The course covers techniques for realising human-centred information systems. Specifically, methods related to the quantification
of human sensitivity and emotions, and the measurement, analysis and modeling of human behaviour. In addition, case studies
of systems and interaction methods that utilise this information are discussed.
In this course, students acquire knowledge for measuring and analysing human sensitivities, emotions and behaviour, considering
psychological and physiological aspects, as a basis for designing and developing human-centred systems. In addition, students
will learn basic directions, applied technologies and case studies related to human-centred information systems.
- Be able to explain the methods involved in quantifying human sensitivities and emotions and measuring human behaviour
- Be able to analyse quantified human sensitivities/emotions and measured behaviour using appropriate methods
- Be able to explain methods for modelling human sensitivity, emotion and behaviour
- Be able to explain examples of systems and interaction methods that utilise information on human sensitivity, emotion and/or behaviour
| Quiz | Report | Oral presentation | Total. | |
|---|---|---|---|---|
| 1. | 5% | 15% | 5% | 25% |
| 2. | 5% | 15% | 5% | 25% |
| 3. | 5% | 15% | 5% | 25% |
| 4. | 0% | 0% | 25% | 25% |
| Total. | 15% | 45% | 40% | - |
| Class schedule | HW assignments (Including preparation and review of the class.) | Amount of Time Required | |
|---|---|---|---|
| 1． | Sensitivity assessment method | Before lecture: Read the handouts in advance and research basic concepts and keywords. | 60minutes |
| After lecture: Deepen understanding of the characteristics of each sensitivity assessment method by referring to the handouts. | 60minutes | ||
| 2． | Emotion assessment and estimation | Before lecture: Read the handouts in advance and research basic concepts and keywords. | 60minutes |
| After lecture: Deepen understanding of the characteristics of each emotion assessment and estimation method by referring to the handouts. | 60minutes | ||
| 3． | Measuring and quantifying behaviour | Before lecture: Read the handouts in advance and research basic concepts and keywords. | 60minutes |
| After lecture: Deepen understanding of the characteristics of each measurement and quantification method by referring to the handouts. | 60minutes | ||
| 4． | Analysis of subjective evaluation data 1 (factor analysis) | Before lecture: Read the handouts in advance and research basic concepts and keywords. | 30minutes |
| After lecture: Analyse the subjective evaluation data based on the handouts. Also summarise the results of the analysis in the form of a report. | 90minutes | ||
| 5． | Analysis of subjective evaluation data 2 (visualisation) | Before lecture: Read the handouts in advance and research basic concepts and keywords. | 30minutes |
| After lecture: Analyse the subjective evaluation data based on the handouts. Also summarise the results of the analysis in the form of a report. | 90minutes | ||
| 6． | Analysis of subjective evaluation data 3 (modelling using quantification theory) | Before lecture: Read the handouts in advance and research basic concepts and keywords. | 30minutes |
| After lecture: Analyse the subjective evaluation data based on the handouts. Also summarise the results of the analysis in the form of a report. | 90minutes | ||
| 7． | Analysis of subjective evaluation data 4 (modelling using machine learning) | Before lecture: Read the handouts in advance and research basic concepts and keywords. | 30minutes |
| After lecture: Analyse the subjective evaluation data based on the handouts. Also summarise the results of the analysis in the form of a report. | 90minutes | ||
| 8． | Student presentations of papers (1) | Before lecture: Read the assigned paper in advance to get an overview. Presenters should prepare materials. | 60minutes |
| After lecture: Deepen understanding of the claims and contributions of the paper based on the Q&A session and discussion. | 60minutes | ||
| 9． | Student presentations of papers (2) | Before lecture: Read the assigned paper in advance to get an overview. Presenters should prepare materials. | 60minutes |
| After lecture: Deepen understanding of the claims and contributions of the paper based on the Q&A session and discussion. | 60minutes | ||
| 10． | Student presentations of papers (3) | Before lecture: Read the assigned paper in advance to get an overview. Presenters should prepare materials. | 60minutes |
| After lecture: Deepen understanding of the claims and contributions of the paper based on the Q&A session and discussion. | 60minutes | ||
| 11． | Student presentations of papers (4) | Before lecture: Read the assigned paper in advance to get an overview. Presenters should prepare materials. | 60minutes |
| After lecture: Deepen understanding of the claims and contributions of the paper based on the Q&A session and discussion. | 60minutes | ||
| 12． | Student presentations of papers (5) | Before lecture: Read the assigned paper in advance to get an overview. Presenters should prepare materials. | 60minutes |
| After lecture: Deepen understanding of the claims and contributions of the paper based on the Q&A session and discussion. | 60minutes | ||
| 13． | Student presentations of papers (6) | Before lecture: Read the assigned paper in advance to get an overview. Presenters should prepare materials. | 60minutes |
| After lecture: Deepen understanding of the claims and contributions of the paper based on the Q&A session and discussion. | 60minutes | ||
| 14． | Student presentations of papers (7) | Before lecture: Read the assigned paper in advance to get an overview. Presenters should prepare materials. | 60minutes |
| After lecture: Deepen understanding of the claims and contributions of the paper based on the Q&A session and discussion. | 60minutes | ||
| Total. | - | - | 1680minutes |
- The evaluation will be based on the quiz in class, the report of the project in class, and the student presentation of papers.
- Students who have been absent from the class five times or more will be considered to have withdrawn from the course, and their grade will not be evaluated.
The passing criteria (60%) include the ability to to explain the methods for measuring, analysing and modelling human emotions, feelings and behaviour, to write a report analysing the subjective evaluation data in the correct way, and to give a presentation in which the content of the thesis is correctly read.
- Students who have been absent from the class five times or more will be considered to have withdrawn from the course, and their grade will not be evaluated.
The passing criteria (60%) include the ability to to explain the methods for measuring, analysing and modelling human emotions, feelings and behaviour, to write a report analysing the subjective evaluation data in the correct way, and to give a presentation in which the content of the thesis is correctly read.
| ways of feedback | specific contents about "Other" |
|---|---|
| 授業内と授業外でフィードバックを行います。 |
Japanese reference material
長沢 伸也, 神田 太樹（編）: 数理的感性工学の基礎―感性商品開発へのアプローチ, 海文堂出版, 2010. ISBN 978-4303723941
長沢 伸也, 神田 太樹（編）: 数理的感性工学の基礎―感性商品開発へのアプローチ, 海文堂出版, 2010. ISBN 978-4303723941
- Toyosu: 40 minutes after the class (Thursday, 15:00-15:40)
Accept questions and consultations via email.
- Course that cultivates an ability for utilizing knowledge
- Course that cultivates a basic problem-solving skills
| Work experience | Work experience and relevance to the course content if applicable |
|---|---|
| N/A | N/A |
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Last modified : Wed Mar 12 04:13:42 JST 2025