Electronic Workshops in Computing最新文献

The Impact on Reading Performance and Learner Satisfaction & Behaviour, of Matching E-Training Material to Dyslexia Type 与阅读障碍类型匹配的电子训练材料对阅读表现和学习者满意度及行为的影响

Electronic Workshops in Computing Pub Date : 2022-07-01 DOI: 10.14236/ewic/hci2022.14

H. Al-Dawsari, R. Hendley

{"title":"The Impact on Reading Performance and Learner Satisfaction & Behaviour, of Matching E-Training Material to Dyslexia Type","authors":"H. Al-Dawsari, R. Hendley","doi":"10.14236/ewic/hci2022.14","DOIUrl":"https://doi.org/10.14236/ewic/hci2022.14","url":null,"abstract":"Dyslexia is a universal reading difficulty that can be found everywhere regardless of a person’s ethnicity or race. Its manifestation is language-dependent and is affected by the language’s structure and orthography. There is a lack of research into Arabic dyslexia and especially into the benefits of adaptive learning in this domain. This study aims to understand the impact on learners’ reading performance, satisfaction and behaviour when matching e-training material to a learner’s attributes. The focus is on learners with short vowel dyslexia (SVD). The study was undertaken with 22 female primary school children in Saudi Arabia, who were all native Arabic speakers. An e-training system DysTypeTrain2 was designed and developed to support the study. It was found that both the reading performance and satisfaction of learners with dyslexia were improved in both experimental conditions (SVD group and vowel dyslexia (VD) group), regardless of their dyslexia type, indicating that the system was effective and the learning process was enhanced. Arabic, Dyslexia Types, E-learning, Matching, Reading Performance, Learner Satisfaction, Adaptation","PeriodicalId":413003,"journal":{"name":"Electronic Workshops in Computing","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126029957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigating Uncertainty in Postoperative Bleeding Management: Design Principles for Decision Support 调查术后出血管理的不确定性:决策支持的设计原则

Electronic Workshops in Computing Pub Date : 2022-07-01 DOI: 10.14236/ewic/hci2022.25

D. Robinson, Luke Church, A. Blackwell, A. Vuylsteke, Kenton O’Hara, M. Besser

引用次数: 0

Neuro Art - liminal reflection, introspection and participatory art 神经艺术-有限的反思，自省和参与艺术

Electronic Workshops in Computing Pub Date : 2022-07-01 DOI: 10.14236/ewic/eva2022.27

Oliver M. Gingrich, Shama Rahman

引用次数: 1

NFTs In Music Industry: Potentiality and Challenge 音乐产业中的nft:潜力与挑战

Electronic Workshops in Computing Pub Date : 2022-07-01 DOI: 10.14236/ewic/eva2022.14

R. Folgieri, P. Arnold, Alessandro Giuseppe Buda

引用次数: 2

The User’s Experience. Exploring the Impact our Interactions with Technology Have on Us 用户体验。探索我们与科技的互动对我们的影响

Electronic Workshops in Computing Pub Date : 2022-07-01 DOI: 10.14236/ewic/hci2022.36

Tiffany E. Taylor

引用次数: 2

Meh, Marmite, Ick & Wow: Using paired feedback scales for liking and disliking Meh, Marmite, Ick & Wow:使用喜欢和不喜欢的成对反馈量表

Electronic Workshops in Computing Pub Date : 2022-07-01 DOI: 10.14236/ewic/hci2022.6

G. Rugg, Amy Martin, Maria Brasoveanu

引用次数: 0

Tools and technology to support rich community heritage 支持丰富的社区遗产的工具和技术

Electronic Workshops in Computing Pub Date : 2022-07-01 DOI: 10.14236/ewic/hci2022.2

A. Dix, Elizabeth Jones, Carys-Ann Neads, Vince Davies, Rachel Cowgill, Charlotte Armstrong, Rupert Ridgewell, M. Twidale, Stephen Downie, Maureen Reagan, Christina Bashford

引用次数: 2

The impact of banner advertisement placement for Arabic readers and advertising outcomes 横幅广告放置对阿拉伯语读者和广告效果的影响

Electronic Workshops in Computing Pub Date : 2022-07-01 DOI: 10.14236/ewic/hci2022.38

Wael El Zanaty, N. Kalogeras, David White

{"title":"The impact of banner advertisement placement for Arabic readers and advertising outcomes","authors":"Wael El Zanaty, N. Kalogeras, David White","doi":"10.14236/ewic/hci2022.38","DOIUrl":"https://doi.org/10.14236/ewic/hci2022.38","url":null,"abstract":"A main advantage of web advertising over other advertising mediums is its efficiency in driving purchase intentions, enabling consumers to jump from advertisement to purchase in a single click. This paper aims to explore the optimal advertisement placement for Arabic web pages by considering how advertising placement and page context affects advertising outcomes. This study is one of the first to examine the physiological and cognitive processes involved in the understanding of the effectiveness of ad placement in Arabic languages. The theoretical model suggests that advertising outcomes can be affected significantly by hemispheric context (how the two hemispheres of the brain process information on an image or text-oriented page) as well as hemispheric ad placement, pertaining to optimal left-right placement of image/text ads. Demographic and advertisement data was collected from participants during the study upon ensuring ethical approval for this. The data sample involved online testing of 320 Arabic readers who were shown one of eight different web page layouts, with each layout shown to 40 respondents. Results indicate that Arabic readers perform differently to English readers, since the former process text using both brain hemispheres, in comparison to other languages. The implications of this research are that placement and optimal banner advertisement design are highly dependent on the objectives of advertising.","PeriodicalId":413003,"journal":{"name":"Electronic Workshops in Computing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129380611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Using physiological signals to measure the Quality-of-Experience of Health Care Professionals when interacting with a clinical guideline mobile app 使用生理信号来衡量卫生保健专业人员在与临床指南移动应用程序交互时的体验质量

Electronic Workshops in Computing Pub Date : 2022-07-01 DOI: 10.14236/ewic/hci2022.22

J. Mitchell, N. Kanwal

引用次数: 0

Using a Computational Cognitive Model to Understand Phishing Classification Decisions 使用计算认知模型来理解网络钓鱼分类决策

Electronic Workshops in Computing Pub Date : 2022-07-01 DOI: 10.14236/ewic/hci2022.24

Matthew Shonman, Xiaoyu Shi, Mingqing Kang, Zuo Wang, Xiangyang Li, A. Dahbura

{"title":"Using a Computational Cognitive Model to Understand Phishing Classification Decisions","authors":"Matthew Shonman, Xiaoyu Shi, Mingqing Kang, Zuo Wang, Xiangyang Li, A. Dahbura","doi":"10.14236/ewic/hci2022.24","DOIUrl":"https://doi.org/10.14236/ewic/hci2022.24","url":null,"abstract":"Numerous studies of human user behaviours in cybersecurity tasks have used traditional research methods, such as self-reported surveys or empirical experiments, to identify relationships between various factors of interest and user security performance. This work takes a different approach, applying computational cognitive modelling to research the decision-making of cybersecurity users. The model described here relies on cognitive memory chunk activation to analytically simulate the decision-making process of a user classifying legitimate and phishing emails. Suspicious-seeming cues in each email are processed by examining similar, past classifications in long-term memory. We manipulate five parameters (Suspicion Threshold; Maximum Cues Processed; Weight of Similarity; Flawed Perception Level; Legitimate-to-Phishing Email Ratio in long-term memory) to examine their effects on accuracy, email processing time and decision confidence. Furthermore, we have conducted an empirical, unattended study of US participants performing the same task. Analyses on the empirical study data and simulation output, especially clustering analysis, show that these two research approaches complement each other for more insightful understanding of this phishing detection task. The analyses also demonstrate several limitations of this computational model that cannot easily capture certain user types and phishing detection strategies, calling for a more dynamic and sophisticated model construction.","PeriodicalId":413003,"journal":{"name":"Electronic Workshops in Computing","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130719192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0