Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization最新文献_第6页

How to Use Social Relationships in Group Recommenders: Empirical Evidence 如何在群体推荐中使用社会关系:经验证据

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209226

Amra Delic, J. Masthoff, J. Neidhardt, H. Werthner

引用次数: 23

Running Recommendations: Personalisation Opportunities for Health and Fitness 跑步建议:健康和健身的个性化机会

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209269

Barry Smyth

引用次数: 2

Lea's Box' Persuadable Open Learner Model: A Case Study in the Field of Speed Reading Training Lea's Box'可说服开放学习者模式:以快速阅读训练为例

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209257

M. Kickmeier-Rust, B. Ginon, Matthew D. Johnson, Ali Türker

{"title":"Lea's Box' Persuadable Open Learner Model: A Case Study in the Field of Speed Reading Training","authors":"M. Kickmeier-Rust, B. Ginon, Matthew D. Johnson, Ali Türker","doi":"10.1145/3209219.3209257","DOIUrl":"https://doi.org/10.1145/3209219.3209257","url":null,"abstract":"Learner models are a key element of many intelligent computer-based assessment and training approaches. Oftentimes, these models, the processes, and evidences are hidden from the learners and even teachers. Open learner models (OLM) are intended to make the underlying logic of a model as well as the evidences that contributed to a certain student appraisal transparent to its users. Furthermore, they are intended to support learning in a formative sense, aiming to help learners to self-monitor, plan, focus, and work independently as well as to communicate and negotiate appraisals with peers and teachers. We present a use case where Lea's OLM uses evidence from a speed-reading training application, to build the model. Learners use a persuasion function to interact with the system and maintain the OLM. The study showed that students are able to use it efficiently in order to make their model more accurate. We argue that persuasion, and other interactive maintenance features, are a strong approach to improve a transparent and accurate learner modelling, specifically when the underlying evidences are manifold and from multiple, partially unclear sources. Moreover, we found that the possibility to interact with the system on an individual basis and to have the possibility to intervene in the process is a strong means of making educational systems more personalized","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"74 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134011958","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

Controlling Spotify Recommendations: Effects of Personal Characteristics on Music Recommender User Interfaces 控制Spotify推荐:个人特征对音乐推荐用户界面的影响

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209223

Martijn Millecamp, N. Htun, Yucheng Jin, K. Verbert

{"title":"Controlling Spotify Recommendations: Effects of Personal Characteristics on Music Recommender User Interfaces","authors":"Martijn Millecamp, N. Htun, Yucheng Jin, K. Verbert","doi":"10.1145/3209219.3209223","DOIUrl":"https://doi.org/10.1145/3209219.3209223","url":null,"abstract":"The \"black box'' nature of today's recommender systems raises a number of challenges for users, including a lack of trust and limited user control. Providing more user control is interesting to enable end-users to help steer the recommendation process with additional input and feedback. However, different users may have different preferences with regard to such control. To the best of our knowledge, no research has investigated the effect of personal characteristics on visual control techniques in the music recommendation domain. In this paper, we present results of a user study on the web using two different visualisation techniques (a radar chart and sliders) that allows users to control Spotify recommendations. A within-subject design withLatin Square counterbalancing measures was used for the study. Results indicate that the radar chart helped the participants discover a significantly higher number of new songs compared to the sliders. We also found that users' experience with Spotify had an influence on their interaction with different musical attributes. The participants who used Spotify frequently and users with a high individual musical sophistication interacted with the attributes significantly more with the radar chart compared to the sliders. Individual musical sophistication also had a significant impact on their interaction with the interaction techniques. The participants with high musical sophistication interacted significantly more with the radar chart in comparison to the sliders. Based on the feedback from our participants, we provide design suggestions to further improve user control in music recommendation.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126152704","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: 51

Session details: Technology-Enhanced Adaptive Learning I 会议详情:技术增强的适应性学习

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3258605

J. Kay

引用次数: 0

A Fine-Grained Open Learner Model for an Introductory Programming Course 程序设计入门课程的细粒度开放学习者模型

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209242

Jordan Barria-Pineda, Julio Daniel Guerra Hollstein, Peter Brusilovsky

{"title":"A Fine-Grained Open Learner Model for an Introductory Programming Course","authors":"Jordan Barria-Pineda, Julio Daniel Guerra Hollstein, Peter Brusilovsky","doi":"10.1145/3209219.3209242","DOIUrl":"https://doi.org/10.1145/3209219.3209242","url":null,"abstract":"Guiding students to the learning activities that are most appropriate for their current level of knowledge is one of the goals that adaptive educational systems tried to achieve during the last decades. Recently, several attempts have been made to use Open Learner Models (OLM) as a tool for achieving this goal. While the original goal of OLM is to help students reflect about their own learning process, extending OLM with navigation support functionality enables students to take immediate actions towards improving their knowledge. In this work, we attempted to extend the navigation support functionality of OLM by developing a fine-grained OLM that offers student knowledge visualization on both topic and concept levels. The fine-grained OLM enables students to directly explore connections between their knowledge and available learning activities, making an informed decision about their next learning steps. To assess the impact of the new type of OLM, we evaluated several versions of it in a classroom study, while also comparing it with data from our earlier studies that featured a coarse-grained OLM. Our results suggest that the fine-grained OLM considerably impacts student choice of learning activities, making student learning more efficient. We also found that the specific design features of fine-grained OLM could affect students' confidence and persistence while selecting and attempting the learning activities.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130001556","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: 15

Investigating Serial Position Effects in Sequential Group Decision Making 序贯群体决策中的序列位置效应研究

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209255

Thi Ngoc Trang Tran, Müslüm Atas, A. Felfernig, Ralph Samer, Martin Stettinger

引用次数: 10

Scaffolding for an OLM for Long-Term Physical Activity Goals 为长期体育活动目标的OLM搭建框架

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209220

Lie Ming Tang, J. Kay

{"title":"Scaffolding for an OLM for Long-Term Physical Activity Goals","authors":"Lie Ming Tang, J. Kay","doi":"10.1145/3209219.3209220","DOIUrl":"https://doi.org/10.1145/3209219.3209220","url":null,"abstract":"An important role of open learner models (OLMs) is to support self-reflection. We explore how to do this for an OLM based on fine-grained long term physical activity tracker data that many people are accumulating. We aim to tackle two well-documented challenges that people face, in making effective use of an OLM for reflection. 1. We created a tutorial to scaffold sense-making needed to understand the meaning of the OLM. 2. We integrated an interface scaffold to help users consider key questions for effective reflection. We report the results of a qualitative think-aloud lab study with 21 participants viewing their own long term OLM. To evaluate the tutorial scaffolding, we split participants into an experimental group, who did a tutorial before exploring the OLM and a control group which explored the interface without the tutorial. To evaluate the reflection scaffolding, all participants first explored the interface as they wished. We then provided goal prompts to scaffold reflection. Our study revealed that, under lab conditions, the tutorial scaffolding was not needed - all participants in both groups could readily understand the OLM. However, we found that several of the goal prompts were important to help participants consider key questions for effective reflection. Our key contribution is insights into the design of scaffolding for reflection in a life-long learning context of gaining insights and setting goals for physical activity.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114725374","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

The Effect of Gender and Age on the Factors That Influence Healthy Shopping Habits in E-Commerce 性别和年龄对电子商务中健康购物习惯影响因素的影响

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209253

I. Adaji, Kiemute Oyibo, Julita Vassileva

{"title":"The Effect of Gender and Age on the Factors That Influence Healthy Shopping Habits in E-Commerce","authors":"I. Adaji, Kiemute Oyibo, Julita Vassileva","doi":"10.1145/3209219.3209253","DOIUrl":"https://doi.org/10.1145/3209219.3209253","url":null,"abstract":"People typically eat what they shop for; if consumers shop for healthy foods, they will likely eat healthy foods. In order to influence healthier eating habits among consumers, it is important to identify the factors that influence them to shop for healthy foods. To contribute to ongoing research in this area, we explore the influence of commonly used e-commerce strategies: personality, persuasive strategies, social support, relative price, and perceived product quality on healthy shopping habits among e-commerce shoppers. Research has shown that personalizing these strategies makes them more effective in achieving the desired behavior change among users. Age and gender have been identified as factors that can be used for group-based personalization. We thus investigate the moderating effect of age and gender on the factors that influence healthy shopping habits in e-commerce shoppers. To achieve this, we carried out an online study of 244 e-commerce shoppers. Using partial least squares structural equation modeling (PLS-SEM), we developed a path model using the commonly used e-commerce factors: personality, persuasive strategies, social support, relative price, and perceived product quality. The result of our analysis suggests that social support, relative price and perceived product quality significantly influence healthy shopping habits in e-commerce shoppers. In addition, females are more influenced by social support to adopt healthy shopping habits compared to male e-shoppers. Furthermore, older shoppers are more influenced by social support to adopt healthy shopping habits, while the younger shoppers are more influenced by the relative price of products.","PeriodicalId":110331,"journal":{"name":"Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129994838","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: 7

Orient Me!: Important Event Identification in an Enterprise Activity Stream 东方我!:企业活动流中的重要事件识别

Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization Pub Date : 2018-07-03 DOI: 10.1145/3209219.3209247

Naama Zwerdling, Inbal Ronen, L. Leiba, Maya Barnea

引用次数: 0