Adaptive Problem Solving using Off-the-Shelf Adaptive Design

Construction of an Environment to Foster Adaptive Problem-Solving Skills based on the Cognitive Behavioral Science Theory of Action Selection and Memory

Our lab is developing a wearable device capable of measuring everyday behaviours. Our goal is to find the connection between these unconscious behaviors and our decision process, to enhance our life-styles and create a safer society.

flowchart

This project consists of 3 stages:

  1. Find which information is relevant for our daily decision process and create a wearable device capable of recording this information.
  2. Analyze these data and create a decision model that can predict and support our adaptive problem solving skills.
  3. Design a support system that can be used in daily-life, that help us look back into past actions and support the decision of future events.

aps

By understanding which elements from our daily behaviour influence our decision process, we can create a support system that enhances our Adaptive Problem Solving Skills, helping us make faster and better decision.

process

Based on the cognitive-behavioral science theory of action selection and memory, this study constructs an environment that smoothly integrates “memory enhancement by behavioral measurement, problem-solving behavior extraction, and cognitive process visualization” into individual activity lines by visualizing cognitive processes during task execution by the 4-PROCESS.


This project is supported by the Grants-in-Aid for Scientific Research (KAKENHI) Program from the Japan Society for the Promotion of Science (JSPS).

Muneo Kitajima
Muneo Kitajima
Professor at Nagaoka UT

Muneo Kitajima currently works at the Department of Management and Information Systems Engineering, Nagaoka University of Technology.

SeungHee Lee
SeungHee Lee
Associate Professor of Kansei Design

Designing happiness for everyone, borderless use concerning Global Kansei.

Eiji Onchi
Eiji Onchi
Graduated Student

My research interest is in human-robot interaction design, in particular on how people understand emotions in robots.

Max Hanssen
Max Hanssen
PhD Student

Exploring the relation between people and their environment through design.

Han "Sammy" Zhang
Han "Sammy" Zhang
Graduated Student

As a user-centered researcher with industrial design and Kansei design experiences, I would like to assist Human-Vehicle interaction in innovating through framing insights and exploring solutions.

Cen "Ori" Zhang
Cen "Ori" Zhang
Graduated Student

Trying to build my own logic.

Pengchen "Ban" Wan
Pengchen "Ban" Wan
Graduated Student

Trying to be a good cartographer on our mapless trip.

Kaihuan Wei
Kaihuan Wei
Graduated Student

I’m on the way to the future!