Proceedings of the 2018 Conference on Human Information Interaction & Retrieval最新文献_第6页

How to Evaluate Humorous Response Generation, Seriously? 如何认真评估幽默回应生成?

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176879

Pavel Braslavski, Vladislav Blinov, Valeriia Bolotova-Baranova, Katya Pertsova

引用次数: 24

QWERTY: The Effects of Typing on Web Search Behavior QWERTY:打字对网络搜索行为的影响

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176872

Kevin Ong, K. Järvelin, M. Sanderson, Falk Scholer

引用次数: 12

SearchBots: User Engagement with ChatBots during Collaborative Search 搜索机器人:用户在协作搜索过程中与聊天机器人的互动

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176380

Sandeep Avula, Gordon Chadwick, Jaime Arguello, Robert G. Capra

{"title":"SearchBots: User Engagement with ChatBots during Collaborative Search","authors":"Sandeep Avula, Gordon Chadwick, Jaime Arguello, Robert G. Capra","doi":"10.1145/3176349.3176380","DOIUrl":"https://doi.org/10.1145/3176349.3176380","url":null,"abstract":"Popular messaging platforms such as Slack have given rise to hundreds of chatbots that users can engage with individually or as a group. We present a Wizard of Oz study on the use of searchbots (i.e., chatbots that perform specific types of searches) during collaborative information-seeking tasks. Specifically, we study searchbots that intervene dynamically and compare between two intervention types: (1) the searchbot presents questions to users to gather the information it needs to produce results, and (2) the searchbot monitors the conversation among the collaborators, infers the necessary information, and then displays search results with no additional input from the users. We investigate three research questions: (RQ1) What is the effect of a searchbot (and its intervention type) on participants» collaborative experience' (RQ2) What is the effect of a searchbot»s intervention type on participants» perceptions about the searchbot and level of engagement with the searchbot' and (RQ3) What are participants» impressions of a dynamic searchbot? Our results suggest that dynamic searchbots can enhance users» collaborative experience and that the intervention type does not greatly affect users» perceptions and level of engagement. Participants» impressions of the searchbot suggest unique opportunities and challenges for future work.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131589930","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: 58

Better Together: An Interdisciplinary Perspective on Information Retrieval 更好地在一起:信息检索的跨学科视角

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176571

S. Dumais

{"title":"Better Together: An Interdisciplinary Perspective on Information Retrieval","authors":"S. Dumais","doi":"10.1145/3176349.3176571","DOIUrl":"https://doi.org/10.1145/3176349.3176571","url":null,"abstract":"The success of information retrieval systems depends critically on both the ability of systems to efficiently and effectively retrieve information, and to support people in articulating their information needs and making sense of the results. This interdisciplinary, user-centered perspective on information systems motivated my early work on Latent Semantic Indexing (LSI), which sought to mitigate the disagreement between the vocabulary that authors use in writing and searchers use to express their information needs, and continues to shape my research today. Over the last two decades, search has become a core fabric of people's everyday lives, driven by advances in understanding context, natural language, and speech. I will illustrate how new capabilities in email and virtual assistants are driven by advances in both algorithms and user modeling. As we look forward to new types of information systems that anticipate information needs, interact via richer dialogs, and integrate physical and digital information, it is more important than ever to understand and support information seekers using interdisciplinary methods and perspectives.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115731798","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

Improving Exploration of Topic Hierarchies: Comparative Testing of Simplified Library of Congress Subject Heading Structures 改进主题层次结构的探索:美国国会图书馆简化主题标题结构的比较测试

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176385

J. Dinneen, Banafsheh Asadi, I. Frissen, Fei Shu, C. Julien

{"title":"Improving Exploration of Topic Hierarchies: Comparative Testing of Simplified Library of Congress Subject Heading Structures","authors":"J. Dinneen, Banafsheh Asadi, I. Frissen, Fei Shu, C. Julien","doi":"10.1145/3176349.3176385","DOIUrl":"https://doi.org/10.1145/3176349.3176385","url":null,"abstract":"Many large digital collections are organized by sorting their items into topics and arranging these topics hierarchically, such as those displayed in a tree view. The resulting information organization structures mitigate some of the challenges of searching digital information realms; however, the topic hierarchies are often large and complex, and thus difficult to navigate. Automated techniques have been shown to produce significantly smaller, simplified versions of existing topic hierarchies while preserving access to the majority of the collection, but these simplified topic hierarchies have never been tested with human participants, and so it is not clear what effect simplification would have on the exploration and use of such structures for browsing and retrieval. This study partly addresses this gap by performing a comparative test with three groups of university students (N=62) performing ten topic hierarchy exploration tasks using one of three versions of the Library of Congress Subject Headings (LCSH) hierarchy: 1) the original LCSH hierarchy, acting as a baseline, 2) a shallower version of 1), and 3) a narrower version of 2). A quantitative analysis of measures of accuracy, time, and browsing shows that participants using the simplified trees were significantly more accurate and faster than those using the unmodified tree, and the narrower, balanced tree was also faster than the shallower tree. These results show that automated topic hierarchy simplification can facilitate the use of such hierarchies, which has implications for the development of information organization theory and human-information interaction techniques for similar information structures.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115843685","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: 5

Task-based Information Seeking in Different Study Settings 不同学习环境下基于任务的信息搜索

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176351

Yiwei Wang

引用次数: 0

Analysis of Open Answers to Survey Questions through Interactive Clustering and Theme Extraction 基于交互式聚类和主题抽取的调查问题开放性答案分析

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176892

Fredrik Espinoza, Ola Hamfors, Jussi Karlgren, Fredrik Olsson, Per Persson, L. Hamberg, Magnus Sahlgren

引用次数: 6

How do Information Source Selection Strategies Influence Users' Learning Outcomes' 信息源选择策略对用户学习效果的影响

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176876

Chang Liu, Xiaoxuan Song

{"title":"How do Information Source Selection Strategies Influence Users' Learning Outcomes'","authors":"Chang Liu, Xiaoxuan Song","doi":"10.1145/3176349.3176876","DOIUrl":"https://doi.org/10.1145/3176349.3176876","url":null,"abstract":"Learning-related type of tasks has attracted much research attention recently but it is still not clear what factors would influence users learning outcomes and how. In this study, we conducted a user experiment to assess searchers learning outcomes and examine how information source selection strategies would influence their learning outcomes. In this experiment, thirty-two college students conducted search for two types of learning tasks: receptive tasks and critical tasks. Participants were asked to write down what they knew about the task before and after the search. For data analysis, we proposed a comprehensive assessment method, which used both quantitative measures (i.e. knowledge points, knowledge facets, knowledge scope, etc.) and qualitative measures to assess users' learning outcomes. Our results demonstrated that searchers' information source preferences influence their learning outcomes; i.e., encyclopedia-preferred sessions had better relevance of written summaries in receptive tasks and Q&A preferred sessions led to better relevance in critical tasks. Furthermore, searchers had two types of information source selection strategies: task-adaptive strategy and non-task-adaptive strategy. The results showed that searchers with task-adaptive strategy could gain better learning outcomes, e.g. knowledge points, facets, scope, depth, relevance and analyticity. This study highlighted the importance of information source selection strategies in learning-related type of tasks, and knowing how to select suitable information sources for different types of tasks may benefit the learning outcome for searchers.","PeriodicalId":198379,"journal":{"name":"Proceedings of the 2018 Conference on Human Information Interaction & Retrieval","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129601855","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: 22

Collaborative Information Seeking through Social Media Updates in Real-Time 通过社交媒体实时更新的协同信息搜索

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176869

K. Bhat, Andrés Moreno, M. Best

引用次数: 0

Towards Human-Like Conversational Search Systems 走向类人对话式搜索系统

Proceedings of the 2018 Conference on Human Information Interaction & Retrieval Pub Date : 2018-03-01 DOI: 10.1145/3176349.3176360

Mateusz Dubiel

引用次数: 5