Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval最新文献

A Generative Framework to Query Recommendation and Evaluation 基于生成框架的推荐与评价查询

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval Pub Date : 2017-03-07 DOI: 10.1145/3020165.3022172

M. Mitsui

引用次数: 2

I Can and So I Search More: Effects Of Memory Span On Search Behavior 我能，所以我搜索更多:记忆广度对搜索行为的影响

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval Pub Date : 2017-03-07 DOI: 10.1145/3020165.3022148

J. Gwizdka

引用次数: 14

Automatic Summarization of Domain-specific Forum Threads: Collecting Reference Data 特定领域论坛线程的自动汇总:收集参考数据

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval Pub Date : 2017-03-07 DOI: 10.1145/3020165.3022127

S. Verberne, Antal van den Bosch, S. Wubben, E. Krahmer

引用次数: 6

A Theoretical Framework for Conversational Search 会话搜索的理论框架

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval Pub Date : 2017-03-07 DOI: 10.1145/3020165.3020183

Filip Radlinski, Nick Craswell

引用次数: 317

Making Sense of Conflicting Science Information: Exploring Bias in the Search Engine Result Page 理解相互冲突的科学信息:探索搜索引擎结果页中的偏见

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval Pub Date : 2017-03-07 DOI: 10.1145/3020165.3020185

Alamir Novin, E. Meyers

{"title":"Making Sense of Conflicting Science Information: Exploring Bias in the Search Engine Result Page","authors":"Alamir Novin, E. Meyers","doi":"10.1145/3020165.3020185","DOIUrl":"https://doi.org/10.1145/3020165.3020185","url":null,"abstract":"Currently, there is widespread media coverage about the problems with 'fake news' that appears in social media, but the effects of biased information that appears in search engine results is also increasing. The authors argue that the search engine results page (SERP) exposes three important types of bias: source bias, algorithmic bias, and cognitive bias. To explore the relationship between these three types of bias, we conducted a mixed methods study with sixty participants (plus fourteen in a pilot to make a total of seventy-four participants). Within a library setting, participants were provided with mock search engine pages that presented order-controlled sources on a science controversy. Participants were then asked to rank the sources' usefulness and then summarize the controversy. We found that participants ranked the usefulness of sources depending on its presentation within a SERP. In turn, this also influenced how the participants summarized the topic. We attribute the differences in the participants' writings to the cognitive biases that affect a user's judgment when selecting sources on a SERP. We identify four main cognitive biases that a SERP can evoke in students: Priming, Anchoring, Framing, and the Availability Heuristic. While policing information quality is a quixotic task, changes can be made to both SERPs and a user's decision-making when selecting sources. As bias emerges both on the system side and the user side of search, we suggest a two-fold solution is required to address these challenges.","PeriodicalId":398762,"journal":{"name":"Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114187201","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: 41

Incorporating Task Analysis in the Design of a Tool for a Complex and Exploratory Search Task 将任务分析纳入复杂探索性搜索任务的工具设计

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval Pub Date : 2017-03-07 DOI: 10.1145/3020165.3022156

Tugba Kulahcioglu, Dmitriy Fradkin, Sridharan Palanivelu

引用次数: 4

Accidentally Successful Searching: Users' Perceptions of a Digital Library 意外成功搜索:用户对数字图书馆的感知

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval Pub Date : 2017-03-07 DOI: 10.1145/3020165.3022124

S. Kumpulainen, Heli Kautonen

引用次数: 3

Strangers in a Strange Land: A Study of Second Language Speakers Searching for e-Services 异乡生人:第二语言使用者搜索电子服务的研究

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval Pub Date : 2017-03-07 DOI: 10.1145/3020165.3022133

D. Brazier, Morgan Harvey

引用次数: 9

Towards Identifying User Intentions in Exploratory Search using Gaze and Pupil Tracking 利用注视和瞳孔跟踪来识别探索性搜索中的用户意图

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval Pub Date : 2017-03-07 DOI: 10.1145/3020165.3022131

Thomas Low, N. Bubalo, Tatiana Gossen, Michael Kotzyba, A. Brechmann, A. Huckauf, A. Nürnberger

{"title":"Towards Identifying User Intentions in Exploratory Search using Gaze and Pupil Tracking","authors":"Thomas Low, N. Bubalo, Tatiana Gossen, Michael Kotzyba, A. Brechmann, A. Huckauf, A. Nürnberger","doi":"10.1145/3020165.3022131","DOIUrl":"https://doi.org/10.1145/3020165.3022131","url":null,"abstract":"Exploration in large multimedia collections is challenging because the user often navigates into misleading directions or information areas. The vision of our project is to develop an assistive technology that is able to support the individual user and enhance the efficiency of an ongoing exploratory search. Such a technical search aid should be able to find out about the user's current interests and goals. Respective parameters can be found in the central and in the peripheral nervous system as well as in overt behavior. Therefore, we aim at using eye movements, pupillometry and EEG to assess respective information. Here, we describe the set-up and the first results of a preliminary user study investigating the effects of searching an image collection on eye movements and pupil dilations. First data show that numbers of fixation, fixation durations as well as pupil dilations differ systematically when looking at a subsequently selected target as compared with not selected items. These results support our vision that further research additionally investigating EEG can in fact result in better predicting the searchers goals and next choices.","PeriodicalId":398762,"journal":{"name":"Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115755394","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

Building Cost-Benefit Models of Information Interactions 建立信息交互的成本效益模型

Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval Pub Date : 2017-03-07 DOI: 10.1145/3020165.3022162

L. Azzopardi

{"title":"Building Cost-Benefit Models of Information Interactions","authors":"L. Azzopardi","doi":"10.1145/3020165.3022162","DOIUrl":"https://doi.org/10.1145/3020165.3022162","url":null,"abstract":"Modeling how people interact with search interfaces has been of particular interest and importance to the field of Interactive Information Retrieval. Recently, there has been a move to developing formal models of the interaction between the user and the system, whether it be to: (i) run a simulation, (ii) conduct an economic analysis, (iii) measure system performance, or (iv) simply to better understand user interactions and hypothesise about user behaviours. In such models, they consider the costs and the benefits that arise through the interaction with the interface/system and the information surfaced during the course of interaction. In this half day tutorial, we will focus on describing a series of cost-benefit models that have been proposed in the literature and how they have been applied in various scenarios. The tutorial will be structured into two parts. First, we will provide an overview of Decision Theory and Cost-Benefit Analysis techniques, and how they can and have be applied to a variety of Interactive Information Retrieval scenarios. For example, when do facets helps?, under what conditions are query suggestions useful? and is it better to bookmark or re-find? The second part of the tutorial will be dedicated to building cost-benefit models where we will discuss different techniques to build and develop such models. In the practical session, we will also discuss how costs and benefits can be estimated, and how the models can help inform and guide experimentation. During the tutorial participants will be challenged to build cost models for a number of problems (or even bring their own problems to solve).","PeriodicalId":398762,"journal":{"name":"Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116790480","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: 3