• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2001.05a
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• pp.15-19
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• 2001

This paper describes effectiveness and characteristics of 3 P(point) task analysis as a new Ergonomic and Kansei design method for extracting user demand especially. The key point in 3 P task analysis is to describe the flow of tasks and extract any problems in each task. A solution of a problem means a user demand. 3 P task analysis cal eliminate an oversight of check items by examining the users' information processing level. The suers' information processing level was divided into the following three stages for problem extraction: acquirement of information ---> understanding and judgment ---> operation. Three stages has fourteenth cues such as difficulty of seeing, no emphasis, mapping for extracting problems. To link analysis results to the formulation of a product concept. I added a column on the right side of the table for writing the requirements (user demand) to resolve the problems extracted from each task. The requirements are extracted by using seventh cues. Finally 3 P task analysis was compared with group interview to make the characteristics of 3 P task analysis, especially extracting user demand, clear.

• Korean Journal of Psychosomatic Medicine
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• v.15 no.2
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• pp.100-106
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• 2007

Objectives : The objective of the present study was to investigate alexithymia in major depressive disorder(MDD) and subclinical depression(SCD). Methods : Three hundred eighty-six community-dwelling adults(238 females and 148 males, age 19-79; mean age $43.0{\pm}13.9$) were recruited. Structured clinical Interview for DSM-IV(SCID) was conducted for the diagnosis of MDD or other Axis I psychiatric disorders. The Center for Epidemiological Studies for Depression Scale(CES-D) and the Totonto Alexithymia Scale(TAS) were administered to assess depressive symptom and alexithymia, respectively. Among subjects without MDD, those who had minor depressive disorder on the SCID or high scores(i.e. over 16) on the CES-D were defined as subjects with SCD. TAS total score and factor I, II, III scores of TAS in MDD, SCD, and non-depressive controls were compared. Results : Among 386 subjects, 38 subjects(9.8%) were diagnosed as MDD by DSM-IV criteria, while 57 subjects(14.8%) were classified into SCD group. There were significant differences between 3 groups(MDD, SCD and non-depressive controls) in total score($F_{2,383}=14.0$, p<0.01), factor I(difficulty in identifying feeling)($F_{2,383}=23.4$, p<0.01) and factor II(difficulty in describing feeling)($F_{2,383}=7.8$, p<0.01), but not factor III(external oriented thinking)($F_{2,383}=1.8$, p=0.16) of TAS. In post-hoc analysis, both MDD subjects and SCD subjects had higher scores in TAS total, factor I and factor II, compared to non-depressive controls(all p<0.01). In contrast, there were no significant differences between MDD subjects and SCD subjects in any TAS factor. Conclusion : In this study, both MDD subjects and SCD subjects were more alexithymic than non-depressive control subjects. These findings suggest that SCD, as well as MDD, is also related to alexithymia.