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1
QQ Emoticon ToolQR TEAM
Ann Fan Aiur Sylvia Sam Olivia
2
AgendaIntroduction
Identify Emoticons
Validation
Analysis and Reporting
3
BASIS APPROACH
Introduction
4
The professor of psychology department in Beijing University Wang Dengfeng adapted the Big Five of personality model into Big Seven in Chinese context with definition of more delicate expression of Chinese citizens.
We chose the QQ Emoticon based on the scientific rational behind the QQ Emoticon design which will be analyzed in the literature review part in detail.
Introduction Basis
5
Survey
Pilot Test
Excel sorting
Affinity Diagram by the descriptors
Focus group for emotion detection and emoticon selection
QQ Emoticon pre-selection
Literature review
IntroductionApproach
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LITERATURE REVIEW FOCUS GROUP
Identify Emoticons
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► The design of QQ Emoticon based on scientific research
◊ Culture Japanese scholar Tomoko Koda and Holland scholar mentioned in Cultural Differences in Using Facial Parts as Cues to Recognize Emotions in Avatars
◊ Behavior Liu Xiaoyan combined methods of questionnaire and experiment to study the recognition difference between westerners and easterners, and the influence of picture attribute on picture recognition.
◊ Psychological Study of Smilies Online with geographical perspective, shows that QQ Emoticon accords with Gestalt psychology, human imagination and visual law.
► The large user base of QQ Emoticon
◊ iResearch survey except for the text message, Emoticon has become the most widely used function while chatting. 51.7% of the respondents use emoticon very often
Identify Emoticons Literature review
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► Research questions
◊ What emotions do users experience/not experience and why?
◊ What emotions are most/least important and why?
◊ What is the emoticon most suitable for representing their major emotions?
Identify Emoticons Focus group
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► Participant Profile
Participants were recruited and assembled to cross-represent criteria including:
◊ Age
◊ Gender
◊ Major
◊ Use of productivity software
◊ Gmail, Dropbox, Keynote, Pages, Evernote……
Identify Emoticons Focus group
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►Focus group preparation
Identify Emoticons Focus group
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►Focus group preparation
Identify Emoticons Focus group
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►Focus group preparation
Identify Emoticons Focus group
13Identify Emoticons
► Focus group design
Before the focus group we asked each individual to: identify a piece of software they have a positive experience and a piece of software they have a negative experience; the reasoning for these experiences; and the emotions experienced
Focus group
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► Focus group design
At the beginning of the focus group we got people to talk about their positive and negative experiences with software and the emotions experienced
Identify Emoticons Focus group
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► Focus group design
3. Using the 54 basic QQ emoticons we selected, we asked the participants to
① Pick out the emoticons they think that can represent their emotions that are experienced during the use of software
② Remove the emoticons that cannot represent their emotions they have experienced
Identify Emoticons Focus group
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► Focus group design
③ Categorize the emoticons they have picked out as either positive or negative
Identify Emoticons Focus group
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► Focus group design
④ Create clusters of related emoticons
⑤ Give a descriptor for each clusters they have created
Identify Emoticons Focus group
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► Focus group design
⑥ Rank the clusters of the emoticons by the importance of the emotions they have experienced
⑦ Select one QQ emotion in each of the clusters that they think can represent that cluster.
Identify Emoticons Focus group
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Data Analysis
◊ Method 1—Affinity Diagram by the descriptors
Identify Emoticons Focus group
20
Data Analysis
◊ Method 1—Affinity Diagram by the descriptors
开心 困惑
享受
满意
烦躁得意
愤怒
吃惊忧伤
感动 动力
死都学不会
呵呵
困惑
享受满意
烦躁
得意
愤怒
吃惊
忧伤
开心困惑
享受
满意
烦躁
得意愤怒
忧伤
吃惊
Identify Emoticons Focus group
21
Data Analysis
◊ Method 2—Excel screening
Identify Emoticons Focus group
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Data Analysis
Identify Emoticons Focus group
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Data Analysis
Combine Method 1& 2
Identify Emoticons Focus group
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Result
Identify Emoticons Focus group
开心
困惑 满意
烦躁 得意
愤怒
忧伤
25
Validation
PILOT TEST SURVEY
26
approval
happy
complacent; proud; cool
angry; furious
confused
Tortured; crazy
sad
We showed the 7 emoticons to 5 users, who are of the same age of our target. Participants were asked to write 2-3 words to describe the emotion of each emoticon
Validation Pilot Test
27
► Develop Questions
◊ For each of the seven emotions, we asked the respondents that to what degree they feel the emotion mentioned in the question, using the emoticon instead of words.
◊ In addition, we also created one question around expectations.
Develop Scale/ Response
◊ Quantitative
4-point Likert Scale
Agree Strongly Disagree
Strongly Agree Disagree
◊ Qualitative
follow-up explanation
Validation Survey
28
1. 请问您使用过手机 QQ 邮箱 APP 吗?a. 使用过 b. 没使用过2. 请在下列选项中,选出最符合您使用手机 QQ 邮箱APP 的使用感受的陈述;并请陈述原因。a. 超出期待 b. 符合期待 c. 没有达到期待请陈述原因: 3. 您在使用手机 QQ 邮箱时,心情是 并请说明原因。 a. 很同意 b. 同意 c. 不同意 d. 很不同意请陈述原因: 4. 您在使用手机 QQ 邮箱时,心情是 并请说明原因。 a. 很同意 b. 同意 c. 不同意 d. 很不同意请陈述原因:
…………
Validation Survey
► Deliverable Survey
29
Analysis and Reporting
30Analysis and Reporting
Datasheet for “expectation” responsesTotal participants 22
Condition Count PercentageExceeded expectations 3 14%
Met expectations 17 77%
Not met expectations 2 9%
1. List the info about Expectations on this sheet.
2. Enter the total number of participants in the top cell.
3. Count refers to the number of person who selected each of the expectation conditions.
4. The Percentage column calculates the percentage of participants choosing that condition.
5. Either chart below could help communicate the results.
31
Analysis and Reporting
Exceeded expectations
Met expecta-tions
Not met expec-tations
0
2
4
6
8
10
12
14
16
18
3
17
2
Expectations
# o
f R
espondents 14%
77%
9%
Expectations (% of Respondents)
Exceeded expec-tations
Met expectations
Not met expecta-tions
32Analysis and Reporting
1. List the info about the Emoticons on this sheet.
2. Enter the total number of participants who either chose Agree or Strongly Agree for each emoticon in the Count column.
3. The Percentage column calculates the percentage of participants who fell like the emoticons.
4. Either chart below could help communicate the results.
Datasheet for enterting “emoticon” information
Total participants 22EM Tool Emoticons Count PercentagePart Ba 13 59%Part Bb 14 64%Part Bc 11 50%Part Bd 6 27%Part Be 6 27%Part Bf 6 27%Part Bg 5 23%
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Analysis and Reporting
Part Ba Part Bb Part Bc Part Bd Part Be Part Bf Part Bg0
2
4
6
8
10
12
14
16Emoticons
# o
f R
espondents
59%
64%
50%
27%
27%
27%
23%
Emoticons
Part Ba Part Bb Part Bc Part BdPart Be Part Bf Part Bg
34
Thank you!QR Team & Ppts