2021 Fiscal Year Final Research Report
Deep Learning the Human Mind - Recognising and Augmenting Cognitive Performance Fluctuations
| Project/Area Number |
18H03278
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 61020:Human interface and interaction-related
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| Research Institution | Keio University |
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Principal Investigator |
Kunze Kai 慶應義塾大学, メディアデザイン研究科(日吉), 教授 (00648040)
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| Project Period (FY) |
2018-04-01 – 2022-03-31
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| Keywords | Cognitive Augmentation / Wearable Computing / Adaptable Interfaces / Cognitive Fluctuations |
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| Outline of Final Research Achievements |
This project provides tools to quantify and manage properties of our mind better using physiological sensing (from sleep, over cognitive load, towards problems related to motion/cyber-sickness and accessibility issues). In a first step, we implemented several methods to assess cognitive fluctuations using unobtrusive physiological sensing and deep learning/machine learning techniques. Highlights include the detection of sleep onset, sleep quality, alertness (while driving), and cognitive load changes. In a second step, we implemented interactions to improve or manage these cognitive fluctuations, highlights include a nap assistant, Increased situational awareness while driving, and a reduction in motion- cyber sickness.
We also developed two novel paradigms: Cognitive Augmentation and Human Computer Integration, for implementing systems that are more integrated with the human body. Overall, we present significant contributions to the human computer interaction and related fields.
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| Free Research Field |
Human Computer Interaction
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| Academic Significance and Societal Importance of the Research Achievements |
Our project introduces the novel paradigm of cognitive augmentation. We enable a tighter feedback loop taking the user’s real time cognition model into account. Making systems more accessible. Accessibility is a core concept emphasized in nearly all 17 of the UN’s SDGs.
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