Proceedings of the 24th International Conference on Intelligent User Interfaces最新文献_第6页

ShopEye

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302299

Qian Zhang, Dong Wang, Run Zhao, Yufeng Deng, Yinggang Yu

引用次数: 1

Personalized explanations for hybrid recommender systems 混合推荐系统的个性化解释

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302306

Pigi Kouki, J. Schaffer, J. Pujara, J. O'Donovan, L. Getoor

{"title":"Personalized explanations for hybrid recommender systems","authors":"Pigi Kouki, J. Schaffer, J. Pujara, J. O'Donovan, L. Getoor","doi":"10.1145/3301275.3302306","DOIUrl":"https://doi.org/10.1145/3301275.3302306","url":null,"abstract":"Recommender systems have become pervasive on the web, shaping the way users see information and thus the decisions they make. As these systems get more complex, there is a growing need for transparency. In this paper, we study the problem of generating and visualizing personalized explanations for hybrid recommender systems, which incorporate many different data sources. We build upon a hybrid probabilistic graphical model and develop an approach to generate real-time recommendations along with personalized explanations. To study the benefits of explanations for hybrid recommender systems, we conduct a crowd-sourced user study where our system generates personalized recommendations and explanations for real users of the last.fm music platform. We experiment with 1) different explanation styles (e.g., user-based, item-based), 2) manipulating the number of explanation styles presented, and 3) manipulating the presentation format (e.g., textual vs. visual). We apply a mixed model statistical analysis to consider user personality traits as a control variable and demonstrate the usefulness of our approach in creating personalized hybrid explanations with different style, number, and format.","PeriodicalId":153096,"journal":{"name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","volume":"645 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122955371","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: 119

Photo sleuth: combining human expertise and face recognition to identify historical portraits 照片侦探:结合人类专业知识和面部识别来识别历史肖像

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302301

V. Mohanty, D. Thames, Sneha Mehta, Kurt Luther

引用次数: 20

StoryPrint StoryPrint

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302302

K. Watson, Samuel S. Sohn, Sasha Schriber, Markus H. Gross, C. Muñiz, Mubbasir Kapadia

引用次数: 8

Towards rapid interactive machine learning: evaluating tradeoffs of classification without representation 迈向快速交互机器学习:评估无表示分类的权衡

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302280

Dustin L. Arendt, Emily Saldanha, Ryan Wesslen, Svitlana Volkova, Wenwen Dou

引用次数: 11

Learning to assess the quality of stroke rehabilitation exercises 学会评估卒中康复训练的质量

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302273

Min Hun Lee, D. Siewiorek, A. Smailagic, A. Bernardino, S. Badia

{"title":"Learning to assess the quality of stroke rehabilitation exercises","authors":"Min Hun Lee, D. Siewiorek, A. Smailagic, A. Bernardino, S. Badia","doi":"10.1145/3301275.3302273","DOIUrl":"https://doi.org/10.1145/3301275.3302273","url":null,"abstract":"Due to the limited number of therapists, task-oriented exercises are often prescribed for post-stroke survivors as in-home rehabilitation. During in-home rehabilitation, a patient may become unmotivated or confused to comply prescriptions without the feedback of a therapist. To address this challenge, this paper proposes an automated method that can achieve not only qualitative, but also quantitative assessment of stroke rehabilitation exercises. Specifically, we explored a threshold model that utilizes the outputs of binary classifiers to quantify the correctness of a movements into a performance score. We collected movements of 11 healthy subjects and 15 post-stroke survivors using a Kinect sensor and ground truth scores from primary and secondary therapists. The proposed method achieves the following agreement with the primary therapist: 0.8436, 0.8264, and 0.7976 F1-scores on three task-oriented exercises. Experimental results show that our approach performs equally well or better than multi-class classification, regression, or the evaluation of the secondary therapist. Furthermore, we found a strong correlation (R2 = 0.95) between the sum of computed exercise scores and the Fugl-Meyer Assessment scores, clinically validated motor impairment index of post-stroke survivors. Our results demonstrate a feasibility of automatically assessing stroke rehabilitation exercises with the decent agreement levels and clinical relevance.","PeriodicalId":153096,"journal":{"name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134397091","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: 43

Who should be my teammates: using a conversational agent to understand individuals and help teaming 谁应该成为我的队友:使用会话代理来理解个人并帮助团队合作

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302264

Ziang Xiao, Michelle X. Zhou, W. Fu

引用次数: 41

Innovating with AI 人工智能创新

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3308447

A. Ram

引用次数: 0

Transformer: a database-driven approach to generating forms for constrained interaction Transformer:一种数据库驱动的方法，用于生成受约束交互的表单

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302269

Protiva Rahman, Arnab Nandi

引用次数: 4

Explaining recommendations in an interactive hybrid social recommender 在交互式混合社交推荐器中解释推荐

Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2019-03-17 DOI: 10.1145/3301275.3302318

Chun-Hua Tsai, Peter Brusilovsky

引用次数: 45