YU TANG HSUEH 2023 PORTFOLIO

POR TFO LIO

Yu Tang Hsueh

National Cheng Kung University

CONTENTS

About Me

Kansei Innovation for Experience Design

Preliminary Research on the Mechanism for Empowering Cross-disc

Master Thesis

Service Design on Experienced Interpretation Using Educational

Resaerch Center for Smarting Learning

The Effects of Implementing Robot Assisted Instruction on Young

Chinese Classifier Learning Applying Multimodality and Embodimen Learning Chinese Classifier with Robots and Tangible Objects

Development and Validation of an Online Chinese Numeral-Classifier-Noun

Chinese Measure Word Learning Applying Robot Asissted Instruction

Hsueh Yu Tang

Education

2022/09 - Doctor

Industrial Design

National Cheng Kung University

Advisor / Min-Yuan Ma, Professor, NCKU

Master

Digital Media Design

2020/03 - 2022/06

National Yunlin University of Science and Technology

Master thesis / Service Design on Experienced Interpretation Using Educational Robot: Based on Chewy Plums Handmade Activity Advisor / Wen-Shan Chang, Associate Professor, NYUST

Bachelor

2015/09 - 2019/06

Bachelor Program in International Management

National Yunlin University of Science and Technology

1996Taipei, Taiwan

ABOUT ME

Research Experience

Research Scholarship Grantee

Kansei Innovation for Design Experience, NCKU

2022/06 - 2022/11

MOEA Project: “Preliminary Research on the Mechanism for Empowering Cross-disciplinary Co-creation Talents.”

Research Assistant / Research Scholarship Grantee

Research Center for Smart Learning, NYUST

Chinese Classifier Learning

2019/07 -

MOST Project: “Applying Educational Robots and Iot-Based Tangible Objects to Creating an Immersive Chinese Language Learning Environment: Case Studies of Learning Chinese Classifiers and Ba-Constructions.”

“Chinese Classifier Learning Applying Multimodality and Embodiment to Design Innovative Learning Applications: Learning Chinese Classifier with Robots and Tangible Objects.”

“Development and Validation of an Online Chinese Numeral-Classifier-Noun Assessment.”

“Chinese Measure Word Learning Applying Robot Asissted Instruction for CFL Learners in Australia and New Zealand.”

English Learning

MOST Project: “The Effects of Implementing Robot Assisted Instruction on Young EFL Learnersʼ Oral Interaction Skills.”

MOST Project: “Main: Using Language Learning Robots and IoT Based Toys to Improve EFL Elementary School Studentsʼ Learning. Sub Project 7: The Design, Development, and Evaluation of an Immersive Language Learning Environment through Incorporating of Rob ots and IoT Toys.”

Competition Result

Outstanding Award for Innovative Lesson Plan "Augmented Learning with Kebbi Teacher in English Textbooks"

Work & Internship Experience

Publication & Conference Presentation

Journal Paper

Hsueh, Y. T. & Chang, W. S. (2023). A Double Diamond Model for Experience Activity on Regional Revitalization: A Case of Dream Works of the Plum. Fu Jen Management Review.

Conference Paper

Chang, C. J., Ma, M. Y., Chang, W. L.,& Hsueh, Y. T. (2023, May 26). Differences and Ｂenefits Ａnalysis of Participatory Design in Ｉndustrial Ｄesign Ｗorkshops. [Paper presentation]. 2023 International Conference on Innovation Digital Design (ICIDD).

Hsu, F. H., Hsueh, Y. T., Lin, Y. T. R., Lan, Y. J.,& Chen, N. S. (2022, July 1-4). An Innovative Multimodal Learning System Based on Robot and Tangible Objects for Chinese Numeral-Classifier-Noun Phrase Learning. [Paper presentation]. 2022 International Conference on Advanced Learning Technologies (ICALT).

Hsueh, Y. T. & Chang, W. S. (2021, November 6). A Double Diamond Model for Experience Activity on Regional Revitalization: A Case of Dream Works of the Plum. [Paper presentation]. 2021 Taiwan Social Enterprise Innovation and Entrepreneurship Society Conference, 51-72.

Hsueh, Y. T., Chang, W. S.,& Chen, N. S. (2021, October 17). Service Blueprint Design for Interpretation of Experience Activity Using Educational Robot: Chewy Plums Handmade Experience as an Example.[Paper presentation]. The 11th Forum on Service Science Research & 2021 Information Technology Management Association Conjoint Conference.

Hsu, F. H., Hsueh, Y. T., Lin, Y. T. R., Lan, Y. J.,& Chen, N. S. (2021, July 12-15). Development and Validation of an Online Chinese Numeral-Classifier-Noun Assessment. [Paper presentation]. 2021 International Conference on Advanced Learning Technologies (ICALT), 246-248.

KANSEI INNOVATION FOR DESIGN EXPERIENCE

PRELIMINARY RESEARCH ON THE MECHANISM FOR EMPOWERING CROSS-DISCIPLINARY CO-CREATION

TALENTS

ADVISOR

Min-Yuan Ma, Sheng-Fen Chien

TEAM MEMBER

Chen-Fu Hsieh, Chia-Chi Chih, Yu-Tang Hsueh, Pin-He Huang, Chia-Jung Chang, Ying-Wen Su, Chun-Yu Chou, Li-Yen Huang

RESPONSIBILITY

Ｌiterature review (Section 3.2 - Foresight)

Ｅxpert interviews

Ｃompilation of interview data (Section 5.2 - Exploring the Potential and Opportunities of Design Thinking from Cross-domain Practical Contexts)

Ｐroject proposal writing (Section 5.2 - Exploring the Potential and Opportunities of Design Thinking from Cross-domain Practical Contexts)

ABSTRACT

In a time when "design power" is regarded as the core competitiveness of the country's future development, the Taiwan Design Research Institute (TDRI), established in 2020, aims to introduce design thinking into government departments, integrate government resources across ministries with design, and create leading design enterprises in Taiwan. However, this national cross-disciplinary design strategy requires the cultivation and participation of "cross-disciplinary designers" and "co-creation talents" to achieve its effective drive and sustainable implementation. With this background, our team will further review the method of "Design Thinking for Co-creation" by taking into account the 40 design thinking research workshops conducted since 2019 and the ability to bring design power into different industry categories to implement co-creation. We hope to establish a "cross-disciplinary co-creation talent cultivation mechanism" to empower design talents and industry professionals to become cross-disciplinary co-creators with deep insight and foresight, to implement design-driven industrial transformation, and to promote a sustainable ecosystem of design-driven national industrial innovation capacity.

Cross-disciplinary Co-creative Talent Cultivation Mechanism Model

List of Interviewed Experts

Collection of Knowledge, Skills, Attitude and Value: Interviews with experts

Profiles of Co-creation Talent in Cross-disciplinary Practice (excerpt)

The Know-hows of Applying Design Thinking in Cross-disciplinary Practice (excerpt)

MASTER THESIS

SERVICE DESIGN ON EXPERIENCED INTERPRETATION USING EDUCATIONAL ROBOT: BASED ON CHEWY PLUMS

HANDMADE ACTIVITY

ADVISOR

Wen-Shan Chang, Associate Professor, NYUST

ABSTRACT

According to the related literature of leisure agriculture, the existing problems of agricultural experience are as follows: 1. The narrators are unstable in professional knowledge; 2. Experience activity design is not the specialty of agricultural producers, causing additional burdens; 3. Organizing experience activities in small-scale farms have problem of insufficient manpower; 4. The theme positioning of some farms' experience activities is not obvious, and there is no distinctiveness and market separation. Additionally, there is no specific solution to these experience problems. The only way to minimize the negative impact is appealing, self-exploration, or even reducing the content of the activity. In recent years, introducing technology into rural experience has gradually become a trend, which can increase the interest of experience activities in all sorts of fields. At the same time, with the advent of the robotics era, modern robots are mainly service robots. Among the service robots, educational robots are used for multimedia and interactive learning, which can be applied to experience activities, play the role of interpreter, and solve the existing problems of agricultural experience.

Consequently, this study applied Double Diamond Model and Service Design tool for the chewy plum handmade activity, in order to analyze the experience process of traditional chewy plum handmade activity, which can not only understand the corresponding relationship between customers and vendors in each activity stage, but also clarify the touch points, sweet spots and pain points. Next, this study proposed pain point corrections and solutions which solving the experience problems through the introduction of educational robots and other supporting measures. Then, this study developed the first version of the educational robot chewy plum handmade activity package. After conducting field experimentation, the revised version of the educational robot chewy plum handmade activity package was finally derived. In addition to solving the problems found in academic theory, such as lack of professional knowledge, distinctiveness, market separation and manpower, etc., it also solves the pain points of the traditional chewy plum handmade experience, such as the lack of clear outputs and goals at every phase, the inability to obtain immediate responses to problems, and the need to follow the overall pace, etc. Besides, the sweet points obtained during the field experimentation are much higher than the traditional handmade experience. In terms of applied field, as long as the digital teaching content is replaced, it can be applied to various types of experience activities. This study implements process reengineering by service design to improve traditional experience problems, which is beneficial to all sorts of experience activities or any other service process development. In addition, for agricultural experience, this study promotes the breakthrough development of agricultural experience through the introduction of technology and leads the leisure agriculture industry into a new era. As for the field of educational robotics, the development of digital teaching materials is no longer limited to subject education. Experience activity also spreads knowledge and skills. It is hoped that the continuous accumulation of experience in the future can establish more design principles and guidelines for the experienced interpretation using educational robot.

Keywords: Agricultural Experience, Service Design, Educational Robot

ACTIVITY PROCEDURE

Activity Procedure Introduction

Opening & Warm-up

Chewy Plum Knowledge Robot Head Sensor Introduction & Practice

Robot Belly Sensor Introduction & Practice

Step Recognition Prop Introduction & Practice

Pulling Out Stalk Opening Step Instruction Practice

Removing The Rest of Stalk

Opening Step Instruction Practice

Enzyme Deactivation Opening Step Instruction Practice

Curing Opening Step Instruction Practice

Packaging Opening Step Instruction Practice

Sugaring Opening Step Instruction

Q&A

Download Sugaring Flowchart

Teaching Content Example (Opening & Warm-up)

666_PE_Singing sing.mp4 opening music.mp3

666_EM_Happy01 excited.mp4

666_PE_Hug like.mp4

666_SP_Karate [image]u0chewyplum

666_PE_Sneak excited.mp4 [image]u0diyprocedure123456

666_TA_DictateL [image]u0diyprocedure1

666_TA_DictateL [image]u0diyprocedure2

梅子 二號砂糖

梅子 二號砂糖

Packaging Sticker

Support System

Digital Content Software Hardware

Opening & Warm-up

Pulling out stalk

Removing the rest of stalk

Enzyme Deactivation

Curing Packaging Sugaring

Appication

Robot (Kebbi Air)

Robot Scanning

Robot

Layout of Prop and Support System

RESEARCH CENTER FOR SMART LEARNING

THE EFFECT OF IMPLEMENTING ROBOT-ASSISTED INSTRUCTION ON YOUNG EFL LEARNERSʼ

ORAL INTERACTION SKILLS

ADVISOR

Nian-Shing Chen, Hui-Ching Yeh, Yu-Fen Yang, Ai-En Lin

TEAM MEMBER

Yu-Tang Hsueh, Chia-Ling Yeh, Lung-Hao Huang, Yao-Tsung Chang, Min-Chih Chen, Hsiu-Hua Chiang, Yu-Ching Lin

RESPONSIBILITY

Supervising on Human-Robot Interaction (ＨＲＩ) & User Interface (ＵＩ) Design

PROJECT DESCRIPTION

The proposal aims to design, develop, and evaluate interactive scripts using robot and toys to enhance elementary school studentsʼ English proficiency. This project might provide a key solution to echo the new national policy of making Taiwan a bilingual country by 2018 (Executive Yuan, 2018).

DEVICE & MATERIAL

Robot (Kebbi Air) Textbook Tablet Scanner

INSTRUCTIONAL DESIGN

CHINESE CLASSIFIER

LEARNING APPLYING

MULTIMODALITY AND EMBODIMENT TO DESIGN

INNOVATIVE LEARNING APPLICATIONS: LEARNING

CHINESE

CLASSIFIER

WITH ROBOTS AND TANGIBLE OBJECTS

ADVISOR

Nian-Shing Chen, Yu-Ju Lan

TEAM MEMBER

Fu-Hui Hsu, Yu-Tang Hsueh, Yen-Ting Lin, Wei-Lun Chang, Chia-Ling Yeh, Lung-Hao Huang

RESPONSIBILITY

Digital Learning Content Design, NCN Card Design, Tangible Objects Preparation

ABSTRACT

Learning Chinese Numeral-Classifier-Noun (NCN) phrases is very challenging to most learners learning Chinese as an additional language (CAL). Although CAL teachers can help, the number and the affordance of CAL teachers are limited. This study proposed developing Chinese classifier learning applications based on multimodality and embodiment theories using Robots and IoT Tangible objects (R&T). The scripts of implemented leaning applications were designed by professional CAL teachers. This study adopted the ASSURE model to develop the learning applications and evaluate their effect. Ten participants were divided into two groups: learning after a human teacher (control group) and learning with the R&T system (experimental group). Both groups received a six-week intervention. A pre-test/post-test/delayed-test design was used to investigate the effects of the learning applications on the participantsʼ Chinese NCN phrase skills, including listening, speaking, and reading. A cognitive load questionnaire was also administered to the participants one week after the intervention. Results showed that the effect of the learning applications was comparable to that of human teachersʼ classes. This study contributes to CAL teaching and learning by providing an alternative learning method for CAL learners or a teaching assistant system for CAL teachers.

Keywords: Chinese as an additional language, Classifier, Educational robot, Tangible objects, Multimodality, Embodied cognition

LEARNING TOPIC

Numerals

Classifiers

Nouns

1 yī; 2 èr/liǎng; 3 sān

塊 kuài (block-like piece); 杯 bēi (cup/glass); 瓶 píng (bottle); 片 piàn (slice);

包 bāo (bag); 碗 wǎn (bowl); 盤 pán (tray/plate); 條 tiáo (long nar row piece);

種 zhǒng (type/kind); 口 kǒu (bite/a mouth full of)

魚 yū (fish); 肉 ròu (meat); 蘋果 píng gu ŏ (apple); 麵 miàn (noodles);

蛋糕 dàn gāo (cake); 牛奶 niú nǎi (milk); 水 shuǐ (water); 酒 jiǔ (li quor/wine/beer)

DEVICE & MATERIAL

Learning Procedure (Unit 2)

Water( 水 ): Choose the correct Pinyin

Cup/Glass( 杯 ): Choose the correct Pinyin

Water( 水 )

Instruction(Pinyin)

Find Cards

Repeat After Robot Twice

Cup/Glass( 杯 )

Instruction(Pinyin)

Find Cards

Repeat After Robot Twice

A cup/glass of water( 一杯水 ): Choose the correct phrase structure

A cup/glass of water( 一杯水 )

Instruction(Pinyin 、 Character 、 Phrase Structure)

Find Cards

Two cups/glasses of water( 兩杯水 ): Choose the correct Pinyin

Two cups/glasses of water( 兩杯水 )

Instruction(Pinyin 、 Character 、 Phrase Structure)

Find Cards

Repeat After Robot Twice

Three cups/glasses of water( 三杯水 ): Choose the correct character

Yes No Correct Yes No Correct Yes No Correct Yes No Correct

Find Tangible Objects

Two cups/glasses of water( 兩杯水 )

A cup/glass of water( 一杯水 )

Three cups/glasses of water( 三杯水 )

Instruction(Pinyin 、 Character 、 Phrase Structure)

Find Cards

Repeat After Robot Twice

Quick Review Robot read aloud the phrases Learner repeat after robot

Review all the phrases (Pinyin 、 Character 、 Phrase Structure)

Tangible Objects

A plate of noodles ( 一盤麵 ) A bowl of apples ( 一碗蘋果 ) A piece of cake ( 一塊蛋糕 )

Pressing

DEVELOPMENT AND VALIDATION OF AN ONLINE CHINESE

NUMERAL-CLASSIFIERNOUN ASSESSMENT

ADVISOR

Nian-Shing Chen, Yu-Ju Lan

TEAM MEMBER

Fu-Hui Hsu, Yu-Tang Hsueh, Yen-Ting Lin, Wei-Lun Chang

RESPONSIBILITY

Creating online assessment by Jotform, Designing the descriptio n and pictures in sub-assessments

ABSTRACT

The present study developed an online assessment, which can be carried out on a computer, a tablet, or a mobile phone, to evaluate Chinese numeral-classifier-noun (NCN) competence levels of learners learning Chinese as a foreign (CFL) or a second language (CSL). This paper summarizes the process of the assessment development, including the methods, procedures, and the preliminary results. This study provides an example for developing an online assessment evaluating learnersʼ competence levels of a designat ed Chinese learning scope.

Keywords: Chinese, classifier, online assessment, CFL, CSL

ASSESSMENT CONTENT

Numerals

1 yī; 2 èr/liǎng; 3 sān

塊 kuài (block-like piece); 杯 bēi (cup/glass); 瓶 píng (bottle); 片 piàn (slice);

包 bāo (bag); 碗 wǎn (bowl); 盤 pán (tray/plate); 條 tiáo (long nar row piece);

種 zhǒng (type/kind); 口 kǒu (bite/a mouth full of)

魚 yū (fish); 肉 ròu (meat); 蘋果 píng gu ŏ (apple); 麵 miàn (noodles);

Nouns

蛋糕 dàn gāo (cake); 牛奶 niú nǎi (milk); 水 shuǐ (water); 酒 jiǔ (li quor/wine/beer)

SUB-ASSESSMENTS

Classifiers Listening

1. Map the sounds of Chinese NCN phrase elements as a whole pic tures or objects representing them

2. Map the sounds of classifiers to their characters

1. Express Chinese NCN phrases elements and as a whole

1. Map Chinese characters to pictures or objects representing t hem

2. Map Chinese characters to sounds representing them

Sub-assessment (Listening)

Sub-assessment (Speaking)

CHINESE MEASURE

WORD LEARNING

APPLYING ROBOT ASSISTED INSTRUCTION FOR CFL LEARNERS IN AUSTRALIA AND NEW ZEALAND

ADVISOR

Nian-Shing Chen, Yu-Ping Wang, Yue Qi

TEAM MEMBER

Yu-Tang Hsueh, Chia-Ling Yeh, Lung-Hao Huang

RESPONSIBILITY

Supervising on Human-Robot Interaction (ＨＲＩ) & User Interface (ＵＩ) Design, Designing cards

RESEARCH DESCRIPTION

This study applies a combination of educational robots, tablets, cards and tangible objects to extend digital learning activities such as Recognizing Measure Word, Making Dumplings to facilitate listening, speaking and reading skills for Chinese as a foreign (CFL) university students in Australia and New Zealand.

DEVICE & MATERIAL

Robot (Kebbi Air) Tablet Scanner Cards Tangible Objects

Device and Material (Making Dumplins)

Noun Cards (Recognizing Measure Word)

Measure Word Cards (Recognizing Measure Word)

Scanning tangible object (Making Dumplings)

Saying the answer to the robot (Recognizing Measure Word)