Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization最新文献_第4页

Embedding Knowledge Graphs for Semantics-aware Recommendations based on DBpedia 基于DBpedia的语义感知推荐嵌入知识图

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI: 10.1145/3314183.3324976

C. Musto, Pierpaolo Basile, G. Semeraro

引用次数: 7

Towards Designing Advanced Password Cracking Toolkits: Optimizing the Password Cracking Process 迈向设计先进的密码破解工具包:优化密码破解过程

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI: 10.1145/3314183.3324967

P. Jourdan, Eliana Stavrou

{"title":"Towards Designing Advanced Password Cracking Toolkits: Optimizing the Password Cracking Process","authors":"P. Jourdan, Eliana Stavrou","doi":"10.1145/3314183.3324967","DOIUrl":"https://doi.org/10.1145/3314183.3324967","url":null,"abstract":"Passwords are still a widespread authentication mechanism that, despite the efforts of the cybersecurity community to educate people, are often predictable. Therefore, there is a need for defenders, e.g. cybersecurity/IT administrators, to periodically assess the users' passwords in their organization, improve their awareness on the security level and take measures to improve the situation. Password cracking can assist in the evaluation of the strength of passwords and a variety of tools exist to execute it. The challenge with this is that it is a time-consuming process and it needs to be optimized to detect weak passwords within a specific evaluation timeframe. To optimize the process, knowledge in the area and appropriate tools are required. However, even though a lot of research is performed in this area, the knowledge and tools are scarce, challenging defenders' tasks. Therefore, the need arises to promote the design of advanced tools, integrating existing user knowledge and creating powerful toolkits. This work presents the design of UPAT (Ultimate Password Awareness Toolkit), which specifies essential features to optimize the password cracking process. The evaluation results are encouraging as to the tool's effectiveness and users' satisfaction, demonstrating the importance of designing next generation password cracking toolkits to enhance the security of communication and information systems.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129108543","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: 3

Experimentation Pitfalls to Avoid in A/B Testing for Online Personalization 在线个性化A/B测试中应避免的实验陷阱

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI: 10.1145/3314183.3323853

Maria Esteller-Cucala, Vicenc Fernandez, Diego Villuendas

{"title":"Experimentation Pitfalls to Avoid in A/B Testing for Online Personalization","authors":"Maria Esteller-Cucala, Vicenc Fernandez, Diego Villuendas","doi":"10.1145/3314183.3323853","DOIUrl":"https://doi.org/10.1145/3314183.3323853","url":null,"abstract":"Online controlled experiments (also called A/B tests, bucket testing or randomized experiments) have become an habitual practice in numerous companies for measuring the impact of new features and changes deployed to softwares products. In theory, these experiments are one of the simplest methods to evaluate the potential effects that new features have on user's behavior. In practice, however, there are many pitfalls that can obscure the interpretation of results or induce invalid conclusions. There is, in the literature, no shortage of prior work on online controlled experiments addressing these pitfalls and conclusions misinterpretations, but the topic is not tackled considering the specific case of testing personalization features. In this paper, we present some of the experimentation pitfalls that are particularly important for personalization features. To better illustrate each pitfall, we include a combination of theoretical argumentation as well as examples from real company's experiments. While there is clearly value in evaluating personalized features by means of online controlled experiments, there are some pitfalls to bear in mind while testing. With this paper, we aim to increase the experimenters' awareness of leading to improved quality and reliability of the results.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128199877","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: 4

Privacy Issues in Holistic Recommendations 整体建议中的隐私问题

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI: 10.1145/3314183.3323461

F. Cena, R. Pensa, A. Rapp

引用次数: 0

Explaining Need-based Educational Recommendations Using Interactive Open Learner Models 使用互动式开放式学习者模型解释基于需求的教育建议

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI: 10.1145/3314183.3323463

Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky

{"title":"Explaining Need-based Educational Recommendations Using Interactive Open Learner Models","authors":"Jordan Barria-Pineda, Kamil Akhuseyinoglu, Peter Brusilovsky","doi":"10.1145/3314183.3323463","DOIUrl":"https://doi.org/10.1145/3314183.3323463","url":null,"abstract":"Students might pursue different goals throughout their learning process. For example, they might be seeking new material to expand their current level of knowledge, repeating content of prior classes to prepare for an exam, or working on addressing their most recent misconceptions. Multiple potential goals require an adaptive e-learning system to recommend learning content appropriate for students' intent and to explain this recommendation in the context of this goal. In our prior work, we explored explainable recommendations for the most typical 'knowledge expansion goal\". In this paper, we focus on students' immediate needs to remedy misunderstandings when they solve programming problems. We generate learning content recommendations to target the concepts with which students have struggled more recently. At the same time, we produce explanations for this recommendation goal in order to support students' understanding of why certain learning activities are recommended. The paper provides an overview of the design of this explainable educational recommender system and describes its ongoing evaluation","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125193626","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: 17

Tag-Based User Profiling: A Game Theoretic Approach 基于标签的用户分析:一种博弈论方法

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI: 10.1145/3314183.3323462

G. Faggioli, Mirko Polato, F. Aiolli

引用次数: 2

Driving Persuasive Games with Personal EEG Devices: Strengths and Weaknesses 用个人脑电图设备驱动说服性游戏:优势和劣势

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI: 10.1145/3314183.3325008

Chinenye Ndulue, Rita Orji

引用次数: 3

Shedding Light on Mobile App Store Censorship 分析手机应用商店审查制度

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI: 10.1145/3314183.3324965

Vasilis Ververis, Marios Isaakidis, Valentin Weber, Benjamin Fabian

{"title":"Shedding Light on Mobile App Store Censorship","authors":"Vasilis Ververis, Marios Isaakidis, Valentin Weber, Benjamin Fabian","doi":"10.1145/3314183.3324965","DOIUrl":"https://doi.org/10.1145/3314183.3324965","url":null,"abstract":"This paper studies the availability of apps and app stores across countries. Our research finds that users in specific countries do not have access to popular app stores due to local laws, financial reasons, or because countries are on a sanctions list that prohibit foreign businesses to operate within its jurisdiction. Furthermore, this paper presents a novel methodology for querying the public search engines and APIs of major app stores (Google Play Store, Apple App Store, Tencent MyApp Store) that is cross-verified by network measurements. This allows us to investigate which apps are available in which country. We primarily focused on the availability of VPN apps in Russia and China. Our results show that despite both countries having restrictive VPN laws, there are still many VPN apps available in Russia and only a handful in China. In addition, we have included findings of a global search for the availability of privacy-enhancing and other apps that are known to be censored. Finally, we observe that it is difficult to find out which apps have been removed or are unavailable on the examined app stores. As a consequence, we urge all app store providers to introduce app store transparency reports, which would include when apps were removed and for what reasons.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"07 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131231457","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: 9

On the Personalization of Image Content in Graphical Passwords based on Users' Sociocultural Experiences: New Challenges and Opportunities 基于用户社会文化体验的图形密码图像内容个性化:新的挑战与机遇

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI: 10.1145/3314183.3324966

Argyris Constantinides, C. Fidas, Marios Belk, A. Pitsillides

引用次数: 0

Assessing Objective Indicators of Users' Cognitive Load During Proactive In-Car Dialogs 主动车内对话中用户认知负荷的客观指标评估

Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-06 DOI: 10.1145/3314183.3324985

Maria Schmidt, David Helbig, Ojashree Bhandare, D. Stier, W. Minker, S. Werner

{"title":"Assessing Objective Indicators of Users' Cognitive Load During Proactive In-Car Dialogs","authors":"Maria Schmidt, David Helbig, Ojashree Bhandare, D. Stier, W. Minker, S. Werner","doi":"10.1145/3314183.3324985","DOIUrl":"https://doi.org/10.1145/3314183.3324985","url":null,"abstract":"Using Personal Assistants (PAs) via voice becomes increasingly usual as more and more devices in different environments offer this capability, such as Google Assistant, Amazon Alexa, Apple Siri, Microsoft Cortana, Mercedes-Benz MBUX or BMW Intelligent Personal Assistant. PAs help users to set reminders, find their way through traffic, or send messages to friends and colleagues. While serving the users' needs, PAs constantly collect personal data in order to personalize their services and adapt their behavior. In order to find out which objective Cognitive Load (CL) indicators reflect the users' perception of proactive system behavior in six specific use cases of an in-car PA, we conducted a Wizard of Oz study in a driving simulator with 42 participants. We varied traffic density and tracked physiological data, such as heart rate (HR) and electrodermal activity (EDA). We assessed the users' CL during the interaction with the PA by employing these data as well as real-time driving data (RTDA) via the Controller Area Network (CAN bus). The results show that physiological data like HR and EDA are not suitable to be used as indicators for the users' CL in this experiment. This is because the tracked physiological data do not show significant differences with respect to different traffic densities or proactivity. At the same time it has to be discussed whether the used type of recording physiological data is robust enough for our purposes. Concerning driving data, only the acceleration parameter showed a tendency towards differences between age groups, though insignificantly. The same is valid for the steering angle parameter when comparing male and female users. For future work, we plan to additionally evaluate subjective CL measures and other ratings to see whether these show more significant differences between the (non-)proactive assistants, traffic densities, or use cases.","PeriodicalId":240482,"journal":{"name":"Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization","volume":"9 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128671459","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: 6