標(biāo)題: Titlebook: Artificial Intelligence in HCI; 5th International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2024 The Editor(s) (if applicable) [打印本頁] 作者: Jefferson 時(shí)間: 2025-3-21 19:46
書目名稱Artificial Intelligence in HCI影響因子(影響力)
書目名稱Artificial Intelligence in HCI影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence in HCI網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence in HCI網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence in HCI被引頻次
書目名稱Artificial Intelligence in HCI被引頻次學(xué)科排名
書目名稱Artificial Intelligence in HCI年度引用
書目名稱Artificial Intelligence in HCI年度引用學(xué)科排名
書目名稱Artificial Intelligence in HCI讀者反饋
書目名稱Artificial Intelligence in HCI讀者反饋學(xué)科排名
作者: Lethargic 時(shí)間: 2025-3-21 20:40 作者: CLAM 時(shí)間: 2025-3-22 03:37
978-3-031-60613-7The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Communicate 時(shí)間: 2025-3-22 08:29 作者: persistence 時(shí)間: 2025-3-22 10:55
Serra Acar,Ching-I Chen,Huichao Xie crucial in human-AI interaction due to perceived risks arising from AI behaviors’ complexity and the technology’s nondeterministic nature. While several studies have examined trust in AI within specific domains and have focused on particular types of AI technology, this study aims to investigate tr作者: 軟弱 時(shí)間: 2025-3-22 14:05
Maureen Conroy,Kim McKnight,Kevin Sutherlandhe service sector of the online world. This paper focuses on trust-building factors in conversational AI systems and explores strategies to strengthen trust. First, an overview of trust, AI, conversational AI systems, and related literature is provided before discussing related literature on the con作者: APNEA 時(shí)間: 2025-3-22 20:19 作者: Hangar 時(shí)間: 2025-3-23 00:42 作者: Mumble 時(shí)間: 2025-3-23 04:43 作者: Intruder 時(shí)間: 2025-3-23 07:13
Family, State and Social Policynical. While both are indispensable, we contend that a third equally vital approach, focusing on human-AI interaction design, has been relatively neglected, despite the ongoing efforts of pioneers in the field. Through the presentation of four case studies of real-world AI systems, we illustrate, ho作者: 紡織品 時(shí)間: 2025-3-23 10:27
https://doi.org/10.1007/978-981-13-1915-0 recent years. Algorithmic fairness is one of the concepts that should be considered when designing responsible AI models. The goal of these studies is to ensure the decisions made by machine learning algorithms in automated decision-making systems are bias-free and not affected by sensitive informa作者: alabaster 時(shí)間: 2025-3-23 15:47
https://doi.org/10.1007/978-981-13-1915-0ment Learning (RL) approach to address ethical constraints in motion planning problems, particularly in complex tasks within partially observable environments. Leveraging the Partially Observable Markov Decision Process (POMDP) for motion planning in environments with incomplete knowledge and Linear作者: voluble 時(shí)間: 2025-3-23 18:04 作者: 先兆 時(shí)間: 2025-3-24 00:36
24/7 Society—The New Timing of Work?rehensive methods, which take into account multiple channels of emotion detection, traditional techniques often struggle to accommodate complex scenarios and diverse user groups due to their narrow focus. The expanding requirement for integrated emotional evaluation strategies, drawing on disparate 作者: anthropologist 時(shí)間: 2025-3-24 05:03 作者: neuron 時(shí)間: 2025-3-24 09:07 作者: Affirm 時(shí)間: 2025-3-24 12:27
Family, Work and Wellbeing in Asia due to the nature of the speech recognition mechanism. From the standpoint of developing applications that incorporate such speech recognition software, it is necessary to know how many misrecognition errors are included in the recognition results for the speech input as this will affect the applic作者: phytochemicals 時(shí)間: 2025-3-24 16:38 作者: Estimable 時(shí)間: 2025-3-24 20:18
Thijs van den Broek,Makiko Moritapeakers, based on the theoretical basis of human behavior psychology. Additionally, a design method for AI composing music smart speakers based on humming behavior is proposed. Literature analysis was conducted to list the theoretical framework. A behavior-function interaction evaluation model was c作者: savage 時(shí)間: 2025-3-25 02:29 作者: Collision 時(shí)間: 2025-3-25 07:08
Artificial Intelligence in HCI978-3-031-60611-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 中子 時(shí)間: 2025-3-25 09:07 作者: MEET 時(shí)間: 2025-3-25 12:56
Do You Trust AI? Examining AI Trustworthiness Perceptions Among the General Public crucial in human-AI interaction due to perceived risks arising from AI behaviors’ complexity and the technology’s nondeterministic nature. While several studies have examined trust in AI within specific domains and have focused on particular types of AI technology, this study aims to investigate tr作者: Resistance 時(shí)間: 2025-3-25 16:36
Factors of Trust Building in Conversational AI Systems: A Literature Reviewhe service sector of the online world. This paper focuses on trust-building factors in conversational AI systems and explores strategies to strengthen trust. First, an overview of trust, AI, conversational AI systems, and related literature is provided before discussing related literature on the con作者: packet 時(shí)間: 2025-3-25 21:22
BlocklyBias: A Visual Programming Language for?Bias Identification in?AI Dataday’s rapidly evolving landscape, marked by increasing complexity and challenges, there is a growing need to address the issue of biases and discrimination that can be exacerbated by algorithms. Biases can infiltrate data collection, whether conducted by humans or systems they design, highlighting t作者: Genome 時(shí)間: 2025-3-26 02:02 作者: flex336 時(shí)間: 2025-3-26 06:27
Negative Emotions Towards Artificial Intelligence in the Workplace – Motivation and Method for Desigworkplace standards, such as fewer monotonous tasks and greater physical safety. Nevertheless, companies in the manufacturing sector in Germany see employee fears as one of the three main barriers to the use of AI. Against this backdrop, we present the results of a survey of manufacturing employees 作者: Affection 時(shí)間: 2025-3-26 11:33 作者: 豐滿有漂亮 時(shí)間: 2025-3-26 12:58 作者: AXIOM 時(shí)間: 2025-3-26 20:16
Model-Free Motion Planning of?Complex Tasks Subject to?Ethical Constraintsment Learning (RL) approach to address ethical constraints in motion planning problems, particularly in complex tasks within partially observable environments. Leveraging the Partially Observable Markov Decision Process (POMDP) for motion planning in environments with incomplete knowledge and Linear作者: 煉油廠 時(shí)間: 2025-3-27 01:00
Incorporating Artificial Intelligence into Design Criteria Considerationspplications and user interfaces (UIs), this study investigates the incorporation of AI into the consideration of design criteria. In particular, it explores the implications for issues that arise between AI and the field and context of Human–Computer Interaction (HCI). Through a two-part literature 作者: 我不重要 時(shí)間: 2025-3-27 01:29 作者: 財(cái)產(chǎn) 時(shí)間: 2025-3-27 09:16
Co-creation with AI in Car Design: A Diffusion Model Approachdesign. Our primary objective is to investigate how the collaborative design process, where human designers and AI work together with the assist of pre-trained car design diffusion model, can revolutionize car design by enhancing creativity, efficiency, and overall user satisfaction. We built the ca作者: Lumbar-Spine 時(shí)間: 2025-3-27 11:48 作者: 表皮 時(shí)間: 2025-3-27 15:41
Estimating Reliability of Speech Recognition Results Using Recognition Results Change Degree When Mi due to the nature of the speech recognition mechanism. From the standpoint of developing applications that incorporate such speech recognition software, it is necessary to know how many misrecognition errors are included in the recognition results for the speech input as this will affect the applic作者: Bridle 時(shí)間: 2025-3-27 21:43 作者: agglomerate 時(shí)間: 2025-3-27 22:35
Design Method of AI Composing Smart Speaker Based on Humming Behaviorpeakers, based on the theoretical basis of human behavior psychology. Additionally, a design method for AI composing music smart speakers based on humming behavior is proposed. Literature analysis was conducted to list the theoretical framework. A behavior-function interaction evaluation model was c作者: 松軟 時(shí)間: 2025-3-28 02:38
Leveraging Generative AI Concepts with Uncertainty of Information Concepte neural network transformer architecture and unsupervised as well as supervised learning have created the backbone of these generative models. These transformer-based large foundation models that can handle different modalities of data are the core building blocks of the generative AI concept. One 作者: 粘連 時(shí)間: 2025-3-28 10:17
Factors of Trust Building in Conversational AI Systems: A Literature Reviewits, and expertise. Each factor has its importance and limitations in building user trust. For example, transparency enables a better understanding of users, but complex AI systems cannot be fully transparent, which leads to mistrust. Best practices from different domains highlight context-specific 作者: Silent-Ischemia 時(shí)間: 2025-3-28 12:30
BlocklyBias: A Visual Programming Language for?Bias Identification in?AI Databarrier, fostering an understanding of bias, and providing mitigation strategies, this research introduces BlocklyBias, a platform founded on VPL principles. BlocklyBias serves as a foundational stepping stone for future improvements, as a tool to explore and resolve bias-related challenges in data 作者: Ischemic-Stroke 時(shí)間: 2025-3-28 18:32 作者: Fallibility 時(shí)間: 2025-3-28 19:07 作者: 流眼淚 時(shí)間: 2025-3-29 01:13
Model-Free Motion Planning of?Complex Tasks Subject to?Ethical Constraintsthod employs a neural network architecture with environmental observations and recognized labels as inputs. An illustrative example showcases the applicability of our approach to motion planning problems. The flexibility and generality of this method make it suitable for addressing various ethical d作者: Assemble 時(shí)間: 2025-3-29 04:30
Multimodal Interfaces for?Emotion Recognition: Models, Challenges and?Opportunitiesy, nuance, and output. By exploring the varied uses of multi-modal emotion analysis, we demonstrate its inherent advantage over singular techniques. After carefully analyzing the key issues associated with emotional stability, persistent oscillations, and theoretical frameworks, and interpreting mea作者: Latency 時(shí)間: 2025-3-29 09:46
A Study on the Application of Generative AI Tools in Assisting the User Experience Design Process on context analysis and the integration of inspiration in the early stages of their projects, allowing for a greater emphasis on creative and strategic tasks. However, the specialized skills of designers remain crucial for improving AI-generated solutions. UX designers adept in strategic questionin作者: Agronomy 時(shí)間: 2025-3-29 13:38 作者: crutch 時(shí)間: 2025-3-29 17:11 作者: 非秘密 時(shí)間: 2025-3-29 21:47
Maureen Conroy,Kim McKnight,Kevin Sutherlandits, and expertise. Each factor has its importance and limitations in building user trust. For example, transparency enables a better understanding of users, but complex AI systems cannot be fully transparent, which leads to mistrust. Best practices from different domains highlight context-specific 作者: Interstellar 時(shí)間: 2025-3-30 01:31 作者: Influx 時(shí)間: 2025-3-30 04:14 作者: cliche 時(shí)間: 2025-3-30 08:15 作者: uncertain 時(shí)間: 2025-3-30 16:04 作者: 脖子 時(shí)間: 2025-3-30 17:33 作者: 和平 時(shí)間: 2025-3-30 20:48
Minzhi Ye,Yiwei Chen,Yisheng Peng on context analysis and the integration of inspiration in the early stages of their projects, allowing for a greater emphasis on creative and strategic tasks. However, the specialized skills of designers remain crucial for improving AI-generated solutions. UX designers adept in strategic questionin作者: SIT 時(shí)間: 2025-3-31 03:08
Family, Work and Wellbeing in Asiad after these modifications, we find a correlation between the recognition results changing degrees and the words error rate (WER). This suggests that the recognition result change rate is an effective index for estimating the reliability of output speech recognition results.作者: 磨坊 時(shí)間: 2025-3-31 05:36 作者: GUILT 時(shí)間: 2025-3-31 12:15 作者: AVOW 時(shí)間: 2025-3-31 15:40
Do You Trust AI? Examining AI Trustworthiness Perceptions Among the General Public that the general public associates with trust in AI. This research potentially can contribute to improving the trustworthiness of AI technology and promoting confidence in AI applications, ultimately enhancing public trust in AI.作者: opprobrious 時(shí)間: 2025-3-31 19:28
Design Method of AI Composing Smart Speaker Based on Humming Behavioronstructed to evaluate the conceptual design. Reliability and validity tests were carried out to further test the feasibility of the conceptual design scheme. The conceptual design scheme was further deepened and optimized using product design techniques.作者: incite 時(shí)間: 2025-4-1 01:05
Conference proceedings 2024e in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024...The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submis作者: 不利 時(shí)間: 2025-4-1 02:34
