We will create a “Positive Scale,” a subjective index of positivity. We will also create a prototype version of “Body2Positive,” which estimates mental positivity from physical information, by evaluating the relationship between positivity indices, physical information, brain data, and actual behavior through laboratory experiments. We will establish a forward-looking index and evaluation method, link the obtained findings to forward-looking operations, ELSI, and social implementation, deepen our understanding of forward-looking mechanisms, and establish a scientific and technological foundation for forward-looking.

Research Member

MIYAMAE Mitsuhiro (Brain and Mind Research Group, Functional Brain Imaging Research Department, Quantum Medical Science Institute, Quantum Science and Technology Agency)
MATSUYOSHI Daisuke (Brain and Mind Research Group, Functional Brain Imaging Research Department, Quantum Medical Science Institute, Quantum Science and Technology Agency)
TSUCHIYA Naotsugu (Monash University School of Psychological Sciences)
Leung Angus (Monash University School of Psychological Sciences)
ISATO Ayako (Department of Psychology, Faculty of Humanities, Saitama gakuen University）
FUYAMA Miho (Department of Literature, Ritsumeikan University)
AMANO Kaoru (Graduate School of Information Science and Technology, The University of Tokyo)
HIRANO Shigeki (Department of Neurology, Graduate School of Medicine, Chiba University/Brain and Mind Research Group, Functional Brain Imaging Research Department, Quantum Medical Science Institute, Quantum Science and Technology Agency)
TAMAKI Kentaro (Brain and Mind Research Group, Functional Brain Imaging Research Department, Quantum Medical Science Institute, Quantum Science and Technology Agency)
AIZAWA Yasunori (Brain and Mind Research Group, Functional Brain Imaging Research Department, Quantum Medical Science Institute, Quantum Science and Technology Agency)
YABE Yoshiko (Brain and Mind Research Group, Functional Brain Imaging Research Department, Quantum Medical Science Institute, Quantum Science and Technology Agency)
Wang Yaru (Graduate School of Science and Engineering, Chiba University/Brain and Mind Research Group, Functional Brain Imaging Research Department, Quantum Medical Science Institute, Quantum Science and Technology Agency)
MORI Mizuki (Graduate School of Science and Engineering, Chiba University/Brain and Mind Research Group, Functional Brain Imaging Research Department, Quantum Medical Science Institute, Quantum Science and Technology Agency)
TAMURA Mitsuyoshi (Department of Neurology, Graduate School of Medicine, Chiba University/Brain and Mind Research Group, Functional Brain Imaging Research Department, Quantum Medical Science Institute, Quantum Science and Technology Agency)
HAGIWARA Ippei (Consortium for Applied Neuroscience)
ISOMURA Syota (NTT DATA INSTITUTE OF MANAGEMENT CONSULTING, Inc.)
INOUE Masahiko (NTT DATA INSTITUTE OF MANAGEMENT CONSULTING, Inc.)

We will establish a technological basis for estimating prospective from physical information in a real environment using wearables, computer vision (CV), and other non-observable measurements. In addition, we will evaluate forward-looking related indicators, physical information, and performance in real environments for athletes and students in preparatory schools, and verify the effect and degree of embodied forward-looking on performance. We will also use body information obtained from real-world sensing and laboratory experimental data to determine which body information can be used and to what degree estimation accuracy can be achieved.

We will test the possibility that “flow experiences” can lead to a cycle of positivity (positive loops) and generalize to other aspects of positivity using a positive cognitive task. We will evaluate how the presence and extent of flow experiences during the performance of tasks with different characteristics affect positive cognitive tasks and other positivity-related indicators measured before and after the task.

We will conduct mathematical analysis of psychological measures of positivity and cognitive task data and brain, body, and physiological data to construct standard profiles of positivity and profiles by individual attributes and social situations. Using the data obtained in the development of the prospective scale and Body2Positive, we will use machine learning to build optimal predictive models and increase the accuracy of estimating an individual’s prospective from physical information.

For the development of forward-looking assist technology, we will verify causality by manipulating circuits using artificial receptors in monkeys. Specifically, we will manipulate dopamine and serotonin neural activity in monkeys using chemical genetics to clarify the relationship between prospective and molecular functions, including causality.

To develop forward-looking training, we will manipulate biomechanical indicators related to forward-looking (posture, movement, myoelectricity, etc.) to “clarify which elements of forward-looking are changed and to what extent. Then, in collaboration with Task 1, we will verify the amount of forward-looking change and its sustainability by biofeedback training of biomechanical indicators.

Based on the findings of previous research and empirical studies, we will examine what forward-looking means from the perspective of philosophy and psychology, and collaborate with Item 1 Assignment 1 to create a “reference book” on forward-looking. In addition, we will examine ELSI that may arise with the establishment of a forward-looking scientific and technological foundation, using multifaceted research methods (literature review, social survey, dialogue/interview, etc.), and prepare a tentative version of ELSI guidelines.

Using psychological measures of positivity, cognitive tasks, and somatic information measurement techniques, we will clarify the state of positivity in elderly and palliative care patients.

We will then clarify the relationship between positive factors and physical information in elderly and palliative care patients, and identify which factors and degree of positivity affect their physical and mental state.

Using psychological measures of positivity, cognitive tasks, and physical information measurement techniques, we will clarify the relationship between positive factors and physical information in depressed and manic-depressed patients and addicted patients, and identify which positive factors and to what degree they influence their physical and mental states.

We will also clarify the relationship between positive factors and bodily information in the state of excessive “positivity” (deviation from positivity) and its influence on the physical and mental states.