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標題: Titlebook: Artificial Intelligence in HCI; First International Helmut Degen,Lauren Reinerman-Jones Conference proceedings 2020 Springer Nature Switze [打印本頁]

作者: NK871    時間: 2025-3-21 16:52
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: 星星    時間: 2025-3-21 23:38

作者: 手勢    時間: 2025-3-22 01:35

作者: 政府    時間: 2025-3-22 08:02

作者: NEXUS    時間: 2025-3-22 09:10

作者: 混合    時間: 2025-3-22 16:25

作者: hematuria    時間: 2025-3-22 20:21

作者: 拋物線    時間: 2025-3-22 21:38

作者: 連鎖    時間: 2025-3-23 02:47
Educators in the Loop: Using Scenario Simulation as a Tool to Understand and Investigate Predictive models, educators carried out a formative evaluation on the prototype. The findings indicate that this type of scenario simulation can be useful for questioning the results of an AI, even with people without technical knowledge about predictive models.
作者: aerial    時間: 2025-3-23 09:25
Child Abuse: An Academic Overviewf data-driven persona development include (a) creating personas also from outliers (not only majority groups), (b) using data to demonstrate diversity within a persona, (c) explaining the methods and their limitations as a form of transparency, and (d) triangulating the persona information to increase truthfulness.
作者: heckle    時間: 2025-3-23 12:31

作者: 廣大    時間: 2025-3-23 17:25

作者: enmesh    時間: 2025-3-23 19:12

作者: 闡明    時間: 2025-3-24 00:21
Conference proceedings 2020f the 22nd International Conference on Human-Computer Interaction, HCII 2020, in July 2020. The conference was planned to be held in Copenhagen, Denmark, but had to change to a virtual conference mode due to the COVID-19 pandemic.??..The conference presents results from academic and industrial resea
作者: 山羊    時間: 2025-3-24 02:50
https://doi.org/10.1007/978-1-349-13306-2ble datasets. Results indicate an average performance increase of 4.84% in F1 scores relative to the baseline. We then analyze how the personas differ by their detected personality traits and discuss how personality traits could be implemented in data-driven persona profiles, as either scores or narratives.
作者: Trochlea    時間: 2025-3-24 07:29

作者: MEET    時間: 2025-3-24 12:31

作者: 得罪人    時間: 2025-3-24 15:11
Towards Increased Transparency with?Value Sensitive Designnable AI, both among practitioners and in academia, with contributions from diverse fields such as computer science, human-computer interaction, law, and philosophy. Using the Value Sensitive Design (VSD) method as a point of departure, this paper explores how VSD can be used in the context of trans
作者: 痛恨    時間: 2025-3-24 21:16
A Method for Quickly Establishing?Personas points that users face. At present, there are two main ways to establish personas. One is to generate personas qualitatively or quantitatively through interviews, questionnaires, etc. These processes are related to the experiences of analysts and the statistical methods used, usually resulting in d
作者: 載貨清單    時間: 2025-3-25 02:20
The Role of Behavioral Anthropomorphism in Human-Automation Trust Calibrationlibration” as an apt design goal– user trust should be at an appropriate level given a system’s reliability. One factor in user trust is the degree to which a system is perceived as humanlike, or anthropomorphic. However, relevant prior work does not explicitly characterize trust appropriateness, an
作者: 鬧劇    時間: 2025-3-25 04:23

作者: 收養(yǎng)    時間: 2025-3-25 08:54

作者: Expostulate    時間: 2025-3-25 15:08

作者: IRATE    時間: 2025-3-25 18:58
Enriching Social Media Personas with Personality Traits: A Deep Learning Approach Using the Big Fivedia data of an online news organization. After generating the personas, we aggregate each personas’ YouTube comments and predict the “Big Five” personality traits of each persona from the comments pertaining to that persona. For this, we develop a deep learning classifier using three publicly availa
作者: Arctic    時間: 2025-3-25 22:02

作者: Amplify    時間: 2025-3-26 01:03
Human-in-the-Loop Design Cycles – A Process Framework that Integrates Design Sprints, Agile Processees that integrate humans in the training and application of machine learning models. The present work argues that this process requirement does not represent an obstacle but an opportunity to optimize the design process. Hence, this work proposes a new process framework, Human-in-the-loop Design Cyc
作者: 舊石器時代    時間: 2025-3-26 05:26

作者: breadth    時間: 2025-3-26 10:37
A Paradigm Shift in Design Driven by AIintelligence and cognitive intelligence can change or even replace many traditional designers’ operations, especially those kinds of data-based and standardized work. AI already changed design method from design operations to computing logic, design object from objects to a complex adaptive system,
作者: 積習(xí)難改    時間: 2025-3-26 16:02
Support Vector Machine Algorithm to Classify Instagram Users’ Accounts Based on Users’ Interestson users’ interests. However, users still have a problem with some post appears that they don’t want to see it because it’s less important to them. Also, users spend a lot of time when searches for a particular account from the list of following. In this project, we proposed the classification of us
作者: 省略    時間: 2025-3-26 20:14
Customer Self-remediation of Proactive Network Issue Detection and Notificationchine Learning, primarily in the operate space has been conducted. Previous efforts have been primarily reactive in nature, monitoring networks, developing base models, and trying to predict future failures based on those models. This approach has shown limited success due to the dynamic nature of n
作者: 對待    時間: 2025-3-26 22:19

作者: CREEK    時間: 2025-3-27 04:38
Interaction with the Soundscape: Exploring Emotional Audio Generation for Improved Individual Wellbee. A computational approach to stabilise the sonic environment, tailored to a user’s current affective state may prove beneficial in a variety of scenarios, including workplace efficiency, and exercise. Herein, we present initial perception test results, from a rudimentary approach for soundscape au
作者: 縮短    時間: 2025-3-27 06:08
A Feature Importance Study in Ballet Pose Recognition with OpenPoseents and specific poses of the body, making it an attractive candidate for computer vision applications. This paper proposes a feature importance study for determining which body parts play the most significant role in ballet pose recognition. The study is based on the use of OpenPose for feature ex
作者: STERN    時間: 2025-3-27 13:01

作者: Basilar-Artery    時間: 2025-3-27 15:14

作者: Limousine    時間: 2025-3-27 17:46
https://doi.org/10.1007/978-3-030-50334-5artificial intelligence; computer hardware; computer networks; computer science; computer systems; comput
作者: Cirrhosis    時間: 2025-3-27 22:25
978-3-030-50333-8Springer Nature Switzerland AG 2020
作者: 深陷    時間: 2025-3-28 02:36

作者: 不連貫    時間: 2025-3-28 07:01

作者: 寬度    時間: 2025-3-28 12:31

作者: Pageant    時間: 2025-3-28 17:35
Ludo Van der Heyden,Quy Nguyen Huylibration” as an apt design goal– user trust should be at an appropriate level given a system’s reliability. One factor in user trust is the degree to which a system is perceived as humanlike, or anthropomorphic. However, relevant prior work does not explicitly characterize trust appropriateness, an
作者: Assemble    時間: 2025-3-28 21:48
Ludo Van der Heyden,Quy Nguyen Huys, for instance in medical diagnostics. While the algorithms’ complexity is a reason for their increased performance, it also leads to the ‘black box’ problem, consequently decreasing trust towards AI. In this regard, “Explainable Artificial Intelligence” (XAI) allows to open that black box and to i
作者: 婚姻生活    時間: 2025-3-28 23:15
The Impact of Family Business on Societyrs to help define potential Human-Machine Interface (HCI) and Human-Machine Teaming (HMT) models for human-centered machine translation systems. The role of the machine, in this context, is to be an AI-based agent serving as a real-time partner. The questions we ask are that if we have such an agent
作者: committed    時間: 2025-3-29 05:46

作者: 領(lǐng)巾    時間: 2025-3-29 09:50
https://doi.org/10.1007/978-1-349-13306-2dia data of an online news organization. After generating the personas, we aggregate each personas’ YouTube comments and predict the “Big Five” personality traits of each persona from the comments pertaining to that persona. For this, we develop a deep learning classifier using three publicly availa
作者: 翻布尋找    時間: 2025-3-29 14:17
Social Perspectives in Child Abuse in regard to perceived trustworthiness and observability. As the amount of processes automated by artificial intelligence (AI) increases, so does the need to investigate users’ perception. Previous research on explainable AI (XAI) tends to focus on technological optimization. The limited amount of
作者: Cytology    時間: 2025-3-29 19:32

作者: Urea508    時間: 2025-3-29 20:55

作者: 土坯    時間: 2025-3-30 00:01

作者: 易受刺激    時間: 2025-3-30 06:28

作者: oracle    時間: 2025-3-30 10:25
Effective Leadership of Change,chine Learning, primarily in the operate space has been conducted. Previous efforts have been primarily reactive in nature, monitoring networks, developing base models, and trying to predict future failures based on those models. This approach has shown limited success due to the dynamic nature of n
作者: 樹膠    時間: 2025-3-30 14:17

作者: 異端邪說2    時間: 2025-3-30 18:55
https://doi.org/10.1007/978-94-007-4354-0e. A computational approach to stabilise the sonic environment, tailored to a user’s current affective state may prove beneficial in a variety of scenarios, including workplace efficiency, and exercise. Herein, we present initial perception test results, from a rudimentary approach for soundscape au
作者: 不理會    時間: 2025-3-30 23:16

作者: 驚奇    時間: 2025-3-31 04:10
Social Indicators Research Seriestify students at risk of dropping out and, thus, reduce this index. However, predictive models can stop making accurate predictions over time and even contain cultural and prejudiced bias. Therefore, educators need to be included in the loop of modeling and simulating predictive models to identify p
作者: 關(guān)節(jié)炎    時間: 2025-3-31 07:36
Towards Increased Transparency with?Value Sensitive Designn of VSD with another case where a smaller audience participated in a more traditional VSD workshop. It is concluded that while the Envisioning Cards are effective in promoting ethical reflection in general, the realization of ethical values through transparency is not always similarly promoted. The
作者: Alcove    時間: 2025-3-31 11:46

作者: 滑動    時間: 2025-3-31 15:56
The Role of Behavioral Anthropomorphism in Human-Automation Trust Calibrationre each round, where appropriate trust was defined by a number of images that optimized performance. We found that communication style and reliability influenced perceptions of anthropomorphism and trustworthiness. Low and high reliability participants demonstrated overtrust and undertrust, respecti
作者: Onerous    時間: 2025-3-31 19:24
Transparency and Trust in Human-AI-Interaction: The Role of Model-Agnostic Explanations in Computer I can be used to compare the detection strategy of two different deep learning models often used for Computer Vision: Convolutional Neural Network and Multi-Layer Perceptron. Our empirical results show that i) the AI sometimes used questionable or irrelevant data features of an image to detect malar
作者: FUME    時間: 2025-3-31 23:35
Defining a Human-Machine Teaming Model for AI-Powered Human-Centered Machine Translation Agent by Le-to-English), and altogether we analyzed several hundred dialogs between these translators related to the translation results. Each dialog always started with an initial comment and would focus on one of many possible categories. The first question we asked was which categories were discussed more f
作者: 對手    時間: 2025-4-1 05:34
Color for Characters - Effects of Visual Explanations of AI on Trust and Observabilityy in an online experiment. While observability benefitted from visual explanations, information-rich explanations also led to decreased trust. Explanations can support human-AI interaction, but differentiated effects on trust and observability have to be expected. The suitability of different explan
作者: JOG    時間: 2025-4-1 06:33
Human-in-the-Loop Design Cycles – A Process Framework that Integrates Design Sprints, Agile Processele along four design dimensions (novelty, energy, simplicity, tool)..Mapping the four-dimensional user feedback into user stories and priorities, the design sprint thus transforms the user feedback directly into the implementation process. The human in the loop is a quality engineer who scrutinizes
作者: cardiopulmonary    時間: 2025-4-1 12:05

作者: unstable-angina    時間: 2025-4-1 15:38





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