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第十七届国际工效学大会暨中国人类工效学会成立20周年庆祝大会

作者： Anders Lindgren Paul Alvarado Mendoza Interaction Design Collegium Department of Computer Science and EngineeringChalmers University of Technology

Yearly Almost 80,000 people are killed in traffic accidents in China due to the rapid growth of the num-ber of *** safety has become one of the most important social problems that need to be *** data findings show that driver behaviors are a part of the main contributing factor related to traffic *** is a need to increase safety and cars are being equipped with new active safety technology known as Advanced Driver Assistant Systems(ADAS) that helps by warning drivers before accidents occur.A simulator study with 16 participants was carried out using a driving simulator and an integrated visual interface prototype developed by Chalmers University of Technology in *** interface presents information visually to the driver before any critical situation with help from three Advanced Driver Assistance Systems,Forward Collision Warning(FCW),Curve Speed Warning(CSW) and Lane Departure Warning(LDW).The prototype also provides critical sound warnings for FCW(if the driver is too close to the car in front),CSW(the driver has too high speed entering a curve) and LDW(when a lane departure occurs and the turn-lights are not used).Questionnaires and open-ended interviews were held to subjectively measure the participants? attitude toward the sound warnings and visual *** results showed that most participants thought the sound warning could facilitate their driving while most users? attitude towards the visual display warning were comparatively *** majority of participants accepted the sound warnings and believed that they could help them perceive the potential danger in real driving *** results also showed that the sound warning system design needed to be improved as well,e.g.,many participants thought the sound warning occurred too frequent-ly,especially for experienced *** is a need to conduct further studies to better understand how ADAS technology can be designed to suite Chines

关键词： Acceptance of Integrated Active Safety Systems in China Active

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What motivates bladder cancer patients to be active? A qualitative study assessing attitudes towards physical activity and digital health technologies

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Urologic Oncology: Seminars and Original Investigations 2025年

作者： Alex Zhu Jessica Sher Richard Li Otari Ioseliani Leah Cantor Elena G. Brewer Karla Landis David Bridges Sean A. Munson Hanna Hunter Cindy Lin Sarah P. Psutka Department of Urology University of Washington Seattle WA Department of Rehabilitation Medicine University of Washington Seattle WA University of Washington Paul G. Allen School of Computer Science & Engineering Seattle WA The Sports Institute at UW Medicine Seattle WA Department of Human Centered Design & Engineering University of Washington Seattle WA Clinical Research Division Fred Hutchison Cancer Center Seattle WA

Introduction and Objective Patients undergoing neoadjuvant chemotherapy (NAC) and radical cystectomy (RC) are often older, frail and deconditioned, leaving them with limited reserve to endure the demands of treatment. As a result, improving physical fitness in this population remains a critical need. Two emerging means to do so include the implementation of exercise programs pre- and postsurgery (i.e. (p)rehabilitation), and the use of digital health technologies (i.e. Fitbit®, Apple Watch™, exercise apps) to incentivize physical activity. However, little is known about the motivations of NAC/RC patients to be active or their perceptions towards digital health technologies. Methods We conducted semi-structured interviews with bladder cancer survivors who previously underwent NAC/RC. We asked participants to reflect upon their experience throughout the course of treatment as it pertained to (1) barriers of physical activity, (2) facilitators of physical activity, and (3) how digital health technologies can promote physical activity. These findings will inform the design of a Phase II exercise prehabilitation trial (GetMoving, NCT06040762). Results 9 patients were interviewed and common themes emerged. Patients undergoing NAC/RC desired a structured exercise plan outlining the duration, intensity and frequency of exercise to perform. Encouragement to exercise and “check ins” from their provider were critical in maintaining their motivation to exercise. Objective measurements of their fitness would help with setting fitness goals and adhering to training plans. All patients would use digital health technologies to improve their health. Conclusions We provide a novel study assessing the perceptions of bladder cancer survivors towards exercise motivations and digital health technologies.

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In-vehicle information system used in complex and low traffic situations: Impact on driving performance and attitude

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4th International Conference on Universal Access in Human-computer interaction, UAHCI 2007

作者： Jonsson, Ing-Marie Fang, Chen Ansima Inc. Los Gatos CA 95033 United States Interaction Design Group Department of Computer Science and Engineering Chalmers University of Technology SE-412 96 Göteborg Sweden

ISBN: (纸本)9783540732808

This paper describes a study where drivers' responses to an invehicle information system were tested in high and low density traffic. There were 17 participants in a study that was run using a driving simulator. Data was gathered for a comparison of how drivers react to an in-vehicle information system in low density traffic, complex traffic, and without system. Participants were also asked for their subjective evaluation of trust of the system and how they perceived it influenced their driving performance. Results show gender differences for both driving performance and attitude. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Information systems

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Movits: a Minimalist Toolkit for Embodied Sketching

Movits: a Minimalist Toolkit for Embodied Sketching

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2024 ACM designing Interactive Systems Conference, DIS 2024

作者： Vega-Cebrián, José Manuel Vidal, Laia Turmo Tajadura-Jiménez, Ana Covas, Tomás Bonino Segura, Elena Márquez Department of Computer Science and Engineering Universidad Carlos III de Madrid Madrid Spain Media Technology and Interaction Design KTH Royal Institute of Technology Stockholm Sweden UCL Interaction Centre University College London London United Kingdom ESITEF Madrid Spain

ISBN: (纸本)9798400705830

We present the design and evaluation of the Movits, a minimalist toolkit for embodied sketching design explorations. The toolkit includes technology probes featuring minimalist wearable digital units that support the hands-on exploration and design of movement-driven interactions using multisensory feedback. The Movits are self-contained and generate audiovisual or vibrotactile patterns in response to movement-based inputs. We present the theoretical and empirical grounding driving our design process. We discuss the fndings of using the Movits during four co-design workshops with design students, technologists, dancers and physiotherapists, where they resulted in being generative and adaptable to a range of embodied design approaches. We contend that the Movits can be favourable for those interested in a holistic design approach to wearables in general and specifcally for those targeting movement-based application domains. © 2024 Copyright held by the owner/author(s).

关键词： Biofeedback

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Engaging Environmental Learning: A Tangible Approach for Conveying Environmental Data in Education Using Weight 24

Engaging Environmental Learning: A Tangible Approach for Con...

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18th International Conference on Tangible, Embedded, and Embodied interaction, TEI 2024

作者： Hedin, Bjorn Blomqvist, Anders G. Menon, Arjun Rajendran Kth Royal Institute of Technology Department of Learning in Engineering Science Sweden Kth Royal Institute of Technology Vetenskapens Hus Sweden Kth Royal Institute of Technology Division of Media Technology and Interaction Design Sweden

ISBN: (纸本)9798400704024

This paper presents a novel method for communicating environmental information in an engaging and memorable manner. Instead of traditional visual or written communication, our approach involves physical representation of data, using weight as the key element. Using food as a case study, we demonstrate the carbon footprint of food items through life-sized models that accurately reflect their actual weight. In an educational setting, students collectively discuss and estimate emissions for sample foods, followed by hands-on interaction. Each model's weight mirrors its carbon footprint, from 50 grams for half a kilo of potatoes to 13 kilograms for half a kilo of beef. Early tests show a significant "Wow!"factor, particularly for high-emission foods. This tangible experience leaves a lasting impression, potentially influencing future choices. Our approach can extend to other areas like energy. The paper concludes with design recommendations for future work. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Sustainable development

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Use your head - Exploring face tracking for mobile interaction

Use your head - Exploring face tracking for mobile interacti...

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Conference on Human Factors in Computing Systems, CHI EA 2006

作者： Hansen, Thomas Riisgaard Eriksson, Eva Lykke-Olesen, Andreas Pervasive Healthcare Department of Computer Science University of Aarhus Aabogade 34 DK8200 Aarhus N Denmark IDC/Interaction Design Collegium Department of Computer Science and Engineering Chalmers University of Technology SE-41296 Göteborg Sweden Department of Design Aarhus School of Architecture Nørreport 20 DK8000 Aarhus C Denmark

ISBN: (纸本)1595932984

In this paper we present how face tracking can be implemented on mobile devices. Our main contribution is to present how face tracking on mobile systems can be used as a multi-dimensional input technique and to demonstrate how this can be used in different mobile applications. We present at set of different applications based on the tracking, and discuss current and future advantages, challenges and problems with face tracking as input device for mobile systems.

关键词： computer vision

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Sparse-View CT Reconstruction Based on Improved Re-Sidual Network

Sparse-View CT Reconstruction Based on Improved Re-Sidual Ne...

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作者： Qian, Yufei Xie, Shipeng Zhuang, Wenqin Li, Haibo College of Telecommunications & Information Engineering Nanjing University of Posts and Telecommunications NanjingJiangsu210003 China Department of Media Technology and Interaction Design School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm10044 Sweden

With the development of CT imaging, people have higher requirements for the quality of CT image reconstruction. It is desirable to use as low as reasonably achievable X-ray dose while meeting the quality of imaging requirements. Sparse-view reconstruction is a valid measure to resolve the radiation dose problem. Owing to the angular range of projection data does not satisfy the data completeness condition, sparse-view reconstruction has always been a conundrum in CT image reconstruction. In this paper, we introduces a new CT sparse-view reconstruction algorithm, which bases on the residual network. We optimize traditional residual models by improving the superfluous modules and reducing unnecessary calculations. Compared to several other classic methods, the experimental results with our network obtained better consequent, regarding artifact reduction, feature preservation, and computational speed. © Springer Nature Switzerland AG 2020.

关键词： Image reconstruction

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Conversational Product Recommendation using LLM 4

Conversational Product Recommendation using LLM

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4th IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2024

作者： Chang, Ting-Jui Lin, Lydia Hsiao-Mei Tsai, Richard Tzong-Han National Central University Department of Computer Science and Information Engineering Taoyuan Taiwan National Taipei University of Technology Department of Interaction Design Taipei Taiwan Research Center for Humanities and Social Sciences Academia Sinica Taipei Taiwan

ISBN: (纸本)9798350360721

It is expected to deploy chatbots as sales assistants on e-commerce platforms soon. In recent years, the capabilities demonstrated by large language models (LLMs) indicate their suitability for this role. However, a dialogue process is not fully established. Most existing works concentrate on searching for ideal products, such as Retrieval-Augmented Generation (RAG) and product search. Many proposed methods rely on product reviews. However, in the case of some e-commerce platform products, valuable reviews are often lacking, rendering these approaches impractical. Thus, we studied how to assist users and select a set of candidate products. Accordingly, we simulated sales conversations based on the product features provided by the seller, using LLM and reliable content while addressing the cold-start problem. Specifically, we used product features to generate customer persona for user simulation. LLM was used to play the role of sales assistant in giving recommendations. The experimental results showed that practical conversation was created between customers and chatbots in Traditional Chinese. The code and results are available at: https://***/terryobe-ncu/CPR_LLM © 2024 IEEE.

关键词： Sales

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Integrating Image Recognition and Board Games into Financial Education 16

Integrating Image Recognition and Board Games into Financial...

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16th Asia-Pacific Workshop on Mixed and Augmented Reality, APMAR 2024

作者： Hung, Yu-Han Chao, Hao-Bin Liou, Jie-Sin Han, Ping-Hsuan Hsieh, Yi-Zeng Fan, Ping-Lin Chou, Chien-Hsing Department of Mathematics and Information Education National Taipei University of Education Taiwan Department of Interaction Design National Taipei University of Technology Taiwan Department of Electrical and Computer Engineering National Taiwan University of Science and Technology Taiwan Department of Digital Technology Design National Taipei University of Education Taiwan

As financial products diversify and market structures become more complex, promoting financial education has become increasingly important. Given that the foundation of financial literacy should be established from childhood, how to cultivate students' correct financial management concepts from a young age has become a significant issue in modern society. Considering the substantial advantages of game-based learning in providing high interactivity and real-world scenario simulations, this paper aims to develop an innovative financial education board game that incorporates elements of risk assessment and insurance planning, and digitalizes it. With the assistance of an app and the application of image recognition technology, we could enhance the convenience and fun of the gameplay. Research results show that integrating digital apps into board games as a game-based learning strategy significantly improves the learning outcomes and motivation of upper elementary school students in the areas of risk and insurance knowledge, compared to traditional lecture methods. It also enhances their understanding and application abilities. Students hold a positive attitude toward this teaching approach, demonstrating its potential and advantages in financial education. © 2024 Copyright for this paper by its authors.

关键词： Decentralized finance

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Artificial Intelligence Driven Predictive Analysis of Acoustic and Linguistic Behaviors for ASD Identification

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第11期5卷 5709-5719页

作者： Ashwini, B. Deeptanshu Gulati, Sheffali Shukla, Jainendra Human-Machine Interaction Laboratory Delhi New Delhi110020 India All India Institute of Medical Sciences Department of Pediatrics Child Neurology Division Centre of Excellence and Advanced Research for Childhood Neurodevelopmental Disorders New Delhi110029 India Department of Computer Science and Engineering Delhi New Delhi110020 India

The identification of autism spectrum disorder (ASD) faces challenges due to the lack of reliable biomarkers and the subjectivity in diagnostic procedures, necessitating improved tools for objectivity and efficiency. Being a key characteristic of autism, language impairments are regarded as potential markers for identifying ASD. However, current research predominantly focuses on analyzing language characteristics in English, overlooking linguistic and contextual specificities in other resource-constrained languages. Motivated by these, we developed an artificial intelligence (AI)-based system to detect ASD, utilizing a range of acoustic and linguistic features extracted from dyadic conversations between a child and their communication partner. Validating our model on 76 English-speaking children [35 ASD and 41 typically developing (TD)] and 33 Hindi-speaking children (15 ASD and 18 TD), our extensive analysis of a diverse and comprehensive set of acoustic and linguistic speech attributes, including lexical, syntactic, semantic, and pragmatic elements revealed reliable speech attributes as predictors of ASD. This comprehensive analysis achieved a remarkable macro F1-score of approximately ∼91.30%. We further addressed the influence of linguistic diversity on speech-based ASD assessment by examining speech behaviors in both English and the low-resource language, Hindi. Specific features such as adverbs and distinct roots contributed significantly to ASD classification in English, while the proportion of unintelligible utterances and adposition use held greater importance in Hindi. This study underscores the reliability of speech-based biomarkers in ASD assessment, emphasizing their effectiveness across diverse linguistic backgrounds and highlighting the need for language-specific research in this domain. © 2024 IEEE.

关键词： Semantics

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