product to make it more useful and user friendly.
Time-Motion Studies: This approach is used to record the
time a user takes to complete a certain activity or task. This
can be useful while understanding the efficiency of the user
and evaluating the task efficiency and workload.

19. User Surveys and Questionnaires

20. Time-Motion Studies