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From the course by Georgia Institute of Technology

Introduction to User Experience Design

1028 оценки

Georgia Institute of Technology

Introduction to User Experience Design

1028 оценки

The focus of this course is to introduce the learner to User Experience (UX) Design User Experience design is design that is user centered. The goal is to design artifacts that allow the users to meet their needs in the most effective efficient and satisfying manner. The course introduces the novice to a cycle of discovery and evaluation and a set of techniques that meet the user's needs. This course is geared toward the novice. It is for learners that have heard about "user experience" or "user interface" design but don't really know much about these disciplines. The course mantra is that “Design is a systematic and data driven process.” Design is systematic because it is based on a set of techniques and also on a cycle of discovery. In this course the learner is introduced to the four step user interface design cycle. Along the way learners are exposed to a set of techniques to gather information about a) what the user needs b)how to design and model interfaces based on these and then how to evaluate the design to ascertain that the user's goals are met. These techniques are tools that are used in a standardized manner and give us the data we use in our design. This means that anyone (regardless of their current training) that is willing to learn these techniques and follow the proposed cycle can be a UX designer!

From the lesson

Requirement Gathering

The first step of the design cycle is presented along with techniques that are relevant for understanding the user and tasks. There is also a focus on how to present findings from this phase of the design cycle.

User Results4:46

Presenting Task Findings6:42

Meet the Instructors

Dr. Rosa I. Arriaga
Senior Research Scientist
School of Interactive Computing

[SOUND] Welcome to User Experience Design.

Today we will explore how to present the findings we gathered

about the user during the requirements gathering process.

Interaction design is a cycle.

We've spent a good deal of time learning various requirement gathering techniques

to learn about the problem space.

We've discussed that as designers we provide the best user experience

when we acknowledge that the user uses interfaces to accomplish tasks.

The first step of the design process is to understand how users

are completing the task now.

We have just finished discussing the techniques

that allow us to discover what the user is doing now.

Now we will focus on techniques that will allow us to present, or

in other words summarize our results.

Here we'll assume that the qualitative and

quantitative data has been analyzed in the appropriate manner.

This is another important aspect of the designer training process.

In this lesson, we will discuss techniques for

representing what we discover about the user.

These include descriptive statistics, user characteristic tables and persona.

Descriptive statistic allows us to summarize quantitative information.

This includes the range, mean and median of a data set.

The range tells us what the minimum and the maximum number were for

a set of numbers.

The mean allows us to know the average score for a certain set.

While the median gives us the mid-score for a set of numbers.

Let's say that we collect the data from five participants

on how many times they download information daily.

The range was 3 to 30,

that means one person said they downloaded three different content types.

While there was one that downloaded 30 different items a day.

The mean was 10.2 and and the median was 5.

The median is important because it is less effected by extreme scores.

So even though there was a person that downloaded 30 items and

one that only downloaded three.

The median gives us important information

about the distribution of those five data points.

Characteristics table allow us to highlight

important aspects about what we learn via the requirement gathering process.

It provides a tabular summary of our findings.

In this table we see that we can include both quantitative and

qualitative information.

Quantitative information includes basic demographics, for

example, age, sex and education.

But also a summary of qualitative information,

such as the user's computer experience or their motivation and attitudes.

Thus we provide a quick summary of all of our data in a simple form factor.

The persona provides a narrative of both the qualitative and quantitative data.

It allows us an opportunity to convey the richness of the data set we collected

in the story line.

That highlights all of the important data we collected about the user.

In other words, it allows the user and her needs to come to life.

Here we have a persona for a woman that uses the ATM.

Take a minute to read it.

As you go through it try to identify what data could have been collected

via naturalistic observation, surveys, focus groups or interviews.

Again, the important thing about the techniques I've told you

is that we're getting a summary of all of the data.

You can also make a list of questions that the designer asked in order to get

the narrative that we see here for the woman using the ATM.

In this lesson, we discussed techniques for

representing what we discovered about the user.

These included descriptive statistics, user characteristic tables and personas.

I hope you join us next time when we review techniques for

representing what we learned about the tasks.

[SOUND]

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