2.1. 성격과 기질 간의 관계에 대한 유효성 검증 ¶
Database
| demographic | ... | face-elements | ... | HEXACON-data | ||||||||||||||
| ser | gender | ethnicity | age | ... | eye | nose | ear | mouth | extrusion | eye-type | ... | h | E | x | a | c | o | n |
| 1 | 1 | 2 | 21 | ... | 10 | 12 | 3 | 7 | 6 | round | ... | 4.4 | 2.5 | 3.8 | 2.3 | 1.1 | 4.1 | 5.6 |
- demographic data
to obtain generalizability
- face-element categorization
based on physiognomy
29 elements
- personality categorization
based on HEXACON
6 categories in general
each category may have at 7 or more questions
- reference data
physiognomic data which links facial characteristics and personalities
to validate physiognomy
- we need to use
for each elements as 'normal' size (eye, nose, ear, etc.) as a reference tool (for the analysis)
- Is physiognomy reliable for character development (or even for facial judgment in everyday-life)?
- correlations between data 2 and 3 set.
- building a database that may link facial characteristics and personalities (for research in Humanities)
2.2. System development ¶
System or application development
System that provides:
characteristics or personality vs. digital character provision
digital character provision vs. characteristics or personality
1st phase: prototypedigital character provision vs. characteristics or personality
user test (see below application test)
2nd phase: prototypeuser test
. . . . 2.3. Application test ¶
RQ
- Two types of digital character provision
- based on simple-gen suggestion vs. based on detail-gen suggestion
Test
- personality judgment based on 30 sec. observation of digital character
- is personal judgment goes along with database (the reality)? participant = users
- if not, why not?
- if so, ask the participants:
- what are the elements that they used for their judgment? --> data
- data may suggest that few characteristics are used in personality judgment
- use this data in the digital character suggestion
- A. just emphasize few things vs.
- B. use the original database in order to construct the digital character
- which is better? A or B
- A. just emphasize few things vs.
- what are the elements that they used for their judgment? --> data
- if not, why not?
- based on simple-gen suggestion vs. based on detail-gen suggestion
- How long does it take to judge one's personalities? participants = general participants
- 30 sec vs. 1 sec group comparison
- Are there differences in judgment?
- Are they correlate with the original data?
- 30 sec vs. 1 sec group comparison
- Think over the UI elements. . . . .