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One-pot synthesis of NiFe foam-supported FeWO4/Ni3Se2 nanocomposites and their enhanced electrocatalytic performance for oxygen evolution reaction
No full textThe development of composite nanocatalysts having strong interactions with electrode materials is important to enhance the reactivity and stability of catalysts used in electrochemical reactions. In this study, we report a method for directly growing FeWO4/Ni3Se2 composite nanocatalysts on the nickel–iron foam (NFF) surfaces, utilizing nickel (Ni) and iron (Fe) in NFF as precursors for synthesizing Ni3Se2 and FeWO4, respectively. The composite nanocatalysts, serving as electrode materials, are formed by the reaction of W precursor and Se precursors with NFF and exhibited high catalytic activity and long-term stability in oxygen and hydrogen evolution reactions. © 2024 Elsevier B.V.FALSEsciescopu
Full-dry flipping transfer method for van der waals heterostructure
No full textWe present a novel flipping transfer method for van der Waals heterostructures, offering a significant advancement over previous techniques by eliminating the need for polymers and solvents. Here, we utilize commercially available gel film and control its stickiness through oxygen plasma and UV-Ozone treatment, also effectively removing residues from the gel film surface. The cleanliness of the surface is verified through atomic force microscopy. We investigate the quality of our fabricated devices using magnetotransport measurements on graphene/hBN and graphene/α-RuCl3 heterostructures. Remarkably, graphene/hBN devices produced with the flipping method display quality similar to that of fully encapsulated devices. This is evidenced by the presence of a symmetry-broken state at 1 T. Additionally, features of the Hofstadter butterfly were also observed in the second devices. In the case of graphene/α-RuCl3, we observe quantum oscillations with a beating mode and two-channel conduction, consistent with fully encapsulated devices. © 2023 Korean Physical SocietyFALSEsciescopuskc
동적 모델링을 사용한 증강현실 기반 관절경 수술 내비게이션
No full textArthroscopy (관절경 수술);Augmented reality (증강현실);Bone movement compensation (뼈 움직임 보정);Dynamic modeling (동적 해부학 모델링)Minimally invasive arthroscopy has advantages in small injuries and rapid patient recovery, leading to an annual increase in arthroscopic surgeries. However, arthroscopy has a long learning curve for surgeons, with a high complication rate. Difficulties in arthroscopy can be overcome using augmented reality (AR)-based surgical navigation. However, the intraoperative joint condition is different from preoperative computed tomography (CT) or magnetic resonance (MR) due to the motion applied during surgery, and inaccurate AR occurs. This study aims to present a real-time and non-invasive AR-based surgical navigation for arthroscopy based on a kinematic and dynamic approach-based bone movement compensation algorithm.
Considering the distinct anatomical structures and surgical environment of arthroscopic surgeries, we developed both kinematic and dynamic approaches. For the kinematic approach, we proposed patient-specific virtual bone links with non-invasive artificial landmarks, and wrist arthroscopy was selected as the application of this approach. Two non-invasive fiducial markers were attached to the back of the hand before surgery to measure the effect of wrist traction during surgery. In addition, two virtual links were implemented to connect the wrist bones aligned in the direction of the fingers. When wrist traction occurs during the operation, the displacement of the fiducial marker is measured, and bone movement compensation is applied to move the virtual links. The effectiveness of the proposed kinematic approach-based bone movement compensation for the wrist was verified using in vivo CT data of 10 participants. The camera calibration for the arthroscope was performed to introduce AR, and a patient-specific template was used for registration between the patient and the wrist bone model.
Regarding the dynamic approach, we propose a patient-specific association model between the finite element models of the joint surface and internal bones, and the ACL and PCL reconstruction among knee arthroscopy was selected as the application of this approach. In the association model, the knee surface and internal bones were modeled as hexahedron and tetrahedron linear elastic finite elements based on the extension state of preoperative knee CT. The association model propagates the displacement of the knee surface model and the reaction force of the internal bone model each other. When knee flexion occurs during operation, the real-time shape of the knee surface is measured using a Red-Grean-Blue-Depth (RGBD) camera, and the association model is accordingly deformed using the collected data. The proposed kinematic approach-based bone movement compensation method for the knee was verified with the in vivo CT data of 6 participants. To introduce AR, the Iterative Closest Points (ICP) algorithm was used for registration between the patient and the association model.
The proposed method successfully compensates for the movement of the wrist and knee bones with an accuracy of 1.4 mm and 3.85 mm margin, respectively. In addition, a phantom experiment was introduced, simulating the real surgical environment. In the wrist, the proposed method allowed accurate AR visualization of the concealed bones and expansion of the limited field of view (FOV) of the arthroscope. In the knee, it was possible to guide the drilling position determined from the preoperative CT accurately. In addition, the proposed method directly visualized the location of the lateral and medial epicondyle of the femur, which required palpation in standard knee arthroscopy. The proposed bone movement compensation can also be applied to other joints, such as the ankle or shoulders, by representing their bone movements using corresponding virtual bone links or association models.|본 논문은 수술 중에 발생하는 관절의 움직임을 반영하는 증강현실 기반 수술 내비게이션 구현에 대해 다룬다. 관절경 수술은 절개 부위가 작아 환자의 회복이 빠르고, 고령화 등의 영향으로 매년 수술 건수가 증가하고 있다. 하지만 관절경 수술은 시야가 좁고 기구의 움직임이 제한되어 학습곡선이 길고 합병증 비율이 높다. 증강현실 기반 수술 내비게이션으로 주요 해부학적 구조물인 뼈의 위치를 안내하면 관절경 수술의 난이도를 낮출 수 있다. 관절은 수술 기구 진입 등을 위해 수술 중에 움직이기 때문에 수술 전에 촬영된 의료영상을 증강현실에 바로 사용하면 큰 오차가 발생한다. 따라서 이 연구는 관절경 수술을 위해 실시간으로 관절 내부 뼈의 움직임을 보정하는 알고리즘을 개발하고 증강현실 시각화에 사용한다.
관절마다 해부학적 구조가 다르고 수술 환경도 다르기 때문에 운동학적 및 동역학적 방법이 각각 개발되어 수술 환경에 맞는 방법을 고를 수 있도록 하였다. 손목 관절경 수술을 예시로 한 운동학적 방법에선 손가락 방향으로 정렬된 뼈들을 연결하는 두 개의 가상 링크와 손등에 부착되는 비침습 마커가 제안되었다. 수술 중 기구 삽입 공간 확보를 위해 손목 견인이 발생하면 비침습 마커의 이동 거리와 역기구학을 사용하여 가상 링크를 견인 방향으로 움직인다. 제안된 방법은 10명의 실험 참여자 CT (Computed Tomography)를 사용하여 평가되었다. 증강현실 시각화를 위해 관절경의 카메라 파라미터가 계산되었고 환자의 손목 형판을 사용하여 환자와 뼈 모델 사이 좌표계를 통일했다.
무릎 관절경 수술을 예시로 한 동역학적 방법에선 관절 표면과 내부 뼈의 유한요소모델 사이 상관모델이 제안되었다. 상관모델에서 관절 표면 모델은 변형 정보를 전파하고, 내부 뼈 모델은 변형에 따라 발생하는 힘을 전파한다. 수술 중에 무릎 굽힘 운동이 발생하면, 관절 표면의 변형은 깊이 카메라를 통해 실시간으로 측정되고, 상관 모델은 측정된 데이터를 사용하여 변형된다. 제안된 방법은 6명의 실험 참여자 CT를 사용해서 평가되었다. 증강현실 시각화를 위해 반복 최근접점 알고리즘을 사용하여 환자와 뼈 모델 사이 좌표계를 통일했다.
제안된 수술 중 관절 움직임 보정 알고리즘은 각각 1.4 mm와 3.85 mm의 오차를 보였다. 실제 수술 환경과 비슷하게 준비된 모형 실험에서 제안된 증강현실 기반 수술 내비게이션은 관절경의 시야를 확장했고 다른 구조물에 막혀 직접 보이지 않는 뼈의 형태를 시각화 했다. 특히 손목은 직경 2 mm의 작은 관절경이 사용되기 때문에 증강현실을 통한 시야 확장은 중요하다. 무릎에서는 기존에 촉진을 통해 위치를 찾아야 했던 대퇴골의 상과를 직접 시각화 함으로써 전방 및 후방 십자 인대 재건술을 위한 드릴링 위치를 직관적으로 안내할 수 있었다.List of Contents
Abstract i
List of contents · iii
List of figures · v
Ⅰ. Introduction
1.1 Complication rates of arthroscopy 1
1.2 AR-based surgical navigation and joint movement during arthroscopy 1
1.3 Previous studies on AR for joint surgery and its limitations 2
1.4 Proposed AR-based surgical navigation with joint movement compensation · 4
Ⅱ. Materials and Methods
2.1 AR-based surgical navigation for wrist arthroscopy with a kinematic approach 10
2.1.1 CT scan and 3D model reconstruction · 10
2.1.2 Virtual link system 11
2.1.3 Bone-movement compensation 14
2.1.4 AR visualization in wrist arthroscopy · 16
2.2 AR-based surgical navigation for knee arthroscopy with a dynamic approach 17
2.2.1 CT scan and finite element model of knee joint 18
2.2.2 Association model between knee surface and internal bones 20
2.2.3 Spring for collateral ligaments imitation · 22
2.2.4 Real-time knee deformation with association model 23
Ⅲ. Experiments and Results
3.1 AR-based surgical navigation for wrist arthroscopy with a kinematic approach 27
3.1.1 Experimental setup 27
3.1.2 Accuracy of kinematic approach-based bone movement compensation · 29
3.1.3 Wrist bone overlay in arthroscopic view · 31
3.2 AR-based surgical navigation for knee arthroscopy with a dynamic approach 32
3.2.1 Experimental setup 32
3.2.2 Accuracy of dynamic approach-based association model 34
3.2.3 Knee bones and drilling guidance overlay in surgical navigation 39
3.3 Performance evaluation of the surgical tasks · 40
Ⅳ. Discussions
Ⅴ. ConclusionsDoctordCollectio
Postoperative Long-Term Monitoring of Mechanical Characteristics in Reconstructed Soft Tissues Using Biocompatible, Immune-Tolerant, and Wireless Electronic Sutures
No full textAccurate postoperative assessment of varying mechanical properties is crucial for customizing patient-specific treatments and optimizing rehabilitation strategies following Achilles tendon (AT) rupture and reconstruction surgery. This study introduces a wireless, chip-less, and immune-tolerant in vivo strain-sensing suture designed to continuously monitor mechanical stiffness variations in the reconstructed AT throughout the healing process. This innovative sensing suture integrates a standard medical suturing thread with a wireless fiber strain-sensing system, which incorporates a fiber strain sensor and a double-layered inductive coil for wireless readout. The winding design of Au nanoparticle-based fiber electrodes and a hollow core contribute to the fiber strain sensor’s high sensitivity (factor of 6.2 and 15.1 pF for revised sensitivity), negligible hysteresis, and durability over 10,000 stretching cycles. To ensure biocompatibility and immune tolerance during extended in vivo periods, an antibiofouling lubricant layer was applied to the sensing suture. Using this sensing system, we successfully monitored the strain responses of the reconstructed AT in an in vivo porcine model. This facilitated the postoperative assessment of mechanical stiffness variations through a well-established analytical model during the healing period. © 2024 American Chemical SocietyFALSEsciescopu
METHOD AND APPARATUS OF ESTIMATING LOCATION OF A VEHICLE FOR AUTOMATIC DRIVING
No full text본 발명은 자율주행을 위한 차량의 위치추정 장치 및 방법에 관한 것으로, 보다 구체적으로, 차량의 위치추정에 있어서 상대 포즈 정보 추정 후 절대 포즈 정보를 추정하는 스캔 투 스캔(scan-to-scan) 및 스캔 투 맵(scan-to-map) 매칭 구조를 이용한 차량의 위치추정 기술에 관한 것으로, 본 발명의 일실시예에 따른 제1 및 제2 스캔데이터로부터 추출된 상대 특징 정보를 비교하여 차량의 상대 포즈(pose) 정보를 추정하는 상대 포즈 추정부, 상기 제2 스캔데이터로부터 추출된 제1 절대 특징 정보와 정밀도로지도 데이터에 포함된 제2 절대 특징 정보를 비교하여 상기 추정된 상대 포즈 정보를 기반으로, 상대 절대 포즈 정보를 추정하는 절대 포즈 추정부 및 상기 추정된 절대 포즈 정보와 상기 차량의 IMU(Inertial Measurement Unit) 정보 및 차량의 TWIST 정보 중 적어도 하나의 추가 정보를 융합하여 상기 차량의 위치를 추정하는 융합 추정부를 포함할 수 있다
WORK SPACE FORCE/ACCELERATION DISTURBANCE OBSERVER AND ROBOT INCLUDING THE SAME
No full text작업 공간 힘/가속도 외란 관측기 및 이를 포함하는 로봇이 제공된다. 상기 작업 공간 힘/가속도 외란 관측기는 작업 공간 내에서, 임피던스 기반 모션 제어기와 연결되고, 로봇의 엔드 이펙터에 가해지는 상호작용력과 가속도를 고려하여 외란 추정치를 획득하며, 상기 외란 추정치는 하기 수학식으로 표현되는 것을 특징으로 한다. 상기 는 외란 추정치이고, 상기 는 Q 필터이고, 는 제어 입력 힘이고, 상기 는 질량 행렬 추정치이고, 상기 는 가속도이고, 상기 는 상호작용력
ZnS/CoPi 이중 오버레이가 있는 TiO2 광양극을 사용한 광전기화학적 수소 생산
No full textPhotoelectrochemicalⅠ. Introduction 1
1.1 Photoelectrochemical : Green Hydrogen Generation 1
1.2 OER catalyst 3
1.3 Research Approach 4
1.4 References 5
Ⅱ. Characterization 8
2.1 Characterization 8
2.1.1 Scanning Electron Microscope(SEM) 8
2.1.2 High-resolution transmission electron microscopy (HR-TEM) 10
2.1.3 X-ray Diffraction(XRD) · 13
2.1.4 X-ray Photoelectric Spectroscopy(XPS) · 15
2.1.5 UV-Visible spectroscopy 18
2.2 References · 21
Ⅲ. Photoelecrochemical Hydrogen Production using TiO2 Photoanode with ZnS/CoPi
Double Overlayer. 22
3.1 Introduction 22
3.2 Experiment · 24
3.2.1 Materials · 24
3.2.2 Preparation TiO2 photoanode · 25
3.2.3 Doctor blading technique 26
3.2.4 Successive ionic layer adsorption and reaction (SILAR) method 26
3.2.5 ZnS passivation layer 28
3.2.6 Co-Pi Catalyst electrodeposit · 28
3.2.7 Photoelectrochemical performance test 29
3.2.8 Characterization 30
3.3 Results and Discussion 31
3.4 Conclusion · 52
3.5 References · 53
Ⅳ. Conclusion 56
4. Conclusion 56
Acknowledgment · 58
요약문 · 59MasterdCollectio
스마트워치 디바이스에서 사용자 경험 요소과 감성적 경험 파악하기
No full textSmartwatch; User Experiences; Emotional Experiences; Affective Computing; Embodied InteractionThe present study conducts a comprehensive analysis of smartwatch interactions, focusing on various dimensions such as user experience (UX) elements, feature usage, and emotional aspects associated with smartwatch usage. Divided into four chapters, the study employs multiple methodologies such as scoping reviews, qualitative online surveys, diary studies, and Reddit thread analysis, with each chapter contributing unique insights into smartwatch design, functionality, and emotional interactions. The study delineates key UX elements, offers design considerations, and recommends guidelines that address both functional and emotional user needs.
Chapter 3 focuses on a scoping review that identifies 24 UX elements within four overarching themes. Chapter 4 qualitatively assesses user preferences for smartwatch features through online surveys and provides pragmatic design recommendations. Chapter 5 describes 15 core UX elements and four temporality aspects through diary studies and Reddit thread analysis, proposing a user-centered framework for smartwatch UX design. Chapter 6 explores the emotional facets of smartwatch interactions through the Embodied Emotional Experience (EMX) framework, offering design strategies that prioritize physiological and cognitive aspects of emotion. Chapter 7 discusses all previous studies and proposes design guidelines for technology to support embodied emotional experiences in smartwatches.
The findings reveal a nuanced relationship between smartwatch interactions and users' emotional states, suggesting that features related to physical activity and notifications promote positive emotional responses, while health data monitoring elicits negative emotions. The research proposes several frameworks, including the Embodied Emotional Experience (EMX) framework, which emphasizes the integration of physiological and cognitive processes in shaping emotional experiences during smartwatch interactions. The implications extend to both design and practice, emphasizing the need to incorporate design guidelines and user-centered approaches. Designers are advised to consider both functional and emotional elements for an enhanced user experience. In practice, manufacturers should prioritize these two aspects to create a compelling user experience and a competitive advantage in the marketplace. This research serves as a foundational framework for further studies and practical implementations aimed at creating smartwatches that satisfy both functional and emotional user needs. It provides essential guidelines and considerations for future work by designers and developers of wrist-worn devices. Together, the work demonstrates the thesis statement: Optimal smartwatch design integrates a comprehensive set of user experience elements with emotional engagement that resonate on both functional and affect levels to increase user satisfaction and adaptation.
Keywords: Smartwatch, User Experiences, Emotional Experiences, Affective Computing, Embodied Interaction|본 논문은 스마트워치 상호작용에 대한 종합적인 분석을 수행하며, 사용자 경험(UX) 요소, 기능 활용, 스마트워치 사용과 관련된 감정 측면 등 다양한 차원에 중점을 둡니다. 네 개의 장으로 구성된 이 연구는 범위 검토, 질적 온라인 설문, 다이어리 스터디, 레딧 스레드 분석과 같은 다양한 방법론을 사용하며, 각 장은 스마트워치 디자인, 기능성, 감정 상호작용에 독특한 통찰력을 제공합니다. 연구는 주요 UX 요소를 설명하고, 디자인 고려사항을 제공하며, 기능적 및 감정적 사용자 요구를 다루는 지침을 추천합니다.
제 3장은 네 개의 주요 테마 내에서 24개의 UX 요소를 식별하는 범위 검토에 중점을 둡니다. 제 4장은 온라인 설문을 통해 스마트워치 기능에 대한 사용자 선호도를 질적으로 평가하며, 실용적인 디자인 권장사항을 제공합니다. 제 5장은 다이어리 스터디와 레딧 스레드 분석을 통해 15개의 핵심 UX 요소와 네 가지 시간성 측면을 설명하며, 스마트워치 UX 디자인을 위한 사용자 중심의 프레임워크를 제안합니다. 제 6장은 신체적 감정 경험(EMX) 프레임워크를 통해 스마트워치 상호작용의 감정 측면을 조사하며, 감정의 생리적 및 인지적 측면을 우선시하는 디자인 전략을 제공합니다. 제 7장은 이전의 모든 연구를 논의하며, 스마트워치에서 신체화된 감정 경험을 지원하기 위한 기술에 대한 디자인 지침을 제안합니다.
연구 결과는 스마트워치 상호작용과 사용자의 감정 상태 사이의 미묘한 관계를 보여주며, 신체 활동과 알림과 관련된 기능이 긍정적인 감정 반응을 유도하는 반면, 건강 데이터 모니터링은 부정적인 감정을 불러일으킵니다. 이 연구는 신체적 감정 경험(EMX) 프레임워크를 포함하여 여러 프레임워크를 제안하며, 스마트워치 상호작용 중 감정 경험을 형성하는 데 생리적 및 인지적 과정의 통합을 강조합니다. 의미는 디자인과 실천 모두에 확장되며, 감정 디자인 지침과 사용자 중심 접근법을 통합할 필요성을 강조합니다. 디자이너는 향상된 사용자 경험을 위해 기능적 및 감정적 요소를 모두 고려해야 합니다. 실용적으로, 제조업체는 이러한 이중 측면에 우선 순위를 두어 시장에서 경쟁력 있는 사용자 경험을 구축해야 합니다. 이 연구는 기능적 및 감정적 사용자 요구를 모두 충족시키는 스마트워치를 만드는 데 대한 추가 연구와 실용적인 구현을 위한 기초적인 프레임워크로 작용합니다. 이는 손목 착용 장치의 디자이너와 개발자에게 미래 작업을 위한 필수 지침과 고려사항을 제공합니다. 함께, 이 연구는 논문의 주장을 보여줍니다: 최적의 스마트워치 디자인은 사용자 경험의 포괄적인 요소들과 감정적 관여를 통합하여 기능적 및 정서적 수준에서 울림을 주어 사용자의 만족도와 적응을 높입니다.
핵심어: 스마트워치, 사용자 경험, 감성적 경험, 감성 컴퓨팅, 구현된 상호 작용Ⅰ. Introduction 1
1.1 Background 1
1.2 Contributions 10
1.3 Thesis Structure 11
ⅠI. Related works 13
2.1 Human-Computer Interaction in Wearable Technology 13
2.2 Smartwatch Wearing Behavior 15
2.3 User Experience (UX) 16
2.3.1 UX studies for smart devices 21
2.3.2 UX studies for wearable devices 24
2.4 Affective Computing and Psychology of Emotions in Relation to Technology Use 26
2.5 Emotional Experiences 28
2.5.1 Circumplex Model of Affect 28
2.5.2 Emotion Quadrant 29
2.5.3 Emotion Mapping Quadrant 30
2.6 Smartwatch Emotional States 31
2.7 Social Networking Sites (SNS) 33
2.7.1 Reddit 33
2.8 Crowdsourcing 35
2.8.1 Prolific 37
ⅠII. A Scoping Review on User Experience Element Considerations of Smartwatches 40
3.1 Research Purpose and Research Question 40
3.2 Methodology 40
3.2.1 Planning, Search, and Selection Criteria 40
3.2.2 Study Selection 42
3.2.2.1 Identification 42
3.2.2.2 Screening 42
3.2.2.3 Eligibility 43
3.2.3 Data Extraction and Analysis 45
3.3 Result 48
3.3.1 Users’ Internal State 49
3.3.2 Perceived Usability 50
3.3.3 Perceived Quality 52
3.3.4 Perceived Acceptance 53
3.4 Discussion and Conclusion 54
ⅠV. Understanding Smartwatch Features: Between Satisfaction and Future Needs 56
4.1 Research Purpose and Research Question 56
4.2 Methodology 56
4.2.1 Participants 57
4.2.2 Procedures 58
4.2.3 Data Analysis 59
4.3 Result 59
4.3.1 RQ1: Satisfied smartwatch features 59
4.3.2 RQ2: Smartwatch aspects that need improvement 63
4.3.3 RQ3: Future smartwatch feature needs 67
4.4 Discussion 70
4.4.1 Evaluation of smartwatch usage 71
4.4.2 Challenges of smartwatch usage 72
4.4.3 Future innovations of smartwatches 74
4.4.4 Design considerations and recommendations 75
V. Determining Smartwatch User Experiences (UX) Elements 78
5.1 Research Purpose and Research Question 78
5.2 Pilot study 78
5.3 Research framework 80
5.4 Phase 1: Identification 81
5.4.1 Diary study 81
5.4.1.1 Participants 82
5.4.1.2 Procedure and diary design 83
5.4.1.3 Data analysis 86
5.4.1.4 Result 87
5.4.2 Crawling Reddit thread 92
5.4.2.1 Data crawling procedure 92
5.4.2.2 Data analysis 93
5.4.2.3 Result 95
5.5 Phase 2: Integration 96
5.5.1 Factor compilation 97
5.5.1.1 Participants 97
5.5.1.2 Procedure 98
5.5.1.3 Data analysis 99
5.5.1.4 Result 99
5.6 Discussion 107
5.6.1 Temporality of Smartwatch UX 107
5.6.2 A Framework for Considering Smartwatch User Experience Design 111
VI. Emotional Resonance and User Experience: An Analysis of Human-Smartwatch Interaction 123
6.1 Research Purpose, Research Question, and Hypothesis 123
6.2 Methodology 123
6.2.1 Data Analysis 123
6.3 Result 125
6.3.1 Descriptive of Smartwatch Feature Categories and Emotion Mapping Quadrants 125
6.3.2 The Relationship between Smartwatch Features and Emotional Experiences 127
6.3.3 The Embodied Emotional Experience (EMX) Framework in Smartwatches 131
6.4 Discussion 144
6.4.1 The Relationship between Smartwatch Features and Emotional Experiences 144
6.4.2 Problem Discoveries from The Embodied Emotional Experience 150
6.4.3 Strategies for The Design of Technologies for Embodied Emotional Experience in Smartwatches 155
6.4.4 The Limitations of The Proposed Emotion Mapping Quadrant Model 163
VII. General Discussion and Conclusion 164
7.1 Research Contributions and Findings 164
7.2 General Discussion and Implications 167
7.2.1 Discussing the Results in Relation to Related Work 167
7.2.1.1 Embodied Interaction, Affective Computing, and Embodied Emotional Experiences 169
7.2.1.2 Intersection: Technology to Support Embodied Emotional Experiences 171
7.2.2 Design Guidelines for Embodied Emotional Experiences in Smartwatches 172
7.2.3 Implications 178
7.2.3.1 Implications for Design 178
7.2.3.2 Implications for Practice 179
7.3 Limitations and Future Works 179
7.4 Conclusion 181
References 182
요약문 197
Appendices 198MasterdCollectio
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