Proceedings of the 2019 Conference on Human Information Interaction and Retrieval最新文献

Understanding How People use Search to Support their Everyday Creative Tasks 了解人们如何使用搜索来支持他们的日常创造性任务

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298936

Yinglong Zhang, Robert G. Capra

{"title":"Understanding How People use Search to Support their Everyday Creative Tasks","authors":"Yinglong Zhang, Robert G. Capra","doi":"10.1145/3295750.3298936","DOIUrl":"https://doi.org/10.1145/3295750.3298936","url":null,"abstract":"Creativity is an essential part of people's daily life and work across a range of everyday tasks. However, little prior work has explored how people use search engines and information resources as part of their creative processes, and how systems might better support users working on creative tasks. In this paper, we conducted an online survey with 175 participants to explore how people use search engines and online resources (e.g., images, videos, and social media) to support their creative tasks. Our participants reported information seeking to support a broad range of everyday creativity including tasks in arts, writing, crafts, and technical projects. Our findings show that participants' tasks included multiple stages of creative processes (e.g., creating ideas, combining ideas, executing plans) and that participants reported using search engines along with other tools (such as images and videos) to facilitate their creative process. By using Bayesian random effects regression models, we found that different stages of the creative process influence participants' use of tools. For example, for tasks that involved creating ideas, participants were more likely to use images and social sites, and when needing to put ideas into practice they were more likely to use videos. We also found differences in users' satisfaction with using the tools for different creative stages. Based on our findings, we provide recommendations for supporting users' information seeking needs during creative tasks.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122609228","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: 16

Exploring Email Triage: Challenges and Opportunities 探索电子邮件分类:挑战与机遇

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298960

Bahareh Sarrafzadeh, Ahmed Hassan Awadallah, Milad Shokouhi

引用次数: 1

Interacting with Digital Documents: A Real Life Study of Historians' Task Processes, Actions and Goals 与数字文献互动:历史学家任务过程、行动和目标的真实生活研究

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298931

Laura Korkeamäki, S. Kumpulainen

引用次数: 12

Relevance-driven Clustering for Visual Information Retrieval on Twitter Twitter视觉信息检索的关联驱动聚类

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298914

Mohamed Reda Bouadjenek, S. Sanner

{"title":"Relevance-driven Clustering for Visual Information Retrieval on Twitter","authors":"Mohamed Reda Bouadjenek, S. Sanner","doi":"10.1145/3295750.3298914","DOIUrl":"https://doi.org/10.1145/3295750.3298914","url":null,"abstract":"Geo-temporal visualization of Twitter search results is a challenging task since the simultaneous display of all matching tweets would result in a saturated and unreadable display. In such settings, clustering search results can assist users to scan only a few coherent groups of related tweets rather than many individual tweets. However, in practice, the use of unsupervised clustering methods such as K -Means does not necessarily guarantee that the clusters themselves are relevant. Therefore, we develop a novel method of relevance-driven clustering for visual information retrieval to supply users with highly relevant clusters representing different information perspectives of their queries. We specifically propose a Visual Twitter Information Retrieval (Viz-TIR) tool for relevance-driven clustering and ranking of Twitter search results. At the heart of Viz-TIR is a fast greedy algorithm that optimizes an approximation of an expected F1-Score metric to generate these clusters. We demonstrate its effectiveness w.r.t. K -Means and a baseline method that shows all top matching results on a scenario related to searching natural disasters in US-based Twitter data spanning 2013 and 2014. Our demo shows that Viz-TIR is easy to use and more precise in extracting geo-temporally coherent clusters given search queries in comparison to K-Means, thus aiding the user in visually searching and browsing social network content. Overall, we believe this work enables new opportunities for the synthesis of information retrieval as well as combined relevance and display-aware optimization techniques to support query-adaptive visual information exploration interfaces.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127993881","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: 10

An Interactive Image Retrieval Approach to Searching for Images on Social Media 一种交互式图像检索方法在社交媒体上搜索图像

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298930

Manali Gaikwad, O. Hoeber

引用次数: 5

A Reference-Dependent Model of Search Evaluation 基于参考的搜索评价模型

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298970

Jiqun Liu

{"title":"A Reference-Dependent Model of Search Evaluation","authors":"Jiqun Liu","doi":"10.1145/3295750.3298970","DOIUrl":"https://doi.org/10.1145/3295750.3298970","url":null,"abstract":"Most of the existing IR studies employed final values of search behavior measures in building evaluation metrics. However, according to the theories and empirical evidences from Behavioral Economics studies, in people's evaluations of actions and outcomes, the carriers of the values of different actions are gains and losses defined relative to a reference point, rather than the absolute final assets. Based on this idea, I will first explore how users' levels of search satisfaction are affected by the gains and losses defined relative to the pre-search expectations of system performance or reference levels in a controlled lab study. Then, based on the data collected from a field study, I will test the predicative power of my reference-dependent models (built upon delta-value-based behavioral features given the corresponding reference points) in predicting user satisfaction in naturalistic settings, aiming to examine the extent to which the reference-dependent approach can approximate real users' search evaluations. The findings of this work can help us better understand the subjectivity, bias, and variation in users' evaluation of search experience and thus have implications for user modeling and system recommendations design.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129112986","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

Take One for the Team: Social-emotional Interactions and Outcomes on Social Question and Answers Sites 为团队做一件事:社会问答网站上的社会情感互动和结果

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298955

Sei-Ching Joanna Sin, Xinran Chen

{"title":"Take One for the Team: Social-emotional Interactions and Outcomes on Social Question and Answers Sites","authors":"Sei-Ching Joanna Sin, Xinran Chen","doi":"10.1145/3295750.3298955","DOIUrl":"https://doi.org/10.1145/3295750.3298955","url":null,"abstract":"With a process- and interaction-focus, this study posited that the nature and flow of users' interactions on a social question & answer (SQA) thread can impact their collaborative information seeking outcomes. Interaction Process Analysis (IPA) was applied to investigate the types and outcomes of users' social-emotional interactions. Over 1,000 Stack Overflow postings were manually coded; Chi-square tests and logistic regressions were used for analysis. The study found that over half of the sample included IPA social-emotional acts. Interestingly, Disagrees , an act in IPA's negative social-emotional area, was the most frequently found category. Disagrees exhibited a significant negative relationship with the post-level outcome, post score, but a significant positive main effect and an interaction effect with a thread-level outcome, view count. The study identified two tension points: (1) potential benefits for the group of collaborative information seekers, at the slight expense of the individual who performed the negative social-emotional act; and (2) strains between the instrumental vs. social aspects of SQA. Research and practical implications of the findings were discussed.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131047289","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

The Impact of Dyslexia on the Information-Seeking Behaviour of Undergraduate Students 阅读障碍对大学生信息寻求行为的影响

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298971

Lynne Cole

{"title":"The Impact of Dyslexia on the Information-Seeking Behaviour of Undergraduate Students","authors":"Lynne Cole","doi":"10.1145/3295750.3298971","DOIUrl":"https://doi.org/10.1145/3295750.3298971","url":null,"abstract":"This research aims to identify the impact of dyslexia on the information-seeking behaviour of undergraduate students within the context of preparation for a HE assignment by understanding the barriers to information-seeking and the workarounds employed. This will allow recommendations for support, through instruction and system design, to be made. A qualitative approach has been adopted to gain a rich, in-depth understanding of how dyslexia impacts information-seeking and naturalistic data has been collected. Participant captured screen recordings with follow up interviews have been collected and retrospective think aloud sessions are ongoing with undergraduate students with dyslexia. Initial findings suggest that dyslexia is causing barriers to information-seeking due to cognitive and affective challenges. Barriers identified from initial findings included difficulties attributed to spelling and memory difficulties which could manifest in the focus formulation phase of Kuhlthau's ISP and Bates' berrypicking model. Affective barriers relating to self-efficacy while information-seeking that could cause the information-seeker frustration were also found. There were indications that workarounds are being employed to try and overcome the difficulties to information-seeking caused by dyslexia, such as the use of query building aids, and the effectiveness of these workarounds for information-seekers with dyslexia will be investigated in future work.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129659929","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

A Visual Approach to Query Formulation for Systematic Search 面向系统搜索的可视化查询公式

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298919

Tony Russell-Rose, Jon Chamberlain, F. Shokraneh

引用次数: 15

Where to Go and What to Do: Towards Understanding Task-Based Information Behavior at Transitional Spaces 向何处去，做什么:理解过渡空间中基于任务的信息行为

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298972

Melanie A. Kilian

引用次数: 1