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HUMAN COMPUTER INTERACTION
AND WEB APPLICATIONS
NEED FINDING
HAMIR BUTT
THEME SELECTION
• Recommender system
• A recommender system or a recommendation system is a subclass of information
filtering system that seeks to predict the "rating" or "preference" a user would give
to an item. They are primarily used in commercial applications.
INTERVIEW
Here is our interview. We used this to gather
information. We asked a variety of users and
asked them questions. The questions related to
the empathy map and had questions in regards
to how the user says, thinks, does and feels.
This then allowed us to break the data down.
RESPONSES
• We interviewed a variety of different users. The users are as follow:
• User 1 (Final Year Accounting Student)
• User 2 (Film Studies Student)
• User 3 (Blogger)
The purpose of asking a variety of different user was because we wanted to get a variety
of answers. This will then allow us to find different needs that cater for a variety of
audiences.
EMPATHY MAPS
They have used
amazon prime
and rotten
tomatoes
Would recommend
to their friend
Filtering genre
function is
good
Knows what
recommender
systems are.
They don’t
like clutter
layouts
Wants good movie
recommendations
Would
recommend to
friends Netflix
Critics rating
don't effect
Know what a
recommender
system is
Recommenders
being biased
Says
Want movies
recommended to
their recently viewed
genre
Would
recommend
Netflix
Wants quick access
to movies
recommended
Random movie
shuffle in different
genres
Thinks
recommender
systems are biased
Recommender
systems are
efficient
Thinks
Frustrated when
random movie shuffle
is not based off
recently viewed
genres
Unpleasant experience with
unable to find what looking
for
Feels
recommender
system can be
clustered
More organised
layout is better
No motivation to use
them after getting bad
movies
recommendations
Critics and ratings
affect their
opinion
Feels movie
recommenders can be a
waste of time sometimes
Feels
Doesn't always
find what they
are looking for
Uses movie
recommender
system time to
time
Has used IMDB,
Netflix,
movies123
Uses Netflix
to watch
movies
Watches movies to get
rid of boredom pass
time
New movies to
preferred genre’s
Does
Knows what
recommender
systems are.
They don’t
like clutter
layouts
Filtering genre
function is good
Would
recommend to
their friend
They have used
amazon prime
and rotten
tomatoes
Watches movies
to get rid of
boredom
Have used movies
recommenders in
past
Use Netflix to
watch movies
Critics and
ratings affect
their opinion
No motivation to use
them after getting
bad movies
Feels movies
recommenders can
be a waste of time
More
organised
layout is better
Random movie
shuffle in
different genres
Movie recommenders
helps find new or
unknown movies in
favourite genre
Thinks recommender
systems are biased
Recommender
system are
efficient
GainPain
Overwhelmed by a
lot of information
on the screen
More robust system
which is consistent in
recommending good
movie
Must watch movie for 40
minutes before writing a
review
More organised
layout is better
Watching a bad movie
with misleading reviews
and wasting precious time
Have used
in the past
Can’t spend too much time
searching for movie because of
small attention span
User-friendly GUI which
provided help if need be
Will be able to view movies on
the same user interface rather
than third party websites
Have used movie
recommenders in
past
Not being able to see
rating or reviews
Recommends movie
based on their recently
watched or added to
watch list
Having to watch same
movie again
Not being able to read
the reviews because the
words are small
POV – POINT OF VIEW
User Need Insight
Final year accountant
student
To be able to find new movies
to watch based on their
recently views
The user wants quick access to movies which are based off their recently viewed. The user would like a system which
allows them to search easily and random movie shuffle. The user had an unpleasant experience as she feels
recommender systems can be bias. It is important to her that critics’ reviews are an option to see before watching a
movie. It is important for the user that they find good movies in a short amount of time.
Film Studies Student To watch different movies and
refine them
The uses needs a movie recommender which is easy to use, can recommends movies based on the genre and
recommends randomly. It is important for the user that the layout is not messy and the movies have critics and
ratings stated with them. However, they want the recommender to recommend different movies every time. It is
important for the user that the recommender is actually helpful because it will aid them with their studies.
Blogger (Expert) To watch different movies
based on suggestions and use
the shuffle function
sometimes.
The user would like an interface that has multimedia which is easy to use that recommends randomly as well as
based on genres they watch. The layout should be simple and easy to navigate. The user also thinks that reviews.
The user also thinks that the popularity of a movie should affect where it stands when it is recommended to the end
user.
HMW – HOW MIGHT WE
3 main points
• How might we make the layout according to the needs of the users?
Prototype different layouts and get feedback from users, and then decide which one is the
best suited and preferred from the majority of the users.
• How might be make recommender systems always recommend a new movie?
Add a function which allows them users to mark a movie as “seen” and a “not interested”
which allows the UI to understand that the user has already seen that movie
• How might we make the GUI user friendly?
Ease of access, help button, and search bar, favourite movies, option to zoom in and out,
create a watch list
QUESTION TIME
THANK YOU

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task1

  • 1. HUMAN COMPUTER INTERACTION AND WEB APPLICATIONS NEED FINDING HAMIR BUTT
  • 2. THEME SELECTION • Recommender system • A recommender system or a recommendation system is a subclass of information filtering system that seeks to predict the "rating" or "preference" a user would give to an item. They are primarily used in commercial applications.
  • 3. INTERVIEW Here is our interview. We used this to gather information. We asked a variety of users and asked them questions. The questions related to the empathy map and had questions in regards to how the user says, thinks, does and feels. This then allowed us to break the data down.
  • 4. RESPONSES • We interviewed a variety of different users. The users are as follow: • User 1 (Final Year Accounting Student) • User 2 (Film Studies Student) • User 3 (Blogger) The purpose of asking a variety of different user was because we wanted to get a variety of answers. This will then allow us to find different needs that cater for a variety of audiences.
  • 6. They have used amazon prime and rotten tomatoes Would recommend to their friend Filtering genre function is good Knows what recommender systems are. They don’t like clutter layouts Wants good movie recommendations Would recommend to friends Netflix Critics rating don't effect Know what a recommender system is Recommenders being biased Says Want movies recommended to their recently viewed genre Would recommend Netflix Wants quick access to movies recommended Random movie shuffle in different genres Thinks recommender systems are biased Recommender systems are efficient Thinks Frustrated when random movie shuffle is not based off recently viewed genres Unpleasant experience with unable to find what looking for Feels recommender system can be clustered More organised layout is better No motivation to use them after getting bad movies recommendations Critics and ratings affect their opinion Feels movie recommenders can be a waste of time sometimes Feels Doesn't always find what they are looking for Uses movie recommender system time to time Has used IMDB, Netflix, movies123 Uses Netflix to watch movies Watches movies to get rid of boredom pass time New movies to preferred genre’s Does Knows what recommender systems are. They don’t like clutter layouts Filtering genre function is good Would recommend to their friend They have used amazon prime and rotten tomatoes Watches movies to get rid of boredom Have used movies recommenders in past Use Netflix to watch movies Critics and ratings affect their opinion No motivation to use them after getting bad movies Feels movies recommenders can be a waste of time More organised layout is better Random movie shuffle in different genres Movie recommenders helps find new or unknown movies in favourite genre Thinks recommender systems are biased Recommender system are efficient GainPain Overwhelmed by a lot of information on the screen More robust system which is consistent in recommending good movie Must watch movie for 40 minutes before writing a review More organised layout is better Watching a bad movie with misleading reviews and wasting precious time Have used in the past Can’t spend too much time searching for movie because of small attention span User-friendly GUI which provided help if need be Will be able to view movies on the same user interface rather than third party websites Have used movie recommenders in past Not being able to see rating or reviews Recommends movie based on their recently watched or added to watch list Having to watch same movie again Not being able to read the reviews because the words are small
  • 7. POV – POINT OF VIEW User Need Insight Final year accountant student To be able to find new movies to watch based on their recently views The user wants quick access to movies which are based off their recently viewed. The user would like a system which allows them to search easily and random movie shuffle. The user had an unpleasant experience as she feels recommender systems can be bias. It is important to her that critics’ reviews are an option to see before watching a movie. It is important for the user that they find good movies in a short amount of time. Film Studies Student To watch different movies and refine them The uses needs a movie recommender which is easy to use, can recommends movies based on the genre and recommends randomly. It is important for the user that the layout is not messy and the movies have critics and ratings stated with them. However, they want the recommender to recommend different movies every time. It is important for the user that the recommender is actually helpful because it will aid them with their studies. Blogger (Expert) To watch different movies based on suggestions and use the shuffle function sometimes. The user would like an interface that has multimedia which is easy to use that recommends randomly as well as based on genres they watch. The layout should be simple and easy to navigate. The user also thinks that reviews. The user also thinks that the popularity of a movie should affect where it stands when it is recommended to the end user.
  • 8. HMW – HOW MIGHT WE 3 main points • How might we make the layout according to the needs of the users? Prototype different layouts and get feedback from users, and then decide which one is the best suited and preferred from the majority of the users. • How might be make recommender systems always recommend a new movie? Add a function which allows them users to mark a movie as “seen” and a “not interested” which allows the UI to understand that the user has already seen that movie • How might we make the GUI user friendly? Ease of access, help button, and search bar, favourite movies, option to zoom in and out, create a watch list