Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization最新文献

User Modeling for the Internet of Things 物联网用户建模

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079658

B. Kummerfeld, J. Kay

{"title":"User Modeling for the Internet of Things","authors":"B. Kummerfeld, J. Kay","doi":"10.1145/3079628.3079658","DOIUrl":"https://doi.org/10.1145/3079628.3079658","url":null,"abstract":"The Internet-of-Things (IoT) consists of a large number of interconnected, low cost devices and the framework for managing them. While this provides the means for rich and ubiquitous personalized interaction, a key gap is the lack of support for user modeling to harness and manage personal data gathered from IoT. Our work fills this gap by creating the IoTum user modeling framework for Internet-of-Things applications. Our design goals were to make it easy for IoT application developers to use, tackling the difficulty of building ubicomp systems. At the same time, we aimed to achieve light-weight, flexible, powerful, reactive user modeling that is accountable, transparent and scrutable. Applications interact with IoTum via three primitives, 'tell' to add evidence to a user model, 'ask' to retrieve interpreted evidenced from the model and 'listen' which establishes a monitoring process which can trigger the application. The first two of these have been part of many previous user modelling frameworks, including Personis, the server by Kobsa and Fink, CUMULATE and info-bead. However, IoTum is the first user modelling framework we are aware of that supports the last of these, the 'listen', which is key to making effective use of the many existing and emerging low cost sensors of IoT. Another important aspect is that IoTum maintains provenance information in the user model, to support accountability, scrutability and explanations. There are also mechanisms to define the user model and do introspection on existing models. To demonstrate that it meets its design goals, we describe its use to build a nutrition chatbot.","PeriodicalId":216017,"journal":{"name":"Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115715167","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: 11

Long and Short-Term Recommendations with Recurrent Neural Networks 递归神经网络的长期和短期建议

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079670

Robin Devooght, H. Bersini

引用次数: 111

A Unified Latent Factor Model for Effective Category-Aware Recommendation 有效类别感知推荐的统一潜在因素模型

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079649

Zhu Sun, G. Guo, Jie Zhang, Chi Xu

引用次数: 4

Conversational Group Recommender Systems 会话组推荐系统

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079704

T. Nguyen

引用次数: 10

Providing Control and Transparency in a Social Recommender System for Academic Conferences 在学术会议的社会推荐系统中提供控制和透明度

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079701

Chun-Hua Tsai, Peter Brusilovsky

引用次数: 29

Investigating the Impact of Personality and Cognitive Efficiency on the Selection of Exercises for Learners 研究个性和认知效率对学习者练习选择的影响

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079674

J. Okpo, J. Masthoff, Matt Dennis, N. Beacham, Ana Ciocarlan

{"title":"Investigating the Impact of Personality and Cognitive Efficiency on the Selection of Exercises for Learners","authors":"J. Okpo, J. Masthoff, Matt Dennis, N. Beacham, Ana Ciocarlan","doi":"10.1145/3079628.3079674","DOIUrl":"https://doi.org/10.1145/3079628.3079674","url":null,"abstract":"Adapting to learner characteristics is essential when selecting exercises for learners. This paper investigates how humans adapt next exercise selection to learner personality and invested mental effort to enable a future Intelligent Tutoring System to use these adaptations. Participants were presented with validated stories of a learner`s personality at polarised levels, a validated story conveying the mental effort invested in carrying out a given task and an indication of a previous performance (just passing) at a simple arithmetic exercise. Participants were also shown a selection of validated exercises of varying difficulty levels and asked to select the exercise which they thought the learner should do next. We found that overall more difficult exercises were selected for learners who used little effort than for learners who used more effort. We found that although an exercise of slightly harder difficulty remains the most popular choice in the high and low self-esteem conditions, for low self-esteem, participants picked an exercise of lower or the same difficulty more often than in the high condition.","PeriodicalId":216017,"journal":{"name":"Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122250186","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: 10

User Verification on Mobile Devices Using Sequences of Touch Gestures 使用触摸手势序列的移动设备上的用户验证

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079644

L. Kimon, Yisroel Mirsky, L. Rokach, Bracha Shapira

{"title":"User Verification on Mobile Devices Using Sequences of Touch Gestures","authors":"L. Kimon, Yisroel Mirsky, L. Rokach, Bracha Shapira","doi":"10.1145/3079628.3079644","DOIUrl":"https://doi.org/10.1145/3079628.3079644","url":null,"abstract":"Smartphones have become ubiquitous in our daily lives; they are used for a wide range of tasks and store increasing amounts of personal data. To minimize risk and prevent misuse of this data by unauthorized users, access must be restricted to verified users. Current classification-based methods for gesture-based user verification only consider single gestures, and not sequences. In this paper, we present a method which utilizes information from sequences of touchscreen gestures, and the context in which the gestures were made. To evaluate our approach, we built an application which records all the necessary data from the device (touch and contextual sensors which do not consume significant battery life), and installed it on several Galaxy S4 smartphones. The smartphones were given to 20 volunteers to use as their personal phones for two-weeks. Using XGBoost on the collected data, we were able to classify between a legitimate user and the population of illegitimate users (imposters) with an average equal error rate (EER) of 4.78% and an average area under the curve (AUC) of 98.15%. Our method demonstrates that by considering sequences of gestures, as opposed to individual gestures, the accuracy of the verification process improves significantly.","PeriodicalId":216017,"journal":{"name":"Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127359712","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

Sequences of Diverse Song Recommendations: An Exploratory Study in a Commercial System 不同歌曲推荐序列:商业系统的探索性研究

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079633

N. Tintarev, C. Lofi, Cynthia C. S. Liem

引用次数: 21

Evaluation of Learners' Adjustment of Question Difficulty in Adaptive Practice of Facts 事实适应性实践中学习者对问题难度调整的评价

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079642

Jan Papousek, Radek Pelánek

引用次数: 1

Deriving Item Features Relevance from Past User Interactions 从过去的用户交互中得出项目特征的相关性

Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization Pub Date : 2017-07-09 DOI: 10.1145/3079628.3079695

Leonardo Cella, Stefano Cereda, Massimo Quadrana, P. Cremonesi

引用次数: 9