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12th Nordic Conference on human-computer interaction: Participative Computing for Sustainable Futures, NordiCHI 2022

作者： Svangren, Michael Kvist Raptis, Dimitrios Ananjeva, Alisa Persson, John Stouby Nielsen, Peter Axel Aalborg University Department of Computer Science Denmark Department of Computer Science Human-Centred Computing Group Aalborg University Denmark

ISBN: (纸本)9781450396998

Designing interactive technology to support and reduce domestic energy consumption has occupied HCI researchers for decades. This paper extends this body of HCI research by using postphenomenology as an analytical lens to understand how the digital energy assistant' Watts' mediates domestic district heating. We base our inquiry on empirical insights from a two-year study. We conducted informal meetings, focus groups with seven households before Watts' distribution, two rounds of semi-structured interviews with seven household representatives using Watts, and 304 questionnaire respondents. We illustrate findings in three postphenomenological dimensions - practical, ontological, and epistemological - showing a two-sidedness of technology-mediated domestic district heating. For instance, Watts enables some to reduce heating by magnifying certain new aspects of consumption, but also constrains others from doing the same by concealing the "raw"consumption data. Finally, we discuss four tensions of Watts mediation and how postphenomenology can complement HCI studies on domestic energy consumption. © 2022 ACM.

关键词： Surveys

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EIROB : An Emotionally Intelligent ROBot for Empathetic Support

EIROB : An Emotionally Intelligent ROBot for Empathetic Supp...

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2024 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2024

作者： Ismail, Safad Vasudev, Harsha Saintgits College of Engineering Department of Computer Science and Engineering Kerala India University of Padua Human Inspired Technology Research Centre Department of Mathematics Italy

ISBN: (纸本)9798350376135

Social assistive robots enhance social interaction and well-being by providing companionship and support. Emotional Intelligence in these robots refers to their ability to identify, understand, and respond to human emotions. This study investigates how well a social robot named 'EIROB' can engage elderly persons by using Artificial Emotional Intelligence. EIROB employs a Multimodal Emotion Recognition Algorithm and a Multimodal Emotion Expression System to detect the user's emotional state and generate appropriate responses through an effective dialogue manager. interaction with EIROB is facilitated by an Android app, which uses the mobile phone's inbuilt camera and microphone for facial expression and speech sentiment detection. The captured data is processed in the cloud that enables the model to be deployed remotely. This study aims to create an empathetic interaction model for senior citizens particularly during pandemics like COVID-19 to prevent feelings of isolation. The performance of the emotion recognition models is evaluated via accuracy, precision, recall, and F1-score to ensure the effectiveness of the system in recognizing and responding to user's emotional states. © 2024 IEEE.

关键词： Microrobots

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Intelligent Predictive Maintenance RAG framework for Power Plants: Enhancing QA with StyleDFS and Domain Specific Instruction Tuning

Intelligent Predictive Maintenance RAG framework for Power P...

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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024

作者： Hong, Seongtae Shin, Joongmin Seo, Jaehyung Lee, Taemin Park, Jeongbae Cho, Manyoung Choi, Byeongho Lim, Heuiseok Department of Computer Science and Engineering Korea University Korea Republic of Human-inspired AI Research Korea Republic of GaonPlatform Korea Republic of

ISBN: (纸本)9798891761667

Process plants are complex large-scale industrial facilities that convert raw materials or intermediate products into final products, requiring continuous processes with high safety and efficiency standards. In particular, in nuclear process plants, Predictive Maintenance System (PMS) plays a critical role in predicting equipment anomalies and performing preventive maintenance. However, current PMS relies heavily on the experience of a few experts, leading to knowledge loss upon their retirement and difficulty in swift response. Existing off-premise Question-Answering (QA) systems based on Large Language Models (LLM) face issues such as data leakage and challenges in domain-specific tuning. To address these problems, this study proposes an on-premise intelligent PMS framework utilizing a new chunking method, StyleDFS, which effectively reflects the structural information of documents. Additionally, we demonstrate that Instruction tuning using relevant domain-specific data improves LLM performance even under limited data conditions. © 2024 Association for Computational Linguistics.

关键词： Predictive maintenance

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Design Visions for Future Energy Systems: Towards Aligning Developers' Assumptions and Householders' Expectations 22

Design Visions for Future Energy Systems: Towards Aligning D...

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12th Nordic Conference on human-computer interaction: Participative Computing for Sustainable Futures, NordiCHI 2022

作者： Jensen, Rikke Hagensby Raptis, Dimitrios Siksnys, Laurynas Pedersen, Torben Skov, Mikael B. Department of Computer Science Aalborg University Denmark Department of Computer Science Human-Centred Computing Group Aalborg University Denmark

ISBN: (纸本)9781450396998

We increasingly see smart energy technology moving into peoples' homes, designed to support householders in strategically managing different forms of energy conservation. Often, design visions for such technologies assume householders will accept smart energy systems as long as the interaction remains effortless, efficient, and convenient. Likewise, developers rely on assumptions that smart energy technologies meeting such usability goals may urge householders to become active players in a future energy market. Yet, a growing body of HCI research illustrates that actively engaging people with sustainability issues through technology requires more than merely meeting usability goals. Against this backdrop, our study investigates the design vision of a cutting-edge home energy management system created as part of an EU project and householders' expectations of it. Our findings highlight (mis)alignments that emerged from a questionnaire study with 167 households participating in a field trial of the developed technology. We use the insights to discuss the alignment of sustainable visions, HCI, and the design of future energy systems. © 2022 ACM.

关键词： Sustainable development

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Focus Cat: Designing Idle Games to Promote Intermittent Practice and On-Going Adherence of Breathing Exercise for ADHD 22

Focus Cat: Designing Idle Games to Promote Intermittent Prac...

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9th ACM SIGCHI Annual Symposium on computer-human interaction in Play, CHI PLAY 2022

作者： Sadprasid, Book Tabor, Aaron Scheme, Erik Bateman, Scott Faculty Of Computer Science University Of New Brunswick Canada Human Computer Interaction Lab University Of New Brunswick Canada Institute Of Biomedical Engineering University Of New Brunswick Canada

ISBN: (纸本)9781450392112

Adherence and frequency of play are well-established challenges for serious games that target breathing exercises, because exercises are most effective when practiced in short and frequent sessions. Researchers have recognized that elements of idle games ideally align with many therapeutic use cases because idle games have a frequently repeating gameplay cycle that draws people in for short play sessions. However, there is little research about how idle games can be used to motivate consistent, frequent practice of therapies like breathing exercises that are often recommended for chronic conditions like ADHD. This paper describes the design and implementation of a therapeutic idle game, Focus Cat. This game is designed to help people with ADHD incorporate breathing exercises into their symptom management routine. Our work demonstrates how the unique qualities of idle game design - including short, frequent gameplay sessions, simple mechanics that make mundane tasks engaging and mechanics that pull and push players into and out of active gameplay - can be used for ADHD breathing exercises to improve adherence and frequency of practice. © 2022 Owner/Author.

关键词： Game design

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In Time and Space: Towards Usable Adaptive Control for Assistive Robotic Arms

In Time and Space: Towards Usable Adaptive Control for Assis...

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IEEE International Workshop on Robot and human Communication (ROMAN)

作者： Max Pascher Kirill Kronhardt Felix Ferdinand Goldau Udo Frese Jens Gerken Human-Computer Interaction Westphalian University of Applied Sciences Gelsenkirchen Germany Human-Computer Interaction University of Duisburg-Essen Essen Germany Mathematics & Computer Science University of Bremen Bremen Germany

Robotic solutions, in particular robotic arms, are becoming more frequently deployed for close collaboration with humans, for example in manufacturing or domestic care environments. These robotic arms require the user to control several Degrees-of-Freedom (DoFs) to perform tasks, primarily involving grasping and manipulating objects. Standard input devices predominantly have two DoFs, requiring time-consuming and cognitively demanding mode switches to select individual DoFs. Contemporary Adaptive DoF Mapping Controls (ADMCs) have shown to decrease the necessary number of mode switches but were up to now not able to significantly reduce the perceived workload. Users still bear the mental workload of incorporating abstract mode switching into their workflow. We address this by providing feed-forward multimodal feedback using updated recommendations of ADMC, allowing users to visually compare the current and the suggested mapping in real-time. We contrast the effectiveness of two new approaches that a) continuously recommend updated DoF combinations or b) use discrete thresholds between current robot movements and new recommendations. Both are compared in a Virtual Reality (VR) in-person study against a classic control method. Significant results for lowered task completion time, fewer mode switches, and reduced perceived workload conclusively establish that in combination with feedforward, ADMC methods can indeed outperform classic mode switching. A lack of apparent quantitative differences between Continuous and Threshold reveals the importance of user-centered customization options. Including these implications in the development process will improve usability, which is essential for successfully implementing robotic technologies with high user acceptance.

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MiniNet: Dense squeeze with depthwise separable convolutions for image classification in resource-constrained autonomous systems

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ISA Transactions 2023年 132卷 120-130页

作者： Tseng, Fan-Hsun Yeh, Kuo-Hui Kao, Fan-Yi Chen, Chi-Yuan Department of Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan Department of Information Management National Dong Hwa University Hualien Taiwan Computer Science and Engineering Department of National Sun Yat-sen University Kaohsiung804 Taiwan Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan Department of Computer Science and Information Engineering National Ilan University Yilan Taiwan

In recent years, artificial intelligence (AI) has been developed vigorously, and a great number of AI autonomous applications have been proposed. However, how to decrease computations and shorten training time with high accuracy under the limited hardware resource is a vital issue. In this paper, on the basis of MobileNet architecture, the dense squeeze with depthwise separable convolutions model is proposed, viz. MiniNet. MiniNet utilizes depthwise and pointwise convolutions, and is composed of the dense connection technique and the Squeeze-and-Excitation operations. The proposed MiniNet model is implemented and experimented with Keras. In experimental results, MiniNet is compared with three existing models, i.e., DenseNet, MobileNet, and SE-Inception-Resnet-v1. To validate that the proposed MiniNet model is provided with less computation and shorter training time, two types as well as large and small datasets are used. The experimental results showed that the proposed MiniNet model significantly reduces the number of parameters and shortens training time efficiently. MiniNet is superior to other models in terms of the lowest parameters, shortest training time, and highest accuracy when the dataset is small, especially. © 2022 ISA

关键词： Convolution

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Enhanced Transient Response of Ultrasound Neuromodulation Mediated by Large Conductance Mechanosensitive Ion Channel 46

Enhanced Transient Response of Ultrasound Neuromodulation Me...

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46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Li, Xin Zhang, Guoying Zheng, Chenguang Tian, Yutao Tianjin University Academy of Medical Engineering and Translational Medicine Medical College Tianjin China Tianjin Key Laboratory of Brain Science and Neuroengineering Tianjin China Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration Tianjin China

ISBN: (纸本)9798350371499

Ultrasound neuromodulation, a burgeoning field aimed at enhancing brain function and behavior, relies on the intricate electrophysiological responses of neurons driven by ion channel dynamics. However, achieving targeted and precise modulation with ultrasound poses a significant challenge. A hypothesis is that mechanosensitive (MS) ion channels may play a pivotal role in achieving the desired specificity in ultrasound effects. Our study involved augmenting MscL-G22S channel expression in specific areas of rats' hippocampus (HP) and primary visual cortex (V1) via AAV virus delivery. We recorded local field potentials (LFPs) to assess the modulation effect and identified distinct evoked-related potentials (ERPs) in regions overexpressing MscL-G22S channels under anesthesia. Notable variations in the amplitude of negative peaks were observed in the ERPs between HP and V1, highlighting a nuanced response to ultrasound stimulation. These results highlight the complexity and promise of MS channel-mediated neuromodulation, offering critical insights into the development of targeted ultrasound interventions to improve brain function. © 2024 IEEE.

关键词： Transient analysis

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A Systematic Literature Review of Blockchain Technology

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第10期16卷 97-108页

作者： Ghazi, Alaan Alisawi, Muthana Wahab, Yousif Mohammed Al-Dawoodi, Aras Abdullah, Sirwan Saber Hammood, Layth Nawaf, Asmaa Yaseen Department of Computer Technical Engineering Al-Qalam University College Kirkuk Iraq Faculty of Applied and Human Sciences University Malaysia Perlis Perlis Malaysia Computer Science College of Computer Science and Information Technology University of Kirkuk Kirkuk Iraq Gazi University Ankara Turkey Information Technology and Communication Department Rafidain Bank Iraq Altinbas University Istanbul Turkey Computer Science College of Computer Science University of Anbar Kirkuk Iraq

The Blockchain technology moves data nodes and data streams from one informatics center to another based on the importance of Bitcoins, resulting in a dedicated, public, and secure network for interpretation and development of the ensuing information chain reaction. Blockchains are frequently formed by connecting interrelated patterns of information in order to conduct a secure transaction. Blockchain has the characteristics of decentralization, transparency, immutability, autonomy, open-source, anonymity, and consensus. Block chains are being utilized in a variety of real-world applications, including business and economics, financial technology, and digital currencies. This article does a comprehensive review of the literature on blockchain technology. While searching for the keyword "blockchain" as a subject, we identified a total of 1882 entries in these databases. After removing the less common record kinds, the papers were reduced to 1246 articles, which were then used for further investigation. © 2022

关键词： Smart contract

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A Framework for Blockchain Based E-Voting System for Iraq

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第10期16卷 210-222页

作者： Wahab, Yousif Mohammed Ghazi, Alaan Al-Dawoodi, Aras Alisawi, Muthana Abdullah, Sirwan Saber Hammood, Layth Nawaf, Asmaa Yaseen Computer Science College of Computer Science and Information Technology University of Kirkuk Kirkuk Iraq Gazi University Ankara Turkey Department of Computer Technical Engineering Al-Qalam University College Kirkuk Iraq Faculty of Applied and Human Sciences University Malaysia Perlis Perlis Malaysia Information Technology and Communication Department Rafidain Bank Iraq Altinbas University Istanbul Turkey Computer Science College of Computer Science University of Anbar Kirkuk Iraq

Election is a basic democratic tool that offers an official mechanism for the people to express their opinions in order to form a government by democratic means. Electronic voting has evolved into the most significant application of e-governance and e-democracy. Few countries have recently taken the opportunity to test and use electronic voting systems. Also, many countries expect that internet voting will become a reality during the next decade. In the conventional voting system, the electors authenticate themselves by displaying credentials;this move is open to the public and is validated by poll workers. During this authentication, they are manually checked before being eligible to vote. The standard system of voting is more costly and needs more human capital. Because of these factors, the whole world is heading toward the trend of e-voting. Electronic voting devices are supposed to be the answer to the shortages. A secure e-voting system must meet many criteria, including uniqueness, performance, fairness, stability, safety, authentication, and anonymity. Block-chain is a modern security solution, which is capable of securing e-voting system. Blockchain is distributed ledger. Each block contains only one transaction. Block chain provides security using cryptography and hashing. Blockchain provides a perfect infrastructure to provide secure e-voting ***. Blockchain along with smart contracts need hour to improvise an e-voting system. This paper presents a secure blockchain based framework for an e-electronic voting in Iraq. © 2022

关键词： Smart contract

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