Smart City 4.0 User-centered City Service Design

We are now facing one of the largest waves of disruptive changes known as the Fourth Industrial Revolution. It is expected to change almost every aspect of the way we interact with the world. Those changes will not just happen overnight. Behind the scenes, we must struggle with the challenging mission of harnessing ‘connectedness and intelligence' into our lives. As a user experience strategist, my goal has always been reinventing technology and business to be more human-centered. Therefore, the advent of a connected and intelligent information era is analogous to new opportunities to collaborate with professionals in a variety of technology and business domains to make the world a better place for people to live in. This speech aims to unfold the behind story of a user experience strategist who is creating the human-centered, connected, and intelligent future, also known as the ‘Smart City.’2

User-centered Smart City Service Design

We are now facing one of the largest waves of disruptive changes known as the Fourth Industrial Revolution. It is expected to change almost every aspect of the way we interact with the world. A strong wind of ‘connectedness’ and ‘intelligence’ is now blowing towards the city where we live, which is gradually turning our living environment into a smart city. A variety of smart devices are being introduced. Besides those personal and/or privately owned devices we are already quite familiar with, public devices such as the intelligent street lights are being deployed on the road, and almost every component that constitute the city such as vehicles, roads, and buildings, is becoming smarter. Likewise, a variety of solutions are also being introduced such as water, waste, energy, and safety, to name only a few. Behind the scenes a group of well-known technologies such as IoT, Big Data, Blockchain are enabling the change. But to most of us, it seems like a pile of jigsaw pieces scattered all around us. We are in fact struggling with the challenging mission of harnessing connectedness and intelligence into our lives without making people who use them puzzled. Aiming at the IoT world, a lot of IoT products appeared in the market but many of them were disappointing. They were often useless, and as a result, failed to attract people, i.e., the market. On the other hand, some features recently deployed in premium cars such as intelligent headlights or advanced driver assistant systems are quite attractive. Just like the products, I believe there are bad and good smart cities as well. As a user experience strategist, my goal has always been reinventing technology and business to be more human-centered. Therefore, to me, the advent of a connected and intelligent information era is analogous to new opportunities to collaborate with professionals in a variety of technology and business domains to make the world a better place for people to live in. This speech aims to unfold the story of a user experience strategist who is creating the human-centered, connected, and intelligent future, also known as the ‘Smart City.’ I’d like to talk about two things: what makes a good ‘smart city’ and how to make it.2

Smart City: A Collaborative Technology for the Human-centered Future

We are now facing one of the largest waves of disruptive changes known as the Fourth Industrial Revolution. It is expected to change almost every aspect of the way we interact with the world. A variety of smart devices are being introduced. Besides those personal and/or privately owned devices we are already quite familiar with, public devices such as the intelligent street lights are being deployed on the road, and almost every component that constitute the city such as vehicles, roads, and buildings, is becoming smarter. Likewise, a variety of solutions are also being introduced such as water, waste, energy, and safety, to name only a few. This speech aims to unfold the story of a user experience strategist who is creating the human-centered, connected, and intelligent future, also known as the ‘Smart City.’2

DESIGNING A SINGLE LINE DISPLAY MENU FOR THE USER INTERFACE OF CONSUMER ELECTRONIC PRODUCTS

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Understanding Human Factor Issues of the Shared Control System: a literature review

The aim of this study is to identify human factor issues related to the shared control system. With the rapid development of machine and robot technology, an enormous number of system introduces the human-machine cooperation to reduce physical and psychological workload. In the shared control system, which is one type of the human-machine cooperation, the machine agent senses the environment and then autonomously takes the initiative to choose its activity responding to the environment. There are many human factor issues in this kind of system. However, most of the research on the shared control system is focused on the performance improvement of the machine, not on human factor issues. Literature review was conducted to collect and understand the academic literature that containing information about the shared control system. The topic varies from defining the shared control system to evaluating the system. Collected problems and guidelines are classified from the perspective of the human agent. Control authority, trust, workload and performance are frequently appeared issues. In addition, it is found that there are relationships between issues. By considering the derived human factor issues in the system design step, it is possible to develop more effective the shared control system. The result of this study can be applied to other types of human-machine cooperation system.1

The Effects of Steering Control Strategy in a Lane Keeping Assistance System on the Driving Experience

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Designing a Feeding Support System for Infants using IoT

The main goal of this on-going research is to design a feeding support system based on technologies with Internet of Things (IoT). For that reason, we conducted user observation and in-depth interview with three parents for developing the system based on better understanding of users. We found two pain points, which are the measurement of temperature and quantity of feeding milk, in current feeding behavior. Thus, designed prototype can measure the temperature and record the quantity of feeding automatically with sensors. The prototype consists of sensor client, representation client, and server. Sensor client obtains feeding amount and time information and sends them to the server via the internet. The server statistically analyzes the dataset and gives useful information about the baby. Representation client visualizes the stored data effectively and gets an alarm setting for feeding time. The next step of the research is to perform a user study to evaluate user experience and establish a strategy for analyzing data with machine learning approaches.1

문헌 분석을 통한 지능성 구성 요소 도출

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Factors Affecting User Satisfaction of Adaptive Cruise Control

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A MORF-Vision Method for Strategic Creation of IoT Solution Opportunities

With the rise of Internet of Things (IoT), companies are now facing new challenges such as diverse consumer demands and shorter lifecycle of products and services. Even in big companies, they may have to "extract" new products every six months or less. Nonetheless, shorter lifecycle is never a waiver for poor user satisfaction. Common to the companies that survived such disruptive changes is that they emphasized the user experience (UX) as one of the most important elements of their strategy. This explains why most product innovation processes such as user-centered design or design thinking emphasize so much on "empathizing." Developing a new product or service from scratch, however, is challenging especially when the underlying technology is new to people. The aim of this study is to develop a systematic process for creating opportunities from the UX perspective. This study suggests opportunity-creation process by adopting an "abductive" design thinking approach: (1) future envisioning and (2) opportunity identification and analysis. A new method called MORF-Vision (Morphological Future Envisioning) was developed to generate prospective scenarios that can be used in phase (2) to identify potential opportunities. An experiment showed that the MORF-Vision method is helpful to create opportunities in various business domains.11Nsciessciscopu