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Introduction

Based on the investigation, measurement, and analysis of human characteristics, we are researching 1) the proposal and verification of products and services that bring new experiences to users, and 2) support for the stability and safety of socio-technical systems, such as those represented by aviation and firefighting. We aim to optimize humans and organizations by rationally utilizing methods from various fields, including psychology, physiology, information science, and applied statistics.

Achievements

■Crew Resource Management in Teams
・Research Objective: Application of Artificial Intelligence to Workload Management
-The effect of communication on teamwork formation and workload in ICU nursing: Simulation experiment: A. KISHIGAMI, Y. MEKATA, J. HAMAGUCHI, M. NAKANISHI, 22nd Triennial Congress of the International Ergonomics Association in Jeju, Korea. (2024).
-An Attempt to Estimate Nurses' Workloads Depending on Changing Circumstances in Real Time Using Data from Simulation Experiment: Y. MEKATA, A. KISHIGAMI, J. HAMAGUCHI, M. NAKANISHI, 22nd Triennial Congress of the International Ergonomics Association in Jeju, Korea. (2024).
-Proactive Workload Estimation for Pilots: M. NAKANISHI, R. ADACHI, 26th International Conference on Human-Computer Interaction in Washington DC, USA. (2024).
-Analysis of a Workload in Healthcare through a Simulation Experiment and Data Acquisition by Wearable Devices: Y. MEKATA, A. KISHIGAMI, J. HAMAGUCHI, M. NAKANISHI, 2nd Australian International Conference on Industrial Engineering and Operations Management in Melbourne, Australia. (2023).
-Analysis of Human Efficiency-Thoroughness Trade-Off Decisions in Approach Control: T. TAKAGI, M. NAKANISHI, 21st Triennial Congress of the International Ergonomics Association in Vancouver, Canada. (Virtual Conference) (2021).
-Efficiency-Thoroughness Trade-Off Characteristics of Air Traffic Controllers During Tower Operations: T. TAKAGI, M. NAKANISHI, Human Factors and Ergonomics Society (HFES) 64th International Annual Meeting in Chicago, USA. (Virtual Conference) (2020). 　
・Research Objective: To examine the components of crew resource management
-Report of the Working Group to Identify Future Challenges Faced by the Implementation of Resource Management in Remote and Distributed Teams: Harris D., Chan W.T.K., Chatzi A., Griebel H., Li W.C., Lu T.T., McCarthy P., Nakanishi M., Plioutsias T., Ziakkas D.: 26th International Conference on Human-Computer Interaction in Washington DC, USA. (2024).

■Designing a System Focusing on Human Intrinsic Motivation
・Research objective: To propose and validate a method of maintaining arousal levels by presenting information that induces intrinsic motivation in drivers of automatic vehicles.
-Construction of models for predicting arousal level in advance based on features of face images: Y. MEKATA, M. NAKANISHI, 13th International Conference on Applied Human Factors and Ergonomics 2022 in Sheraton New York Times Square, USA. (Virtual Conference) (2022).
-Optimization of the Method of Maintaining Arousal Level by Inducing Intrinsic Motivation: Using Presentation of Information in Autonomous Driving: Y. MEKATA, S. TAKEUCHI, T. YAMAMOTO, N. KAMIYA, T. SUZUKI, M. NAKANISHI, 22nd International Conference on Human-Computer Interaction in Copenhagen, Denmark. (Virtual Conference）(2020). 
・Research objective: To develop a recommendation algorithm that induces human interest.
-Experimental Study to Establish a Psychophysiological Index to Assess the Degree of Self-Determination of Motivation from the Perspective of Organismic Integration Theory: M. TAKAGI, M.NAKANISHI, 22nd Triennial Congress of the International Ergonomics Association in Jeju, Korea. (2024).

■Development of safety management methods based on the concept of productive safety
・Research objective: Systematization of resilience competence based on data from spontaneous reports (near-misses) related to aviation safety
-Predicting Situations that Require Resilient Performance and Deriving Competence to Strengthen in Preparation: An Analysis Based on the Aviation Safety Reporting System (ASRS): M. ONO, M.NAKANISHI, 22nd Triennial Congress of the International Ergonomics Association in Jeju, Korea. (2024).
-Analysis of Human Factors and Resilience Competences in ASRS data Using Natural Language Processing: M. ONO, M. NAKANISHI, 25th International Conference on Human-Computer Interaction in Copenhagen, Denmark. (2023).
-Extraction and Extended Analysis of Good Jobs from Safety Reports Using Text Mining -Focusing on Voluntary Information Contributory to Enhancement of the Safety (VOICES) Data-: T. TAKAGI, A. OSAWA, M. NAKANISHI, 23rd International Conference on Human-Computer Interaction in Washington D.C., USA. (Virtual Conference) (2021).
・Research Objective: To quantify the optimal switching between Safety-I and Safety-II safety strategies
-In What Conditions Do People Adopt “Resilient” Behavior for Safety?: Experimental Study for Safety – II: N. KUBO, M. NAKANISHI, Proceedings 20th Triennial Congress of the International Ergonomics Association in Florence, Italy, Vol.819, 509-516,(2018).

■Designing automobile visibility based on human visual characteristics
・Research objective: To elucidate the effects of the visual environment on the spatial cognition of car drivers.
-Effects of differences in vision upon drivers’ spatial cognition: Focus on the subjective and objective viewpoints: K. TERANISHI, T. OHTSUBO, S. NAKAMURA, Y. MATSUBA, M. NAKANISHI, Proceedings 20th Triennial Congress of the International Ergonomics Association in Florence, Italy, Vol.827, 159-168, (2018).

■User experience evaluation in the product planning stage
・Research objective: To establish a predictive and quantitative evaluation method for the user experience of a product
-A method to evaluate consumer desire for continued product usage: Incorporation of the method in the auto-mobile design process.: T. YURA, T. YAMAMOTO, N. KAMIYA, M. NAKANISHI, Proceedings of the 7TH International Conference on AHFE(Applied Human Factors and Ergonomics) in Florida, USA, Vol.486, 635-649, (2016).
-Quantifying user experiences for integration into a home appliance design process: a case study of canister and robotic vacuum cleaner user experiences,: A.MIYAHARA, K. SAWADA, Y. YAMAZAKI, M. NAKANISHI, Proceedings 19th Triennial Congress of the International Ergonomics Association in Melbourne, Australia, (2015)
・Research objective: To propose and verify attachment formation strategies for products
-Elucidation of the Mechanism Forming Attachment for Products and Services: Physiopsychologically Evaluating the Emotion of Attachment,: M. WATANABE, M. NAKANISHI, Proceedings of the 1st Asian Conference on Ergonomics and Design (ACED 2014) in Jeju, Korea, on CD-ROM, (2014)

■Ergonomic evaluation for practical use of AR-type HMD
・Research objective: Ergonomic evaluation for practical application of monocular see-through head-mounted displays
-1. Does Spectacle-Type Wearable Display Improve Efficiency and Safety?:An Experimental Evaluation of Practical Use,: T. UCHIYAMA, D. YOKOYAMA, Y. FUKUDA, M. YAGI, M. NAKANISHI, Proceedings of the 5TH International Conference on AHFE(Applied Human Factors and Ergonomics) in Krakow, Poland, on CD-ROM., (2014)
2. Analysis of a Spectacle-Type Device for Rapid Visual Referencing,: D. YOKOYAMA, T. UCHIYAMA, Y. FUKUDA, M. YAGI, M. NAKANISHI, Proceedings of the 5TH International Conference on AHFE(Applied Human Factors and Ergonomics) in Krakow, Poland, on CD-ROM., (2014)

Areas of Research

・Safety management for transportation, medical, fire, and manufacturing
・User experience design of products and services
・AI design based on human characteristics

Social Contributions

・The use of artificial intelligence to take into account the characteristics of workers and to expand their capabilities will lead to the development of both safety and production, as well as to increased professionalism.
・Predictive and quantitative evaluation of the user experience leads to products and services that exceed user expectations.
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