Proceedings of the 20th International Conference on Intelligent User Interfaces最新文献

Tutorial on Personalization for Behaviour Change 行为改变的个性化教程

Proceedings of the 20th International Conference on Intelligent User Interfaces Pub Date : 2015-03-18 DOI: 10.1145/2678025.2716264

J. Masthoff, Julita Vassileva

引用次数: 24

Personalized Search: Reconsidering the Value of Open User Models 个性化搜索:重新考虑开放用户模型的价值

Proceedings of the 20th International Conference on Intelligent User Interfaces Pub Date : 2015-03-18 DOI: 10.1145/2678025.2701410

Jae-wook Ahn, Peter Brusilovsky, Shuguang Han

引用次数: 17

Aurigo: an Interactive Tour Planner for Personalized Itineraries Aurigo:个性化行程的互动旅游计划

Proceedings of the 20th International Conference on Intelligent User Interfaces Pub Date : 2015-03-18 DOI: 10.1145/2678025.2701366

A. Yahi, Antoine Chassang, Louis Raynaud, Hugo Duthil, Duen Horng Chau

引用次数: 40

IDGEI 2015: 3rd International Workshop on Intelligent Digital Games for Empowerment and Inclusion IDGEI 2015:第三届智能数字游戏授权和包容国际研讨会

Proceedings of the 20th International Conference on Intelligent User Interfaces Pub Date : 2015-03-18 DOI: 10.1145/2678025.2716268

L. Paletta, B. Schuller, P. Robinson, N. Sabouret

引用次数: 2

Content-driven Multi-modal Techniques for Non-linear Video Navigation 非线性视频导航的内容驱动多模态技术

Proceedings of the 20th International Conference on Intelligent User Interfaces Pub Date : 2015-03-18 DOI: 10.1145/2678025.2701408

Kuldeep Yadav, K. Srivastava, S. Prasad, Harish Arsikere, Sonal Patil, Ranjeet Kumar, Om Deshmukh

{"title":"Content-driven Multi-modal Techniques for Non-linear Video Navigation","authors":"Kuldeep Yadav, K. Srivastava, S. Prasad, Harish Arsikere, Sonal Patil, Ranjeet Kumar, Om Deshmukh","doi":"10.1145/2678025.2701408","DOIUrl":"https://doi.org/10.1145/2678025.2701408","url":null,"abstract":"The growth of Massive Open Online Courses (MOOCs) has been remarkable in the last few years. A significant amount of MOOCs content is in the form of videos and participants often use non-linear navigation to browse through a video. This paper proposes the design of a system that provides non-linear navigation in educational videos using features derived from a combination of audio and visual content of a video. It provides multiple dimensions for quickly navigating to a given point of interest in a video i.e., customized dynamic time-aware word-cloud, video pages, and a 2-D timeline. In word-cloud, the relative placement of the words indicates their temporal ordering in the video whereas color codes are used to represent acoustic stress. The 2-D timeline is used to present multiple occurrences of a keyword/concept in the video in response to user click in the word-cloud. Additionally, visual content is analyzed to identify frames with \"maximum written content\", known as video pages. We conducted a user study with 20 users to evaluate the proposed system and compared it with transcription-based interfaces used by major MOOC providers. Our findings suggest that the proposed system leads to statistically significant navigation time savings especially on multimodal navigation tasks.","PeriodicalId":308619,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128934080","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: 26

Learning Therapy Strategies from Demonstration Using Latent Dirichlet Allocation 从潜在狄利克雷分配的示范中学习治疗策略

Proceedings of the 20th International Conference on Intelligent User Interfaces Pub Date : 2015-03-18 DOI: 10.1145/2678025.2701403

Hee-Tae Jung, R. Freedman, Tammie Foster, Yu-Kyong Choe, S. Zilberstein, R. Grupen

引用次数: 11

Learning Higher-Order Interactions for User and Item Profiling Based on Tensor Factorization 基于张量分解的高阶交互学习

Proceedings of the 20th International Conference on Intelligent User Interfaces Pub Date : 2015-03-18 DOI: 10.1145/2678025.2701369

Xiaoyu Tang, Yue Xu, S. Geva

{"title":"Learning Higher-Order Interactions for User and Item Profiling Based on Tensor Factorization","authors":"Xiaoyu Tang, Yue Xu, S. Geva","doi":"10.1145/2678025.2701369","DOIUrl":"https://doi.org/10.1145/2678025.2701369","url":null,"abstract":"User profiling techniques play a central role in many Recommender Systems (RS). In recent years, multidimensional data are getting increasing attention for making recommendations. Additional metadata help algorithms better understanding users' behaviors and decisions. Existing user/item profiling techniques for Collaborative Filtering (CF) RS in multidimensional environment mostly analyze data through splitting the multidimensional relations. However, this leads to the loss of multidimensionality in user-item interactions; whereas the interactions are naturally multidimensional since users' choices are often affected by contextual information. In this paper, we propose a unified profiling approach which models users/items with latent higher-order interaction factors. We demonstrate that the proposed profiling approach is intimately related to two-dimensional profiling based on Matrix Factorization techniques. We further propose to integrate the profiling approach into three neighborhood-based CF recommenders for item recommendation. Finally, we empirically show on real-world social tagging datasets that the proposed recommenders outperform state-of-the-art CF recommendation approaches in accuracy.","PeriodicalId":308619,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131086495","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

Mixed-Initiative Real-Time Topic Modeling & Visualization for Crisis Counseling 危机咨询的混合主动实时主题建模与可视化

Proceedings of the 20th International Conference on Intelligent User Interfaces Pub Date : 2015-03-18 DOI: 10.1145/2678025.2701395

Karthik Dinakar, Jackie W. N. Chen, H. Lieberman, Rosalind W. Picard, Robert Filbin

引用次数: 44

Speech-based Interaction: Myths, Challenges, and Opportunities 基于语音的交互:神话、挑战和机遇

Proceedings of the 20th International Conference on Intelligent User Interfaces Pub Date : 2015-03-18 DOI: 10.1145/2678025.2716263

Cosmin Munteanu, Gerald Penn

{"title":"Speech-based Interaction: Myths, Challenges, and Opportunities","authors":"Cosmin Munteanu, Gerald Penn","doi":"10.1145/2678025.2716263","DOIUrl":"https://doi.org/10.1145/2678025.2716263","url":null,"abstract":"HCI research has for long been dedicated to better and more naturally facilitating information transfer between humans and machines. Unfortunately, humans' most natural form of communication, speech, is also one of the most difficult modalities to be understood by machines -- despite, and perhaps, because it is the highest-bandwidth communication channel we possess. While significant research efforts, from engineering, to linguistic, and to cognitive sciences, have been spent on improving machines' ability to understand speech, the HCI community has been relatively timid in embracing this modality as a central focus of research. This can be attributed in part to the relatively discouraging levels of accuracy in understanding speech, in contrast with often-unfounded claims of success from industry, but also to the intrinsic difficulty of designing and especially evaluating speech and natural language interfaces. The goal of this course is to inform the IUI community of the current state of speech and natural language research, to dispel some of the myths surrounding speech-based interaction, as well as to provide an opportunity for researchers and practitioners to learn more about how speech recognition and speech synthesis work, what are their limitations, and how they could be used to enhance current interaction paradigms. Through this, we hope that IUI researchers and general HCI, UI, and UX practitioners will learn how to combine recent advances in speech processing with user-centred principles in designing more usable and useful speech-based interactive systems.","PeriodicalId":308619,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126075250","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

Halo Content: Context-aware Viewspace Management for Non-invasive Augmented Reality Halo内容:用于非侵入性增强现实的上下文感知视空间管理

Proceedings of the 20th International Conference on Intelligent User Interfaces Pub Date : 2015-03-18 DOI: 10.1145/2678025.2701375

J. Orlosky, K. Kiyokawa, Takumi Toyama, Daniel Sonntag

{"title":"Halo Content: Context-aware Viewspace Management for Non-invasive Augmented Reality","authors":"J. Orlosky, K. Kiyokawa, Takumi Toyama, Daniel Sonntag","doi":"10.1145/2678025.2701375","DOIUrl":"https://doi.org/10.1145/2678025.2701375","url":null,"abstract":"In mobile augmented reality, text and content placed in a user's immediate field of view through a head worn display can interfere with day to day activities. In particular, messages, notifications, or navigation instructions overlaid in the central field of view can become a barrier to effective face-to-face meetings and everyday conversation. Many text and view management methods attempt to improve text viewability, but fail to provide a non-invasive personal experience for the user. In this paper, we introduce Halo Content, a method that proactively manages movement of multiple elements such as e-mails, texts, and notifications to make sure they do not interfere with interpersonal interactions. Through a unique combination of face detection, integrated layouts, and automated content movement, virtual elements are actively moved so that they do not occlude conversation partners' faces or gestures. Unlike other methods that often require tracking or prior knowledge of the scene, our approach can deal with multiple conversation partners in unknown, dynamic situations. In a preliminary experiment with 14 participants, we show that the Halo Content algorithm results in a 54.8% reduction in the number of times content interfered with conversations compared to standard layouts.","PeriodicalId":308619,"journal":{"name":"Proceedings of the 20th International Conference on Intelligent User Interfaces","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125614695","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: 23