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Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization最新文献

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Adaptive E-Learning: Motivating Learners whilst Adapting Feedback to Cultural Background 适应性电子学习:激励学习者的同时使反馈适应文化背景
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI: 10.1145/3320435.3323464
Muhammad Adamu Sidi-Ali
{"title":"Adaptive E-Learning: Motivating Learners whilst Adapting Feedback to Cultural Background","authors":"Muhammad Adamu Sidi-Ali","doi":"10.1145/3320435.3323464","DOIUrl":"https://doi.org/10.1145/3320435.3323464","url":null,"abstract":"The personalization of feedback by an Intelligent Tutoring System has the potential to greatly improve learner motivation. This PhD investigates how an Intelligent Tutoring System can adapt to the cultural background of learners when giving feedback. The research uses the user-as-wizard method for investigation. To convey the cultural background of the learner in user studies, validated cultural stories (using Hofstede cultural dimensions) are required. These stories are then used to conduct qualitative and empirical studies to investigate how participants from a range of different cultures believe the culture of a learner should affect the kind of feedback given. The insights gathered from these studies will be unified to inspire an algorithm to allow an intelligent tutoring system to utilise these adaptations, and the effects tested on real learners.","PeriodicalId":254537,"journal":{"name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131852348","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: 1
Chatterbox: Conversational Interfaces for Microtask Crowdsourcing Chatterbox:微任务众包的会话接口
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI: 10.1145/3320435.3320439
Panagiotis Mavridis, Owen Huang, S. Qiu, U. Gadiraju, A. Bozzon
{"title":"Chatterbox: Conversational Interfaces for Microtask Crowdsourcing","authors":"Panagiotis Mavridis, Owen Huang, S. Qiu, U. Gadiraju, A. Bozzon","doi":"10.1145/3320435.3320439","DOIUrl":"https://doi.org/10.1145/3320435.3320439","url":null,"abstract":"Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous experimental campaign aimed at gauging the interest and acceptance by crowdworkers for this type of work interface. We compared Web and conversational interfaces for five common microtask types and measured the execution time, quality of work, and the perceived satisfaction of 316 workers recruited from the FigureEight platform. We show that conversational interfaces can be used effectively for crowdsourcing microtasks, resulting in a high satisfaction from workers, and without having a negative impact on task execution time or work quality.","PeriodicalId":254537,"journal":{"name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","volume":"569 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117232106","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: 32
Combining Trending Scan Paths with Arousal to Model Visual Behaviour on the Web: A Case Study of Neurotypical People vs People with Autism 结合趋势扫描路径与觉醒来模拟网络上的视觉行为:神经正常人群与自闭症患者的案例研究
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI: 10.1145/3320435.3320446
Oludamilare Matthews, Sukru Eraslan, Victoria Yaneva, Alan Davies, Y. Yeşilada, Markel Vigo, S. Harper
{"title":"Combining Trending Scan Paths with Arousal to Model Visual Behaviour on the Web: A Case Study of Neurotypical People vs People with Autism","authors":"Oludamilare Matthews, Sukru Eraslan, Victoria Yaneva, Alan Davies, Y. Yeşilada, Markel Vigo, S. Harper","doi":"10.1145/3320435.3320446","DOIUrl":"https://doi.org/10.1145/3320435.3320446","url":null,"abstract":"People with autism often exhibit different visual behaviours from neurotypical users. To explore how these differences are exhibited on the Web, we model visual behaviour by combining pupillary response, which is an unobtrusive measure of physiological arousal, with eye-tracking scan paths that indicate visual attention. We evaluated our approach with two populations: 19 neurotypical users and 19 users with autism. We observe differences in their visual behaviours as, in certain instances, individuals with autism exhibit a lower arousal response to affective contents. While this is consistent with the literature on autism, we confirm this phenomenon on the Web. We discuss how our modelling method can be used to identify possible UX issues such as the presence of stress, cognitive load and differences in the perception of Web elements in relation to physiological arousal.","PeriodicalId":254537,"journal":{"name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121069843","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
WalkWithMe: Personalized Goal Setting and Coaching for Walking in People with Multiple Sclerosis 与我同行:多发性硬化症患者步行的个性化目标设定和指导
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI: 10.1145/3320435.3320459
Eva Geurts, F. V. Geel, P. Feys, K. Coninx
{"title":"WalkWithMe: Personalized Goal Setting and Coaching for Walking in People with Multiple Sclerosis","authors":"Eva Geurts, F. V. Geel, P. Feys, K. Coninx","doi":"10.1145/3320435.3320459","DOIUrl":"https://doi.org/10.1145/3320435.3320459","url":null,"abstract":"People with Multiple Sclerosis (pwMS) suffer from a diverse set of symptoms such as fatigue, pain, depression, and decline in motor and cognitive function. It has been proven that physical activity has a positive effect on most of these symptoms. However, many pwMS lead sedentary lives, and do not meet the guidelines for physical activity. We propose WalkWithMe, a mobile application that supports pwMS in walking. WalkWithMe coaches pwMS in achieving a personal goal over a period of 10 weeks. We conducted a workshop with pwMS and brainstorm sessions with experts in rehabilitation to define the design choices of WalkWithMe. We examined the impact of WalkWithMe in a 10-week field study with 13 pwMS. The study revealed insights in walking habits, and positive trends in walking capacity. In this paper, we present the design aspects of WalkWithMe, findings of our 10-week evaluation, and resulting insights on goal setting for pwMS.","PeriodicalId":254537,"journal":{"name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127307979","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
Modeling Behavior Patterns with an Unfamiliar Voice User Interface 用不熟悉的语音用户界面建模行为模式
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI: 10.1145/3320435.3320475
Chelsea M. Myers, David Grethlein, Anushay Furqan, Santiago Ontañón, Jichen Zhu
{"title":"Modeling Behavior Patterns with an Unfamiliar Voice User Interface","authors":"Chelsea M. Myers, David Grethlein, Anushay Furqan, Santiago Ontañón, Jichen Zhu","doi":"10.1145/3320435.3320475","DOIUrl":"https://doi.org/10.1145/3320435.3320475","url":null,"abstract":"Voice User Interfaces (VUIs) are becoming increasingly popular. However, how VUIs can adapt to user differences remains insufficiently understood. We analyze usage data from a user study (n=50) where participants interacted with an unfamiliar VUI. Through automated clustering and statistical analysis, we present user models of their behavior patterns. We found user behavior can be grouped into three clusters: people who become proficient with the system and typically stay proficient while completing different tasks, people who exhibit an exploratory approach to completing tasks, and people who struggled to complete tasks. We discuss design implications based on these behavior clusters.","PeriodicalId":254537,"journal":{"name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131586010","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
Personalized Gait-based Authentication Using UWB Wearable Devices 使用超宽带可穿戴设备的个性化步态认证
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI: 10.1145/3320435.3320473
Adriano Arra, Alessio Bianchini, Joana Chavez, Pietro Ciravolo, Fatjon Nebiu, Martina Olivelli, Gabriele Scoma, Simone Tavoletta, Matteo Zagaglia, Alessio Vecchio
{"title":"Personalized Gait-based Authentication Using UWB Wearable Devices","authors":"Adriano Arra, Alessio Bianchini, Joana Chavez, Pietro Ciravolo, Fatjon Nebiu, Martina Olivelli, Gabriele Scoma, Simone Tavoletta, Matteo Zagaglia, Alessio Vecchio","doi":"10.1145/3320435.3320473","DOIUrl":"https://doi.org/10.1145/3320435.3320473","url":null,"abstract":"Passive and effortless authentication of the owner of wearable devices can be achieved by building a personalized model of his/her movements during gait periods. In this paper, an authentication method based on the distances between a set of body-worn devices is proposed. The method assumes that no prior information is available about users different from the legitimate one. One-class classification methods are used to distinguish the gait segments of the owner from the gait segments of possible impostors. Experimental results show that accuracy values as high as ~87-91% can be obtained. The impact of different walking styles (normal, fast, slow, and carrying a bag) is also evaluated.","PeriodicalId":254537,"journal":{"name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114509994","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
Modeling Cognitive Status through Automatic Scoring of a Digital Version of the Clock Drawing Test 通过数字版时钟绘图测试的自动评分建模认知状态
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI: 10.1145/3320435.3320452
Alexander Prange, Daniel Sonntag
{"title":"Modeling Cognitive Status through Automatic Scoring of a Digital Version of the Clock Drawing Test","authors":"Alexander Prange, Daniel Sonntag","doi":"10.1145/3320435.3320452","DOIUrl":"https://doi.org/10.1145/3320435.3320452","url":null,"abstract":"The Clock Drawing Test is used as a cognitive assessment tool in geriatrics to detect signs of dementia or to model the progress of stroke recovery. The result is scored manually by a trained professional. We implement the Mendez scoring scheme and create a hierarchy of error categories that model the test characteristics of the clock drawing test, based on a set of impaired clock examples provided by a geriatrics clinic. Using a digital pen we recorded 120 clock samples for evaluating the automatic scoring system, with a total of 2400 error samples distributed over the 20 error classes of the Mendez scoring scheme. Error classes are scored automatically using a handwriting and gesture recognition framework. Results show that we provide a clinically relevant cognitive model for each subject. In addition, we heavily reduce the time spent on manual scoring. We compare manual scoring results with results produced by our automated system.","PeriodicalId":254537,"journal":{"name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131692724","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: 8
Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews 通过基于方面的用户评论情感分析来证明推荐的合理性
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI: 10.1145/3320435.3320457
C. Musto, P. Lops, M. Degemmis, G. Semeraro
{"title":"Justifying Recommendations through Aspect-based Sentiment Analysis of Users Reviews","authors":"C. Musto, P. Lops, M. Degemmis, G. Semeraro","doi":"10.1145/3320435.3320457","DOIUrl":"https://doi.org/10.1145/3320435.3320457","url":null,"abstract":"In this paper we present a methodology to justify the suggestions generated by a recommendation algorithm through the identification of relevant and distinguishing characteristics of the recommended item, automatically extracted by mining users' reviews. Our approach relies on a combination ofnatural language processing and sentiment analysis techniques, and is based on the following steps: (1) a set of users' reviews discussing the recommended item is gathered and analyzed; (2) the distinguishing aspects that characterize the item are extracted and a ranking function is used to identify the most relevant ones; (3) excerpts of the reviews discussing such aspects are extracted and a natural language template is filled in through the aggregation of these sentences. This represents the final output of the algorithm, which is provided to the user as justification of the recommendation she received. In the experimental evaluation, we carried out a user study (N=296, 73.6% male) aiming to investigate the effectiveness of our methodology in two different domains, as movies and books. Results showed that our technique can provide users with rich and satisfying justifications. Moreover, our experiment also showed that the users prefer review-based justifications to other explanation strategies, and this finding further confirmed the effectiveness of the approach.","PeriodicalId":254537,"journal":{"name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130673958","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: 35
Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction 基于作者-读者人格特征及其相互作用的说服性论点检测
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI: 10.1145/3320435.3320467
Michal Shmueli-Scheuer, Jonathan Herzig, D. Konopnicki, T. Sandbank
{"title":"Detecting Persuasive Arguments based on Author-Reader Personality Traits and their Interaction","authors":"Michal Shmueli-Scheuer, Jonathan Herzig, D. Konopnicki, T. Sandbank","doi":"10.1145/3320435.3320467","DOIUrl":"https://doi.org/10.1145/3320435.3320467","url":null,"abstract":"Persuasion is one of the most frequent, albeit challenging, tasks in human interaction. In a textual argument, one party (author) aims to change the view of the other party (reader). In this paper, we propose to detect persuasive textual arguments while considering the parties personality traits. We find that we can substantially improve accuracy by introducing features that capture author-reader personality traits and their interaction. Our model improves performance of state-of-the-art baselines from 66% to 71% on a new dataset of more than 19K arguments we collected.","PeriodicalId":254537,"journal":{"name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130055163","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 Accuracy of Eye Gaze-driven Classifiers for Predicting Image Content Familiarity in Graphical Passwords 视觉驱动分类器预测图形密码中图像内容熟悉度的准确性研究
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization Pub Date : 2019-06-07 DOI: 10.1145/3320435.3320474
Argyris Constantinides, Marios Belk, C. Fidas, A. Pitsillides
{"title":"On the Accuracy of Eye Gaze-driven Classifiers for Predicting Image Content Familiarity in Graphical Passwords","authors":"Argyris Constantinides, Marios Belk, C. Fidas, A. Pitsillides","doi":"10.1145/3320435.3320474","DOIUrl":"https://doi.org/10.1145/3320435.3320474","url":null,"abstract":"Graphical passwords leverage the picture superiority effect to enhance memorability, and reflect today's haptic users' interaction realms. Images related to users' past sociocultural experiences (e.g., retrospective) enable the creation of memorable and secure passwords, while randomly system-assigned images (e.g., generic) lead to easy-to-predict hotspot regions within graphical password schemes. What remains rather unexplored is whether the image type could be inferred during the password creation. In this work, we present a between-subjects user study in which 37 participants completed a recall-based graphical password creation task with retrospective and generic images, while we were capturing their visual behavior. We found that the image type can be inferred within a few seconds in real-time. User adaptive mechanisms might benefit from our work's findings, by providing users early feedback whether they are moving towards the creation of a weak graphical password.","PeriodicalId":254537,"journal":{"name":"Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133955125","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: 14
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