標(biāo)題: Titlebook: HCI International 2023 – Late Breaking Posters; 25th International C Constantine Stephanidis,Margherita Antona,Gavriel Conference proceedi [打印本頁(yè)] 作者: clannish 時(shí)間: 2025-3-21 19:09
書目名稱HCI International 2023 – Late Breaking Posters影響因子(影響力)
書目名稱HCI International 2023 – Late Breaking Posters影響因子(影響力)學(xué)科排名
書目名稱HCI International 2023 – Late Breaking Posters網(wǎng)絡(luò)公開度
書目名稱HCI International 2023 – Late Breaking Posters網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱HCI International 2023 – Late Breaking Posters被引頻次
書目名稱HCI International 2023 – Late Breaking Posters被引頻次學(xué)科排名
書目名稱HCI International 2023 – Late Breaking Posters年度引用
書目名稱HCI International 2023 – Late Breaking Posters年度引用學(xué)科排名
書目名稱HCI International 2023 – Late Breaking Posters讀者反饋
書目名稱HCI International 2023 – Late Breaking Posters讀者反饋學(xué)科排名
作者: Gentry 時(shí)間: 2025-3-21 23:54 作者: irreparable 時(shí)間: 2025-3-22 00:56 作者: 不如樂死去 時(shí)間: 2025-3-22 05:53 作者: 闡釋 時(shí)間: 2025-3-22 09:44 作者: 喪失 時(shí)間: 2025-3-22 15:26 作者: 解脫 時(shí)間: 2025-3-22 20:42
Comparative Analysis for Open-Source Large Language Modelsdiverse language tasks such as content summarization, sentiment analysis, and conversational AI. The advent of these models has profoundly impacted human-computer interaction research, marking the onset of a new era in the field. The pioneering model, ChatGPT, was introduced by OpenAI in November 20作者: overwrought 時(shí)間: 2025-3-23 00:58
Exploration and?Evaluation of?Prompting Methods for?Text Style Transferined much attention due to the promising performance of deep learning models. However, progress is still slow due to an overreliance on large datasets and a lack of reliable evaluation methodology. To address the data challenge, the present research proposes the usage of prompting techniques which h作者: Confidential 時(shí)間: 2025-3-23 05:00 作者: 異教徒 時(shí)間: 2025-3-23 08:02 作者: 真實(shí)的人 時(shí)間: 2025-3-23 11:10
Ethical Reflection on Identity of AI Digital Avatarstification. As AI advances, digital avatars become more authentic and intelligent, leading to questions about human identity and its societal effects. The integration of 5G technology and the Internet of Things accelerates data transmission and storage, resulting in the convergence of the natural an作者: 令人不快 時(shí)間: 2025-3-23 15:07
From Auxiliary Design Tools to Intelligent Collaborative Partners: The Transformation of the Relatio in contemporary design. Advanced computing technologies and design trends shape the integration of design tools in the information age, influencing design methodology. The developmental history of design tools demonstrates that it undergoes four stages. This article analyzes the impact of calculati作者: Acumen 時(shí)間: 2025-3-23 19:47 作者: 博愛家 時(shí)間: 2025-3-23 23:04 作者: 問到了燒瓶 時(shí)間: 2025-3-24 02:53
Development of?a?Camera Motion Estimation Method Utilizing Motion Blur in?Images will easily fail to extract features and lose track due to motion blur. To address this issue, this study introduces a novel solution that estimates the camera motion using blur features extracted from images. The proposed approach models the relationship between camera motion and motion blur, crea作者: Anemia 時(shí)間: 2025-3-24 07:11 作者: Pedagogy 時(shí)間: 2025-3-24 12:47 作者: Barrister 時(shí)間: 2025-3-24 15:50 作者: 遠(yuǎn)足 時(shí)間: 2025-3-24 20:48
The Aesthetics of Middlebrow Fictionly transcribing speech, medical risk assessment and decision-support applications based on the patient parameters stored within Electronic Health Record (EHR) systems. The astonishing success of Large Language Model-based generative AI has further demonstrated a great potential for employing AI-base作者: conference 時(shí)間: 2025-3-25 02:33 作者: Multiple 時(shí)間: 2025-3-25 05:32
https://doi.org/10.1007/978-1-4020-6650-4of human-AI task sharing has to take these varieties into account. In many instances the modes of reacting on each other are symmetrically distributed between humans and AI. Certain activities of coordinating the task sharing between human and AI are in a meta-relation to the interaction between hum作者: Sad570 時(shí)間: 2025-3-25 07:51 作者: 狂熱語(yǔ)言 時(shí)間: 2025-3-25 14:11 作者: GIDDY 時(shí)間: 2025-3-25 18:24 作者: 晚間 時(shí)間: 2025-3-25 21:23
Rosemarie Day,Niko Lehman-Whiteined much attention due to the promising performance of deep learning models. However, progress is still slow due to an overreliance on large datasets and a lack of reliable evaluation methodology. To address the data challenge, the present research proposes the usage of prompting techniques which h作者: organic-matrix 時(shí)間: 2025-3-26 03:44
https://doi.org/10.1007/978-1-4614-8351-9ust be revisited in light of the differences in the learning of humans versus intelligent machines; performance can no longer be the sole criterion for task allocation. We offer a new procedure for allocating tasks dynamically that begins with the determination of the desired level of machine autono作者: 靈敏 時(shí)間: 2025-3-26 07:58
Soviet Strategy, Tactics, and Dilemmas, know very little. As AI (Artificial intelligence) penetrates deeper into life, the development of AI is maybe uncontrollable under the influence of human data. Questions about privacy, autonomy, fairness, and the potential for misuse of technology will become even more pressing..In the unstoppable 作者: tinnitus 時(shí)間: 2025-3-26 11:52 作者: hypertension 時(shí)間: 2025-3-26 14:25 作者: corporate 時(shí)間: 2025-3-26 20:42
The African Human Rights Systemation into the field. This study illustrates prevailing generative models and datasets currently influential in music generation. Four publications have been selected for detailed discussion, representing a spectrum of salient concepts in music generation and potential areas of further inquiry. By f作者: exophthalmos 時(shí)間: 2025-3-26 21:40
https://doi.org/10.1007/978-3-031-08626-7ribing the sport’s environment and development and the current state-of-the-art of machine learning based single camera tracking approaches we have evaluated and applied. The main part of the paper deals with the first implementation, the tracking and the results of the evaluation of the movements o作者: canonical 時(shí)間: 2025-3-27 02:40 作者: forecast 時(shí)間: 2025-3-27 08:53
https://doi.org/10.1007/978-3-030-87805-4tween humans and autonomous artificially intelligent agents. However, the role of how to distribute decision-making within this new collaborative paradigm remains underexplored. In this manuscript paper, we propose an integration of situation awareness into the decision-making process by combining t作者: 吸引人的花招 時(shí)間: 2025-3-27 12:04 作者: 生意行為 時(shí)間: 2025-3-27 14:20
Conference proceedings 2024ate Breaking Work” (papers and posters). The contributions thoroughly cover the entire ?eld of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.作者: synovitis 時(shí)間: 2025-3-27 20:18
1865-0929 nce, as “Late Breaking Work” (papers and posters). The contributions thoroughly cover the entire ?eld of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas.978-3-031-49214-3978-3-031-49215-0Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: helper-T-cells 時(shí)間: 2025-3-28 00:40
The Aesthetics of Middlebrow Fictionof EHR systems. We discuss the opportunities and challenges of employing AI-based capabilities within EHRs and outline a research roadmap for creating interactive collaborative integrated EHR assistant applications. We discuss parallels with our prior work in addressing usability of enterprise resource planning systems.作者: sed-rate 時(shí)間: 2025-3-28 02:26 作者: Tempor 時(shí)間: 2025-3-28 08:27 作者: 障礙物 時(shí)間: 2025-3-28 11:02
Arms Proliferation and the Congo Ware proposed method successfully estimates motion from blur, even in long-term blur scenarios. This method can potentially serve as an auxiliary motion estimation module to enhance the robustness and accuracy of the visual odometer when motion blur is encountered.作者: SEEK 時(shí)間: 2025-3-28 17:58
NLP in Healthcare: Developing Interactive Integrated Collaborative Assistantsof EHR systems. We discuss the opportunities and challenges of employing AI-based capabilities within EHRs and outline a research roadmap for creating interactive collaborative integrated EHR assistant applications. We discuss parallels with our prior work in addressing usability of enterprise resource planning systems.作者: 不發(fā)音 時(shí)間: 2025-3-28 22:03 作者: Arresting 時(shí)間: 2025-3-29 01:14 作者: Saline 時(shí)間: 2025-3-29 03:08
Development of?a?Camera Motion Estimation Method Utilizing Motion Blur in?Imagese proposed method successfully estimates motion from blur, even in long-term blur scenarios. This method can potentially serve as an auxiliary motion estimation module to enhance the robustness and accuracy of the visual odometer when motion blur is encountered.作者: STYX 時(shí)間: 2025-3-29 09:58 作者: DNR215 時(shí)間: 2025-3-29 14:21
1865-0929 II 2023, which was held in Copenhagen, Denmark, in July 2023.. ?. A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just b作者: 傳染 時(shí)間: 2025-3-29 16:10 作者: MEET 時(shí)間: 2025-3-29 21:18
The African Human Rights Systemve been selected for detailed discussion, representing a spectrum of salient concepts in music generation and potential areas of further inquiry. By focusing on key studies and significant datasets, this review aspires to serve as a guide for undergraduate scholars keen on investigating the intersections of deep learning and music generation.作者: 獨(dú)行者 時(shí)間: 2025-3-30 03:25
https://doi.org/10.1007/978-3-031-08626-7aluated and applied. The main part of the paper deals with the first implementation, the tracking and the results of the evaluation of the movements of two surfers. We are closing with our lessons learned and our next steps.作者: 高談闊論 時(shí)間: 2025-3-30 04:12 作者: reception 時(shí)間: 2025-3-30 11:51
Exploring AI Music Generation: A Review of?Deep Learning Algorithms and?Datasets for?Undergraduate Rve been selected for detailed discussion, representing a spectrum of salient concepts in music generation and potential areas of further inquiry. By focusing on key studies and significant datasets, this review aspires to serve as a guide for undergraduate scholars keen on investigating the intersections of deep learning and music generation.作者: 公豬 時(shí)間: 2025-3-30 14:27 作者: 領(lǐng)帶 時(shí)間: 2025-3-30 17:45 作者: NOVA 時(shí)間: 2025-3-31 00:04
https://doi.org/10.1007/978-3-030-87805-4sit that this approach benefits designers, implementers, and users of intelligent systems as it orchestrates a cognitive and perceptual alignment between human and non-human agents, thereby enabling the formation of meaningful end-to-end action loops.作者: Gastric 時(shí)間: 2025-3-31 03:22
Artificial Intelligence (AI) Facilitated Data-Driven Design Thinking data to manage it, which was then run by a group of users for their Design-Thinking session for testing and accessing its success in enhancing the design process. The AI-facilitated design-thinking process produced desirable outcomes in significantly less time and helped speed up the Design-Thinking process.作者: cringe 時(shí)間: 2025-3-31 07:48 作者: ALIBI 時(shí)間: 2025-3-31 12:43
Communications in Computer and Information Sciencehttp://image.papertrans.cn/h/image/420109.jpg作者: ALIAS 時(shí)間: 2025-3-31 14:21
978-3-031-49214-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: medieval 時(shí)間: 2025-3-31 19:21 作者: 得意人 時(shí)間: 2025-4-1 00:19
https://doi.org/10.1007/978-1-4614-8351-9ust be revisited in light of the differences in the learning of humans versus intelligent machines; performance can no longer be the sole criterion for task allocation. We offer a new procedure for allocating tasks dynamically that begins with the determination of the desired level of machine autonomy.作者: 設(shè)施 時(shí)間: 2025-4-1 02:36
Human-Machine Task Allocation in Learning Reciprocally to Solve Problemsust be revisited in light of the differences in the learning of humans versus intelligent machines; performance can no longer be the sole criterion for task allocation. We offer a new procedure for allocating tasks dynamically that begins with the determination of the desired level of machine autonomy.作者: 和藹 時(shí)間: 2025-4-1 08:42
https://doi.org/10.1007/978-3-031-49215-0artificial intelligence; communication systems; computer hardware; computer networks; computer systems; c作者: 翻布尋找 時(shí)間: 2025-4-1 10:52 作者: Forsake 時(shí)間: 2025-4-1 18:19
Masculinities and Physical Power,hese natural human behaviors. When users interact with AI models trained in this way, they will not need to think consciously about the model’s working mechanism anymore. The paper elaborates on this approach further with a practical case that can be encountered in our daily lives; the vision and la
