標(biāo)題: Titlebook: Artificial Intelligence in HCI; 3rd International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2022 The Editor(s) (if applicable) [打印本頁(yè)] 作者: hydroxyapatite 時(shí)間: 2025-3-21 17:34
書(shū)目名稱(chēng)Artificial Intelligence in HCI影響因子(影響力)
書(shū)目名稱(chēng)Artificial Intelligence in HCI影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Artificial Intelligence in HCI網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Artificial Intelligence in HCI網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Artificial Intelligence in HCI被引頻次
書(shū)目名稱(chēng)Artificial Intelligence in HCI被引頻次學(xué)科排名
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書(shū)目名稱(chēng)Artificial Intelligence in HCI讀者反饋
書(shū)目名稱(chēng)Artificial Intelligence in HCI讀者反饋學(xué)科排名
作者: Acetaminophen 時(shí)間: 2025-3-21 22:43 作者: 容易生皺紋 時(shí)間: 2025-3-22 01:36 作者: assent 時(shí)間: 2025-3-22 07:02 作者: 潰爛 時(shí)間: 2025-3-22 09:31 作者: 預(yù)感 時(shí)間: 2025-3-22 16:23 作者: 法律的瑕疵 時(shí)間: 2025-3-22 20:43 作者: 咯咯笑 時(shí)間: 2025-3-22 22:13
ExMo: ,plainable AI ,del Using Inverse Frequency Decision Rules a qualitatively better model than BRL. Furthermore, ExMo demonstrates that the textual explanation can be provided in a human-friendly way so that the explanation can be easily understood by non-expert users. We validate ExMo on several datasets with different sizes to evaluate its efficacy. Experi作者: ATP861 時(shí)間: 2025-3-23 02:56
A Model of?Adaptive Gamification in?Collaborative Location-Based Collecting Systemsnsidering the space-time behavior and challenge completion, a model for the different types of challenges applicable in CLCS, a model for the CLCS objectives and coverage, and a strategy for the application of Machine Learning techniques for adaptation.作者: 受辱 時(shí)間: 2025-3-23 06:47
Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfaceslity of CNN (a modified GoogLeNet architecture) and ANN models to predict visual perception per Aesthetics, Complexity, and Orderliness scales for about 2700 web UIs assessed by 137 users. Our results suggest that the ANN architecture produces smaller Mean Squared Error (MSE) for the training datase作者: Harass 時(shí)間: 2025-3-23 10:58
My Tutor is an AI: The Effects of Involvement and Tutor Type on Perceived Quality, Perceived Credibivolvement is low, the AI tutor is perceived to have a higher writing quality than the human tutor; when user involvement was high, tutor type did not affect the perceived writing quality of the tutor, no matter the tutor was a human or an AI. The reason that the human tutor is preferred is that the 作者: Nutrient 時(shí)間: 2025-3-23 14:35 作者: languor 時(shí)間: 2025-3-23 20:39 作者: oblique 時(shí)間: 2025-3-24 00:11 作者: Antigen 時(shí)間: 2025-3-24 04:09
When Interactions Are Difficult,mes of gamified collaboration based on expert interviews, consequently derive design principles to gamify the process interactions and determine matching gamification elements. For demonstration, we implement the design principles with the according gamification elements in a prototype enabling cust作者: 入伍儀式 時(shí)間: 2025-3-24 10:15 作者: 眉毛 時(shí)間: 2025-3-24 11:34 作者: 猛烈責(zé)罵 時(shí)間: 2025-3-24 17:12 作者: Living-Will 時(shí)間: 2025-3-24 19:21
Working with Couples in Primary Care retardation and symptoms of anxiety and depression, characterized by eye contact avoidance, slower blinks and a downward eye gaze. By comparing results from different methods of classification, we determined that these features are highly capable of automatically classifying different levels of sui作者: 波動(dòng) 時(shí)間: 2025-3-25 01:07
https://doi.org/10.1007/978-1-4757-2096-9 a qualitatively better model than BRL. Furthermore, ExMo demonstrates that the textual explanation can be provided in a human-friendly way so that the explanation can be easily understood by non-expert users. We validate ExMo on several datasets with different sizes to evaluate its efficacy. Experi作者: 火花 時(shí)間: 2025-3-25 04:37 作者: 極大的痛苦 時(shí)間: 2025-3-25 09:18
Karen L. Bierman,Susan M. Sheridanlity of CNN (a modified GoogLeNet architecture) and ANN models to predict visual perception per Aesthetics, Complexity, and Orderliness scales for about 2700 web UIs assessed by 137 users. Our results suggest that the ANN architecture produces smaller Mean Squared Error (MSE) for the training datase作者: 驚呼 時(shí)間: 2025-3-25 13:15 作者: Deduct 時(shí)間: 2025-3-25 18:54 作者: 共棲 時(shí)間: 2025-3-26 00:01 作者: ALIBI 時(shí)間: 2025-3-26 03:23 作者: 提煉 時(shí)間: 2025-3-26 06:22
Promoting Human Competences by Appropriate Modes of Interaction for Human-Centered-AIthe context of machine learning that synergistically combine the complementary strengths of humans and AI and seek to develop competencies and capabilities of both parts. The development of human competencies is a largely neglected aspect compared to criteria such as fairness, trust, or accountabili作者: 險(xiǎn)代理人 時(shí)間: 2025-3-26 10:59
Artificial Intelligence Augmenting Human Teams. A Systematic Literature Review on the Opportunities larly knowledge of the topic itself is missing. Thus, this paper provides a systematic review of the current knowledge on AI in augmenting human teams. The systematic literature review shows that AI working as teammate could augment human teams in important ways in enhancing team coordination, enhan作者: FEAT 時(shí)間: 2025-3-26 13:14
Adoption and Perception of Artificial Intelligence Technologies by Children and Teens in Educationinterested in AI in education for children and teens. This systematic review summarizes the state of the literature by exploring how AI technologies have been adopted and perceived by children and teens in education. Based on the PRISMA review framework [.], we performed three rounds of systematic s作者: 木質(zhì) 時(shí)間: 2025-3-26 19:14 作者: 觀察 時(shí)間: 2025-3-27 00:07
Gamifying the?Human-in-the-Loop: Toward Increased Motivation for?Training AI in?Customer Serviceollaborative learning of both human and AI. Thereby, we address a research gap focusing on the continuance intention of customer service employees to teach AI during their work task. So far, the human-in-the-loop (HITL) approach is commonly applied to directly involve the human user in Machine Learn作者: NIB 時(shí)間: 2025-3-27 01:25 作者: uncertain 時(shí)間: 2025-3-27 07:55 作者: 被告 時(shí)間: 2025-3-27 09:56
(De)Coding Social Practice in the Field of XAI: Towards a Co-constructive Framework of Explanations erstand at least to a certain degree how these technologies work. Where users are concerned, most approaches in . (XAI) assume a rather narrow view on the social process of explaining and show an undifferentiated assessment of explainees’ understanding, which mostly are considered passive recipients作者: CESS 時(shí)間: 2025-3-27 13:55
Explainable AI for?Suicide Risk Assessment Using Eye Activities and?Head Gestures. Despite the severity of this suicide epidemic, there is so far no reliable and systematic way to assess suicide intent of a given individual. Through efforts to automate and systematize diagnosis of mental illnesses over the past few years, verbal and acoustic behaviors have received increasing at作者: surrogate 時(shí)間: 2025-3-27 18:55
ExMo: ,plainable AI ,del Using Inverse Frequency Decision Rules ExMo interpretable machine learning model consists of a list of IF...THEN... statements with a decision rule in the condition. This way, ExMo naturally provides an explanation for a prediction using the decision rule that was triggered. ExMo uses a new approach to extract decision rules from the tr作者: obligation 時(shí)間: 2025-3-28 01:58
A Model of?Adaptive Gamification in?Collaborative Location-Based Collecting Systemsnot naturally games. Nevertheless, the usage of gamification does not always achieve the expected results due to the too much generalized approach that makes invisible the different motivations, characteristics and playing styles among the players. Currently, research on adaptive gamification deals 作者: 具體 時(shí)間: 2025-3-28 04:03
Benchmarking Neural Networks-Based Approaches for Predicting Visual Perception of User Interfacessis and recognition tasks. As testing and validation of graphical user interfaces (GUIs) is increasingly relying on computer vision, CNN models that predict such subjective and informal dimensions of user experience as aesthetic or complexity perception start to achieve decent accuracy. They however作者: HALO 時(shí)間: 2025-3-28 10:17
My Tutor is an AI: The Effects of Involvement and Tutor Type on Perceived Quality, Perceived Credibirning specialists. AI tutors are good at facilitating various teaching-learning practices within and outside the classroom, and support students 24/7. However, little is known whether AI tutors can be as effective in learning languages as human tutors, and what factors would cause student learning o作者: 除草劑 時(shí)間: 2025-3-28 10:35 作者: Awning 時(shí)間: 2025-3-28 17:36 作者: metropolitan 時(shí)間: 2025-3-28 19:04
Susan H. McDaniel,Jeri Hepworth,Alan Lorenz 10 modes of interaction that represent a way of interacting with AI that has the potential to support the development of human competencies relevant to the domain itself, but also to its context and to the use of technologies.作者: 綁架 時(shí)間: 2025-3-29 02:55
Genetic Screening, Testing, and Families,re are concerns related with social and machine teammate interaction, design, privacy, and ethics, that need further research to unleash AI technologies’ benefits in increasingly knowledge-intensive and diverse team collaboration.作者: invade 時(shí)間: 2025-3-29 06:00
Promoting Human Competences by Appropriate Modes of Interaction for Human-Centered-AI 10 modes of interaction that represent a way of interacting with AI that has the potential to support the development of human competencies relevant to the domain itself, but also to its context and to the use of technologies.作者: 思考才皺眉 時(shí)間: 2025-3-29 07:33
Artificial Intelligence Augmenting Human Teams. A Systematic Literature Review on the Opportunities re are concerns related with social and machine teammate interaction, design, privacy, and ethics, that need further research to unleash AI technologies’ benefits in increasingly knowledge-intensive and diverse team collaboration.作者: 意外 時(shí)間: 2025-3-29 11:29
0302-9743 as held as part of HCI International 2022 and took place virtually during June 26 – July 1, 2022.. A total of 1271 papers and 275 posters included in the 39 HCII 2022 proceedings volumes. AI-HCI 2022 includes a total of 39 papers; they are grouped thematically as follows: Human-Centered AI; Explaina作者: 制定法律 時(shí)間: 2025-3-29 18:59 作者: FEMUR 時(shí)間: 2025-3-29 19:43 作者: 神秘 時(shí)間: 2025-3-30 01:08 作者: ESO 時(shí)間: 2025-3-30 06:39
https://doi.org/10.1007/b137394ity guidelines and others not. With obtained data in the experiment, the web developers could choose in a more precise way which recommendations could be implemented in their interfaces to get a more efficient user interaction.作者: exostosis 時(shí)間: 2025-3-30 09:49 作者: Nonthreatening 時(shí)間: 2025-3-30 16:07 作者: 讓空氣進(jìn)入 時(shí)間: 2025-3-30 18:49 作者: 惰性氣體 時(shí)間: 2025-3-31 00:22
Involving the Family in Daily Practice,tings where their abilities to evaluate decision variables far exceed the abilities of their human counterparts. However, even though AIs excel at weighing multiple issues and computing near optimal solutions with speed and accuracy beyond that of any human, they still make mistakes. Thus, perfect c作者: Blemish 時(shí)間: 2025-3-31 02:09
Susan H. McDaniel,Jeri Hepworth,Alan Lorenzthe context of machine learning that synergistically combine the complementary strengths of humans and AI and seek to develop competencies and capabilities of both parts. The development of human competencies is a largely neglected aspect compared to criteria such as fairness, trust, or accountabili作者: 使顯得不重要 時(shí)間: 2025-3-31 05:27
Genetic Screening, Testing, and Families,larly knowledge of the topic itself is missing. Thus, this paper provides a systematic review of the current knowledge on AI in augmenting human teams. The systematic literature review shows that AI working as teammate could augment human teams in important ways in enhancing team coordination, enhan作者: ITCH 時(shí)間: 2025-3-31 11:35 作者: Countermand 時(shí)間: 2025-3-31 13:41
https://doi.org/10.1007/b137394 authors and recommendations. The common part of those guides was that all of them were useful to reduce the noise and focus the attention of users in web interfaces. Some of these recommendations were evaluated in very confined environments, this research tries to evaluate the possible advantage of
