Communication Research: Project09

1. 연구의 목적 ¶

. . . .

Database

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 $\overline{X}$ for each elements as 'normal' size (eye, nose, ear, etc.) as a reference tool (for the analysis)

Research question

Is physiognomy reliable for character development (or even for facial judgment in everyday-life)?
correlations between data 2 and 3 set.

Some other purposes

building a database that may link facial characteristics and personalities (for research in Humanities)

System or application development

System that provides:

characteristics or personality vs. digital character provision
digital character provision vs. characteristics or personality

1st phase: prototype

user test (see below application test)

2nd phase: prototype

user test

. . . .

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
  1. if not, why not?
  2. if so, ask the participants:
    1. what are the elements that they used for their judgment? --> data
    2. data may suggest that few characteristics are used in personality judgment
    3. 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
How long does it take to judge one's personalities? participants = general participants
1. 30 sec vs. 1 sec group comparison
2. Are there differences in judgment?
3. Are they correlate with the original data?
Think over the UI elements. . . . .