• Title/Summary/Keyword: multimodal interaction

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Effects of a Short-term Multimodal Group Intervention Program on Cognitive Function and Depression of the Elderly (단기 집단 복합중재가 정상 노인의 인지기능 및 우울에 미치는 영향)

  • Jung, Beom-Jin;Choi, Yu-Jin
    • Therapeutic Science for Rehabilitation
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    • v.8 no.3
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    • pp.57-68
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    • 2019
  • Purpose: This study aimed to investigate the effects of a short-term group multimodal intervention program that mixes physical activity, cognitive motion, and social interaction, on the cognitive function and depression level of healthy over 75-year-old individuals. Method: This study used a one group pre-test-post-test design, and intervention was made for 70 minutes per session, once a week, for four sessions in total. To compare changes in cognitive function, depression level and physical function before and after intervention, this study used the Mini-Mental State Examination-Dementia Screening (MMSE-DS), Geriatric Depression Scale-Short Form (GDS-SF), and Berg Balance Scale (BBS). Result: After applying group multimodal interventions to healthy over 75-year-old individuals, there was a statistically significant improvement in their cognitive function (p < 0.01), and there was a statistically significant decrease in their depression level (p < 0.05). Also, there was an increase in the rating score of the degree of balance from $46.83{\pm}9.11$ points before the intervention, to $48.08{\pm}7.00$ points after the intervention; however, it was not statistically significant (p > 0.05). Conclusion: Short-term group multimodal intervention that mixes physical activity, cognitive motion, and social interaction had a significant effect on slowing down the deterioration of cognitive function in healthy over 75 year-old individuals, and decreased their depression level. This study is significant in that it presents a foundation for providing more systematic intervention for the prevention of dementia and depression in the healthy older individuals. Follow-up studies should verify the result through research on the effects of an occupational therapist's professional treatment, and experimental group-control research.

A Study on User Experience Factors of Display-Type Artificial Intelligence Speakers through Semantic Network Analysis : Focusing on Online Review Analysis of the Amazon Echo (의미연결망 분석을 통한 디스플레이형 인공지능 스피커의 사용자 경험 요인 연구 : 아마존 에코의 온라인 리뷰 분석을 중심으로)

  • Lee, Jeongmyeong;Kim, Hyesun;Choi, Junho
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.3
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    • pp.9-23
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    • 2019
  • The artificial intelligence speaker market is in a new age of mounting displays. This study aimed to analyze the difference of experience using artificial intelligent speakers in terms of usage context, according to the presence or absence of displays. This was achieved by using semantic network analysis to determine how the online review texts of Amazon Echo Show and Echo Plus consisted of different UX issues with structural differences. Based on the physical context and the social context of the user experience, the ego network was constructed to draw out major issues. Results of the analysis show that users' expectation gap is generated according to the display presence, which can lead to negative experiences. Also, it was confirmed that the Multimodal interface is more utilized in the kitchen than in the bedroom, and can contribute to the activation of communication among family members. Based on these findings, we propose a user experience strategy to be considered in display type speakers to be launched in Korea in the future.

Emotion Recognition Implementation with Multimodalities of Face, Voice and EEG

  • Udurume, Miracle;Caliwag, Angela;Lim, Wansu;Kim, Gwigon
    • Journal of information and communication convergence engineering
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    • v.20 no.3
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    • pp.174-180
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    • 2022
  • Emotion recognition is an essential component of complete interaction between human and machine. The issues related to emotion recognition are a result of the different types of emotions expressed in several forms such as visual, sound, and physiological signal. Recent advancements in the field show that combined modalities, such as visual, voice and electroencephalography signals, lead to better result compared to the use of single modalities separately. Previous studies have explored the use of multiple modalities for accurate predictions of emotion; however the number of studies regarding real-time implementation is limited because of the difficulty in simultaneously implementing multiple modalities of emotion recognition. In this study, we proposed an emotion recognition system for real-time emotion recognition implementation. Our model was built with a multithreading block that enables the implementation of each modality using separate threads for continuous synchronization. First, we separately achieved emotion recognition for each modality before enabling the use of the multithreaded system. To verify the correctness of the results, we compared the performance accuracy of unimodal and multimodal emotion recognitions in real-time. The experimental results showed real-time user emotion recognition of the proposed model. In addition, the effectiveness of the multimodalities for emotion recognition was observed. Our multimodal model was able to obtain an accuracy of 80.1% as compared to the unimodality, which obtained accuracies of 70.9, 54.3, and 63.1%.

Multi - Modal Interface Design for Non - Touch Gesture Based 3D Sculpting Task (비접촉식 제스처 기반 3D 조형 태스크를 위한 다중 모달리티 인터페이스 디자인 연구)

  • Son, Minji;Yoo, Seung Hun
    • Design Convergence Study
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    • v.16 no.5
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    • pp.177-190
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    • 2017
  • This research aims to suggest a multimodal non-touch gesture interface design to improve the usability of 3D sculpting task. The task and procedure of design sculpting of users were analyzed across multiple circumstances from the physical sculpting to computer software. The optimal body posture, design process, work environment, gesture-task relationship, the combination of natural hand gesture and arm movement of designers were defined. The preliminary non-touch 3D S/W were also observed and natural gesture interaction, visual metaphor of UI and affordance for behavior guide were also designed. The prototype of gesture based 3D sculpting system were developed for validation of intuitiveness and learnability in comparison to the current S/W. The suggested gestures were proved with higher performance as a result in terms of understandability, memorability and error rate. Result of the research showed that the gesture interface design for productivity system should reflect the natural experience of users in previous work domain and provide appropriate visual - behavioral metaphor.

A Bridge Technique of Heterogeneous Smart Platform supporting Social Immersive Game (소셜 실감 게임을 위한 이기종 스마트 플랫폼 브릿지 기술)

  • Jang, S.E.;Tang, J.M.;Kim, Sangwook
    • Journal of Korea Multimedia Society
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    • v.17 no.8
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    • pp.1033-1040
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    • 2014
  • Recently, the concept of mobile content service has changed from providing unilaterally contents for single-device to providing same contents for multi-device. This service should be able to provide diverse contents for multi-devices without platform and specification of multi-device. In this study, we propose a bridge technique of heterogeneous smart platform supporting social immersive game. It is possible to access social immersive game by using a multi-platform bridge. To achieve this, we explain techniques of device connection and data transmission between heterogeneous devices using server-client structure and UPnP. It provides an immersive game environment for multi-user, which is able to play in a public place using big screen.

Research of Vehicle Navigation Based Video-GIS

  • Feng, Jiang-Fan;Zhu, Guan-Yu;Liu, Zhao-Hong;Li, Yan
    • Journal of Korea Spatial Information System Society
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    • v.11 no.2
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    • pp.39-44
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    • 2009
  • In order to make the effect of the navigation system more direct, the paper proposes a thought of vehicle navigation system based on Video-GIS. A semantic framework has been defined whose core is focused on the integration and interaction of video and spatial information, which supports full content retrieval based on multimodal metadata extraction and fusion, and supports kinds of wireless access mode. Furthermore, requirements of prototype system are discussed. Then the design and implementation of framework are discussed. Next, describe the key ideas and technologies involved. Finally, we point out its future research trend.

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Implementation of Pen-Gesture Recognition System for Multimodal User Interface (멀티모달 사용자 인터페이스를 위한 펜 제스처인식기의 구현)

  • 오준택;이우범;김욱현
    • Proceedings of the IEEK Conference
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    • 2000.11c
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    • pp.121-124
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    • 2000
  • In this paper, we propose a pen gesture recognition system for user interface in multimedia terminal which requires fast processing time and high recognition rate. It is realtime and interaction system between graphic and text module. Text editing in recognition system is performed by pen gesture in graphic module or direct editing in text module, and has all 14 editing functions. The pen gesture recognition is performed by searching classification features that extracted from input strokes at pen gesture model. The pen gesture model has been constructed by classification features, ie, cross number, direction change, direction code number, position relation, distance ratio information about defined 15 types. The proposed recognition system has obtained 98% correct recognition rate and 30msec average processing time in a recognition experiment.

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Design and Evaluation of Multisensory Interactions to Improve Artwork Appreciation Accessibility for the Visually Impaired People (시각장애인의 미술 작품 감상 접근성을 높이는 다중감각 인터랙션의 설계 및 평가)

  • Park, Gyeongbin;Jo, Sunggi;Jung, Chanho;Choi, Hyojin;Hong, Taelim;Jung, Jaeho;Yang, Changjun;Wang, Chao;Cho, Jundong;Lee, Sangwon
    • Science of Emotion and Sensibility
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    • v.23 no.1
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    • pp.41-56
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    • 2020
  • This study suggests multisensory interaction techniques to help visually impaired people appreciate and understand artworks through non-visual senses such as tactile, auditory, and olfactory senses. A user study was conducted on the basis of a qualitative interview about the experience of appreciating artwork through the multisensory interaction system to visually impaired people so as to verify the development of the interaction techniques. The user test shows that the multisensory interactions in artwork generally not only help them appreciate and understand it but also give them satisfaction through artwork appreciation. However, it also indicates that some multisensory interactions caused the visually impaired people confusion and could not be perceived during the appreciation. On the basis of these outcomes, implications in this study are as follows. This study has contributed to providing specific development guidelines and indicators of non-visual multisensory interactions as a technical alternative to improve accessibility to cultural and artistic activities for the visually impaired. Furthermore, this study is expected to contribute to building a technical background, which can provide comprehensive sensory experiences with not only blind people but also non-blind people such as children and the elderly through universal interaction techniques beyond existing visual-oriented fragmentary experience.

Exploring the Effects of Passive Haptic Factors When Interacting with a Virtual Pet in Immersive VR Environment (몰입형 VR 환경에서 가상 반려동물과 상호작용에 관한 패시브 햅틱 요소의 영향 분석)

  • Donggeun KIM;Dongsik Jo
    • Journal of the Korea Computer Graphics Society
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    • v.30 no.3
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    • pp.125-132
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    • 2024
  • Recently, with immersive virtual reality(IVR) technologies, various services such as education, training, entertainment, industry, healthcare and remote collaboration have been applied. In particular, researches are actively being studied to visualize and interact with virtual humans, research on virtual pets in IVR is also emerging. For interaction with the virtual pet, similar to real-world interaction scenarios, the most important thing is to provide physical contact such as haptic and non-verbal interaction(e.g., gesture). This paper investigates the effects on factors (e.g., shape and texture) of passive haptic feedbacks using mapping physical props corresponding to the virtual pet. Experimental results show significant differences in terms of immersion, co-presence, realism, and friendliness depending on the levels of texture elements when interacting with virtual pets by passive haptic feedback. Additionally, as the main findings of this study by statistical interaction between two variables, we found that there was Uncanny valley effect in terms of friendliness. With our results, we will expect to be able to provide guidelines for creating interactive contents with the virtual pet in immersive VR environments.

Text Mining Analysis of Customer Reviews on Public Service Robots: With a focus on the Guide Robot Cases (텍스트 마이닝을 활용한 공공기관 서비스 로봇에 대한 사용자 리뷰 분석 : 안내로봇 사례를 중심으로)

  • Hyorim Shin;Junho Choi;Changhoon Oh
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.787-797
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    • 2023
  • The use of service robots, particularly guide robots, is becoming increasingly prevalent in public institutions. However, there has been limited research into the interactions between users and guide robots. To explore the customer experience with the guidance robot, we selected 'QI', which has been meeting customers for the longest time, and collected all reviews since the service was launched in public institutions. By using text mining techniques, we identified the main keywords and user experience factors and examined factors that hinder user experience. As a result, the guide robot's functionality, appearance, interaction methods, and role as a cultural commentator and helper were key factors that influenced the user experience. After identifying hindrance factors, we suggested solutions such as improved interaction design, multimodal interface service design, and content development. This study contributes to the understanding of user experience with guide robots and provides practical suggestions for improvement.