Proceedings of the 24th International Conference on Intelligent User Interfaces最新文献

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Piano Genie 钢琴精灵
Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2018-10-11 DOI: 10.1145/3301275.3302288
Chris Donahue, Ian Simon, S. Dieleman
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引用次数: 36
Vulnerable to misinformation?: Verifi! 容易受到错误信息的影响?: Verifi !
Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2018-07-25 DOI: 10.1145/3301275.3302320
Alireza Karduni, Isaac Cho, Ryan Wesslen, Sashank Santhanam, Svitlana Volkova, Dustin L. Arendt, Samira Shaikh, Wenwen Dou
{"title":"Vulnerable to misinformation?: Verifi!","authors":"Alireza Karduni, Isaac Cho, Ryan Wesslen, Sashank Santhanam, Svitlana Volkova, Dustin L. Arendt, Samira Shaikh, Wenwen Dou","doi":"10.1145/3301275.3302320","DOIUrl":"https://doi.org/10.1145/3301275.3302320","url":null,"abstract":"We present Verifi2, a visual analytic system to support the investigation of misinformation on social media. Various models and studies have emerged from multiple disciplines to detect or understand the effects of misinformation. However, there is still a lack of intuitive and accessible tools that help social media users distinguish misinformation from verified news. Verifi2 uses state-of-the-art computational methods to highlight linguistic, network, and image features that can distinguish suspicious news accounts. By exploring news on a source and document level in Verifi2, users can interact with the complex dimensions that characterize misinformation and contrast how real and suspicious news outlets differ on these dimensions. To evaluate Verifi2, we conduct interviews with experts in digital media, communications, education, and psychology who study misinformation. Our interviews highlight the complexity of the problem of combating misinformation and show promising potential for Verifi2 as an educational tool on misinformation.","PeriodicalId":153096,"journal":{"name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","volume":"7 Suppl 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124002612","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: 25
Decision making strategies differ in the presence of collaborative explanations: two conjoint studies 决策策略在协作解释的存在下是不同的:两个联合研究
Proceedings of the 24th International Conference on Intelligent User Interfaces Pub Date : 2018-05-29 DOI: 10.1145/3301275.3302304
Ludovik Çoba, M. Zanker, L. Rook, P. Symeonidis
{"title":"Decision making strategies differ in the presence of collaborative explanations: two conjoint studies","authors":"Ludovik Çoba, M. Zanker, L. Rook, P. Symeonidis","doi":"10.1145/3301275.3302304","DOIUrl":"https://doi.org/10.1145/3301275.3302304","url":null,"abstract":"Rating-based summary statistics are ubiquitous in e-commerce, and often are crucial components in personalized recommendation mechanisms. Especially visual rating summarizations have been identified as important means to explain, why an item is presented or proposed to an user. Largely left unexplored, however, is the issue to what extent the descriptives of these rating summary statistics influence decision making of the online consumer. Therefore, we conducted a series of two conjoint experiments to explore how different summarizations of rating distributions (i.e., in the form of number of ratings, mean, variance, skewness, bimodality, or origin of the ratings) impact users' decision making. In a first study with over 200 participants, we identified that users are primarily guided by the mean and the number of ratings, and - to lesser degree - by the variance and origin of a rating. When probing the maximizing behavioral tendencies of our participants, other sensitivities regarding the summary of rating distributions became apparent. We thus instrumented a follow-up eye-tracking study to explore in more detail, how the choices of participants vary in terms of their decision making strategies. This second round with over 40 additional participants supported our hypothesis that users, who usually experience higher decision difficulty, follow compensatory decision strategies, and focus more on the decisions they make. We conclude by outlining how the results of these studies can guide algorithm development, and counterbalance presumable biases in implicit user feedback.","PeriodicalId":153096,"journal":{"name":"Proceedings of the 24th International Conference on Intelligent User Interfaces","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128889728","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: 13
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