Proceedings of the 2019 Conference on Human Information Interaction and Retrieval最新文献_第2页

Investigating the Effects of Popularity Data on Predictive Relevance Judgments in Academic Search Systems 研究学术搜索系统中人气数据对预测相关性判断的影响

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298978

Christiane Behnert

引用次数: 2

Online Hate Ratings Vary by Extremes: A Statistical Analysis 网络仇恨评级因极端而异:一项统计分析

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298954

Joni O. Salminen, Hind Almerekhi, A. Kamel, Soon-Gyo Jung, B. Jansen

引用次数: 43

Assessing Online Content Quality through User Surveys and Web Analytics 通过用户调查和网络分析评估在线内容质量

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298977

J. Muirhead

引用次数: 1

Variations in Assessor Agreement in Due Diligence 评估员协议在尽职调查中的变化

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298945

Adam Roegiest, Anne McNulty

引用次数: 2

Enslaved to the Trapped Data: A Cognitive Work Analysis of Medical Systematic Reviews 被困数据奴役:医学系统评价的认知工作分析

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298937

Ian A. Knight, Max L. Wilson, D. Brailsford, Natasa Milic-Frayling

{"title":"Enslaved to the Trapped Data: A Cognitive Work Analysis of Medical Systematic Reviews","authors":"Ian A. Knight, Max L. Wilson, D. Brailsford, Natasa Milic-Frayling","doi":"10.1145/3295750.3298937","DOIUrl":"https://doi.org/10.1145/3295750.3298937","url":null,"abstract":"Systematic reviews are a comprehensive and parameterised form of literature review, found in most disciplines, that involve exhaustive analyses and rigorous interpretation of prior literature. Performing systematic reviews, however, can involve repetitive and laborious work in order to reach reliable standards. Strict guidelines and availability of published reviews make the task amenable to computerised assistance and automation using text mining, information extraction, and machine learning techniques. However, it is unclear which aspects of this Work Task are best suited for such support. This paper describes a three-month ethnographic study and CognitiveWork Analysis of the systematic reviews performed by a medical research group. Our findings show that the IR aspects of systematic reviews involve many tasks at two separate levels: 1) taxonomic organisation of documents and sub-document elements in relation to topic queries and domain-specific resources, and 2) extraction methods for structured summaries from the classified resources. This provides the basis for future work designing search tools with localised optimization and subtask automation to support specific phases of the process.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"18 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":"131088263","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

Analysing Qualitative Data: You Asked Them, Now What to Do With What They Said 分析定性数据:你问了他们，现在该怎么处理他们说的话

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1057/978-1-352-00112-9_9

Rebekah Willson

引用次数: 6

Design Issues in Automatically Generated Persona Profiles: A Qualitative Analysis from 38 Think-Aloud Transcripts 自动生成角色配置文件中的设计问题:来自38个有声思考文本的定性分析

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298942

Joni O. Salminen, Sercan Sengün, Soon-Gyo Jung, B. Jansen

引用次数: 15

The Semantic Snake Charmer Search Engine: A Tool to Facilitate Data Science in High-tech Industry Domains 语义耍蛇人搜索引擎:促进高科技产业领域数据科学的工具

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298915

Corrado Grappiolo, E. V. Gerwen, J. Verhoosel, L. Somers

{"title":"The Semantic Snake Charmer Search Engine: A Tool to Facilitate Data Science in High-tech Industry Domains","authors":"Corrado Grappiolo, E. V. Gerwen, J. Verhoosel, L. Somers","doi":"10.1145/3295750.3298915","DOIUrl":"https://doi.org/10.1145/3295750.3298915","url":null,"abstract":"The booming popularity of data science is also affecting high-tech industries. However, since these usually have different core competencies --- building cyber-physical systems rather than e.g. machine learning or data mining algorithms --- delving into data science by domain experts such as system engineers or architects might be more cumbersome than expected. In order to help domain experts to delve into data science we designed the Semantic Snake Charmer (SSC), a domain knowledge-based search engine for Jupyter Notebooks. SSC is composed of three modules: (1) a human-machine cooperative module to identify internal documentation which contains the most relevant domain knowledge, (2) a natural language processing module capable of transforming relevant documentation into several semantic graph types, (3) a reinforcement-learning based search engine which learns, given user feedback, the best mapping between input queries and semantic graph type to rely on. We believe SSC can be a fundamental asset to allow the easy landing of data science in industrial domains.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"23 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":"128283350","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: 7

Stimulating Photo Curation on Smartphones 智能手机上刺激的照片管理

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298947

Xenia Zürn, Mendel Broekhuijsen, Doménique van Gennip, Saskia Bakker, Annemarie F. Zijlema, E. V. D. Hoven

引用次数: 6

Learning About Work Tasks to Inform Intelligent Assistant Design 学习工作任务，告知智能助手设计

Proceedings of the 2019 Conference on Human Information Interaction and Retrieval Pub Date : 2019-03-08 DOI: 10.1145/3295750.3298934

Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Hassan Awadallah, P. Bailey, Paul N. Bennett, Ryen W. White, J. Liono, Yongli Ren, Flora D. Salim, M. Sanderson

{"title":"Learning About Work Tasks to Inform Intelligent Assistant Design","authors":"Johanne R. Trippas, Damiano Spina, Falk Scholer, Ahmed Hassan Awadallah, P. Bailey, Paul N. Bennett, Ryen W. White, J. Liono, Yongli Ren, Flora D. Salim, M. Sanderson","doi":"10.1145/3295750.3298934","DOIUrl":"https://doi.org/10.1145/3295750.3298934","url":null,"abstract":"Intelligent assistants can serve many purposes, including entertainment (e.g. playing music), home automation, and task management (e.g. timers, reminders). The role of these assistants is evolving to also support people engaged in work tasks, in workplaces and beyond. To design truly useful intelligent assistants for work, it is important to better understand the work tasks that people are performing. Based on a survey of 401 respondents' daily tasks and activities in a work setting, we present a classification of work-related tasks, and analyze their key characteristics, including the frequency of their self-reported tasks, the environment in which they undertake the tasks, and which, if any, electronic devices are used. We also investigate the cyber, physical, and social aspects of tasks. Finally, we reflect on how intelligent assistants could influence and help people in a work environment to complete their tasks, and synthesize our findings to provide insight on the future of intelligent assistants in support of amplifying personal productivity.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"30 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":"125506213","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: 23