Expectation disconfirmation refers to the situation where a user's perceived performance of a system disconfirms her original expectation. Previous information systems studies have demonstrated that expectation disconfirmation can significantly affect a system user's behavior and experience. Inspired by this finding, we go beyond the traditional approach that focuses on the final post-search perception and study the expectation disconfirmation problem in Web search. Our study investigates task difficulty expectation disconfirmation and demonstrates that: (1) unexpectedly difficult task can significantly decrease a user's perceived level of search success and increase the perceived time pressure; (2) the size and direction of task difficulty expectation disconfirmation are significantly associated with Web search behavior; (3) it is possible to predict the state of expectation disconfirmation (especially the negative, unexpectedly difficult cases) based on search behavioral features. This study demonstrates the value of integrating expectation disconfirmation approach with interactive IR research and thus may encourage future researchers to further explore the effects of other aspects of users' expectations and post-search perceptions.
{"title":"Investigating the Impacts of Expectation Disconfirmation on Web Search","authors":"Jiqun Liu, C. Shah","doi":"10.1145/3295750.3298959","DOIUrl":"https://doi.org/10.1145/3295750.3298959","url":null,"abstract":"Expectation disconfirmation refers to the situation where a user's perceived performance of a system disconfirms her original expectation. Previous information systems studies have demonstrated that expectation disconfirmation can significantly affect a system user's behavior and experience. Inspired by this finding, we go beyond the traditional approach that focuses on the final post-search perception and study the expectation disconfirmation problem in Web search. Our study investigates task difficulty expectation disconfirmation and demonstrates that: (1) unexpectedly difficult task can significantly decrease a user's perceived level of search success and increase the perceived time pressure; (2) the size and direction of task difficulty expectation disconfirmation are significantly associated with Web search behavior; (3) it is possible to predict the state of expectation disconfirmation (especially the negative, unexpectedly difficult cases) based on search behavioral features. This study demonstrates the value of integrating expectation disconfirmation approach with interactive IR research and thus may encourage future researchers to further explore the effects of other aspects of users' expectations and post-search perceptions.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"20 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":"126847774","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}
The rise of heterogeneous information leads to questions of how people find, manage, and use information in increasingly fragmented ecologies. The extent to which interactive technologies can be re-designed to help people thrive in these environments should be explored. A two-phase study is proposed to investigate the effects of heterogeneous information on undergraduates' interactions with their information ecologies. Phase one will examine how students interact with the elements of their information ecologies. Phase two will explore how tools can be re-designed to help students more cohesively weave elements of their information ecologies together. An Activity Theoretical approach to these questions will be taken by examining the relationships between people, information, and tools.
{"title":"Interacting with Heterogeneous Information Ecologies: Challenges and Opportunities for Students in Diverse and Distributed Learning Environments","authors":"Samuel Dodson","doi":"10.1145/3295750.3298967","DOIUrl":"https://doi.org/10.1145/3295750.3298967","url":null,"abstract":"The rise of heterogeneous information leads to questions of how people find, manage, and use information in increasingly fragmented ecologies. The extent to which interactive technologies can be re-designed to help people thrive in these environments should be explored. A two-phase study is proposed to investigate the effects of heterogeneous information on undergraduates' interactions with their information ecologies. Phase one will examine how students interact with the elements of their information ecologies. Phase two will explore how tools can be re-designed to help students more cohesively weave elements of their information ecologies together. An Activity Theoretical approach to these questions will be taken by examining the relationships between people, information, and tools.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"51 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":"126007948","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}
All government documents that are released to the public must first be manually reviewed to identify and protect any sensitive information, e.g. confidential information. However, the unassisted manual sensitivity review of born-digital documents is not practical due to, for example, the volume of documents that are created. Previous work has shown that sensitivity classification can be effective for predicting if a document contains sensitive information. However, since all of the released documents must be manually reviewed, it is important to know if sensitivity classification can assist sensitivity reviewers in making their sensitivity judgements. Hence, in this paper, we conduct a digital sensitivity review user study, to investigate if the accuracy of sensitivity classification effects the number of documents that a reviewer correctly judges to be sensitive or not (reviewer accuracy) and the time that it takes to sensitivity review a document (reviewing speed). Our results show that providing reviewers with sensitivity classification predictions, from a classifier that achieves 0.7 Balanced Accuracy, results in a 38% increase in mean reviewer accuracy and an increase of 72% in mean reviewing speeds, compared to when reviewers are not provided with predictions. Overall, our findings demonstrate that sensitivity classification is a viable technology for assisting with the sensitivity review of born-digital government documents.
{"title":"How Sensitivity Classification Effectiveness Impacts Reviewers in Technology-Assisted Sensitivity Review","authors":"G. Mcdonald, C. Macdonald, I. Ounis","doi":"10.1145/3295750.3298962","DOIUrl":"https://doi.org/10.1145/3295750.3298962","url":null,"abstract":"All government documents that are released to the public must first be manually reviewed to identify and protect any sensitive information, e.g. confidential information. However, the unassisted manual sensitivity review of born-digital documents is not practical due to, for example, the volume of documents that are created. Previous work has shown that sensitivity classification can be effective for predicting if a document contains sensitive information. However, since all of the released documents must be manually reviewed, it is important to know if sensitivity classification can assist sensitivity reviewers in making their sensitivity judgements. Hence, in this paper, we conduct a digital sensitivity review user study, to investigate if the accuracy of sensitivity classification effects the number of documents that a reviewer correctly judges to be sensitive or not (reviewer accuracy) and the time that it takes to sensitivity review a document (reviewing speed). Our results show that providing reviewers with sensitivity classification predictions, from a classifier that achieves 0.7 Balanced Accuracy, results in a 38% increase in mean reviewer accuracy and an increase of 72% in mean reviewing speeds, compared to when reviewers are not provided with predictions. Overall, our findings demonstrate that sensitivity classification is a viable technology for assisting with the sensitivity review of born-digital government documents.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"274 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":"126011732","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}
Dagmar Kern, Daniel Hienert, Katrin Angerbauer, Tilman Dingler, Pia Borlund
Finding relevant documents is essential for researchers of all disciplines. We investigated an approach for supporting searchers in their relevance decision in a digital library by automatically highlighting the most important keywords in abstracts. We conducted an eye-tracking study with 25 subjects and observed very different search and reading behavior which lead to diverse results. Some of the participants liked that highlighted abstracts accelerate their relevance decision, while others found that they disturb the reading flow. What many agree on is that the quality of highlighting is crucial for trust and system credibility.
{"title":"Lessons Learned from Users Reading Highlighted Abstracts in a Digital Library","authors":"Dagmar Kern, Daniel Hienert, Katrin Angerbauer, Tilman Dingler, Pia Borlund","doi":"10.1145/3295750.3298950","DOIUrl":"https://doi.org/10.1145/3295750.3298950","url":null,"abstract":"Finding relevant documents is essential for researchers of all disciplines. We investigated an approach for supporting searchers in their relevance decision in a digital library by automatically highlighting the most important keywords in abstracts. We conducted an eye-tracking study with 25 subjects and observed very different search and reading behavior which lead to diverse results. Some of the participants liked that highlighted abstracts accelerate their relevance decision, while others found that they disturb the reading flow. What many agree on is that the quality of highlighting is crucial for trust and system credibility.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"163 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":"133939837","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}
We report on a study that evaluated the effects of working memory and task complexity on participants' perceptions, behaviors, and outcomes. Twenty-four participants performed two search tasks of varying complexity and completed a psychometric test to measure working memory ability. Our results found several important trends. First, task complexity had an effect on participants' perceptions about temporal demand and satisfaction with the time spent on the task. Second, participants with higher working memory exerted more search effort (e.g., issued more queries). Third, participants with higher working memory had better outcomes, particularly during more complex tasks. Finally, while participants with lower working memory exerted less effort (engaged in satisficing behaviors) and had weaker outcomes, working memory did not affect participants' post-task perceptions about workload and satisfaction. We discuss implications of our results for developing search tools to support users with varying levels of working memory.
{"title":"The Effects of Working Memory during Search Tasks of Varying Complexity","authors":"Bogeum Choi, Robert G. Capra, Jaime Arguello","doi":"10.1145/3295750.3298948","DOIUrl":"https://doi.org/10.1145/3295750.3298948","url":null,"abstract":"We report on a study that evaluated the effects of working memory and task complexity on participants' perceptions, behaviors, and outcomes. Twenty-four participants performed two search tasks of varying complexity and completed a psychometric test to measure working memory ability. Our results found several important trends. First, task complexity had an effect on participants' perceptions about temporal demand and satisfaction with the time spent on the task. Second, participants with higher working memory exerted more search effort (e.g., issued more queries). Third, participants with higher working memory had better outcomes, particularly during more complex tasks. Finally, while participants with lower working memory exerted less effort (engaged in satisficing behaviors) and had weaker outcomes, working memory did not affect participants' post-task perceptions about workload and satisfaction. We discuss implications of our results for developing search tools to support users with varying levels of working memory.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"1 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":"134445741","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}
According to the cognitive viewpoint of information retrieval (IR) research, a search task can be conceptualized as a sequence of information seeking intentions which both motivate and are influenced by search behaviors. While the behavioral effects of task features have been thoroughly discussed in a large body of literature, how different information seeking intentions in query segments serve as bridges between task and Web search behavior still remains unexplored. To develop a more comprehensive, multi-level (i.e., task level, intention level, and behavior level) understanding of Web search, the authors analyzed intention and search behavior data collected from 693 query segments generated by 40 participants in a controlled lab setting, seeking to answer two main research questions: 1) from task to intention : how do different task features affect users' information seeking intentions at different stages of a search session? 2) from intention to behavior : How is a user's search behavior associated with their information seeking intentions in the current and next query segments respectively? The results demonstrate that: 1) Task features significantly affected the frequency of occurrence of most of the information seeking intentions, and these effects gradually faded away as search sessions proceeded; 2) The presences of a variety of intentions in both current and subsequent query segments were connected with and detectable by different subsets of behavioral measures. This study contributes to the understanding of the connections between task, intentions in query segments, and search behavior, and thereby has implications for designing system affordances for supporting different intentions and search activities in various task stages and contexts.
{"title":"Task, Information Seeking Intentions, and User Behavior: Toward A Multi-level Understanding of Web Search","authors":"Jiqun Liu, M. Mitsui, N. Belkin, C. Shah","doi":"10.1145/3295750.3298922","DOIUrl":"https://doi.org/10.1145/3295750.3298922","url":null,"abstract":"According to the cognitive viewpoint of information retrieval (IR) research, a search task can be conceptualized as a sequence of information seeking intentions which both motivate and are influenced by search behaviors. While the behavioral effects of task features have been thoroughly discussed in a large body of literature, how different information seeking intentions in query segments serve as bridges between task and Web search behavior still remains unexplored. To develop a more comprehensive, multi-level (i.e., task level, intention level, and behavior level) understanding of Web search, the authors analyzed intention and search behavior data collected from 693 query segments generated by 40 participants in a controlled lab setting, seeking to answer two main research questions: 1) from task to intention : how do different task features affect users' information seeking intentions at different stages of a search session? 2) from intention to behavior : How is a user's search behavior associated with their information seeking intentions in the current and next query segments respectively? The results demonstrate that: 1) Task features significantly affected the frequency of occurrence of most of the information seeking intentions, and these effects gradually faded away as search sessions proceeded; 2) The presences of a variety of intentions in both current and subsequent query segments were connected with and detectable by different subsets of behavioral measures. This study contributes to the understanding of the connections between task, intentions in query segments, and search behavior, and thereby has implications for designing system affordances for supporting different intentions and search activities in various task stages and contexts.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"166 4 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":"116584133","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}
Steven Zimmerman, Alistair Thorpe, C. Fox, Udo Kruschwitz
From their impacts to potential threats, privacy and misinformation are a recurring top news story. Social media platforms (e.g. Facebook) and information retrieval (IR) systems (e.g. Google), are now in the public spotlight to address these issues. Our research investigates an approach, known as Nudging, applied to the domain of IR, as a potential means to minimize impacts and threats surrounding both matters. We perform our study in the space of health search for two reasons. First, encounters with misinformation in this space have potentially grave outcomes. Second, there are many potential threats to personal privacy as a result of the data collected during a search task. Adopting methods and a corpus from previous work as the foundation, our study asked users to determine the effectiveness of a treatment for 10 medical conditions. Users performed the tasks on 4 variants of a search engine results page (SERP) and a control, with 3 of the SERP's being a Nudge (re-ranking, filtering and a visual cue) intended to reduce impacts to privacy with minimal impact to search result quality. The aim of our work is to determine the Nudge that is least impactful to good decision making while simultaneously increasing privacy protection. We find privacy impacts are significantly reduced for the re-ranking and filtering strategies, with no significant impacts on quality of decision making.
{"title":"Privacy Nudging in Search: Investigating Potential Impacts","authors":"Steven Zimmerman, Alistair Thorpe, C. Fox, Udo Kruschwitz","doi":"10.1145/3295750.3298952","DOIUrl":"https://doi.org/10.1145/3295750.3298952","url":null,"abstract":"From their impacts to potential threats, privacy and misinformation are a recurring top news story. Social media platforms (e.g. Facebook) and information retrieval (IR) systems (e.g. Google), are now in the public spotlight to address these issues. Our research investigates an approach, known as Nudging, applied to the domain of IR, as a potential means to minimize impacts and threats surrounding both matters. We perform our study in the space of health search for two reasons. First, encounters with misinformation in this space have potentially grave outcomes. Second, there are many potential threats to personal privacy as a result of the data collected during a search task. Adopting methods and a corpus from previous work as the foundation, our study asked users to determine the effectiveness of a treatment for 10 medical conditions. Users performed the tasks on 4 variants of a search engine results page (SERP) and a control, with 3 of the SERP's being a Nudge (re-ranking, filtering and a visual cue) intended to reduce impacts to privacy with minimal impact to search result quality. The aim of our work is to determine the Nudge that is least impactful to good decision making while simultaneously increasing privacy protection. We find privacy impacts are significantly reduced for the re-ranking and filtering strategies, with no significant impacts on quality of decision making.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"1 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":"123141946","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}
Because of terminology mismatches, health consumers frequently face difficulties while searching the Web for health information. Difficulties arise in query formulation but also in understanding the retrieved documents. In this work we analyze how documents' readability affects users' comprehension and how both affect the retrieval performance, measured in different ways. In addition, we analyze how performance measures relate with each other. For this purpose we have conducted a laboratory user study with 40 participants. We found that readability is essential for a document to be at least partially relevant and that it becomes even more important if the document has medico-scientific terminology. Moreover, the relevance of a document to a specific user highly depends on its comprehension. In lay queries we found the medical accuracy of users' answers is related to the session's relevance assessments. This shows that users can, at least in part, relate their relevance assessments with the medical accuracy of the documents. On the other hand, this relationship does not exist with medico-scientific queries.
{"title":"Interplay of Documents' Readability, Comprehension and Consumer Health Search Performance Across Query Terminology","authors":"C. Lopes, Cristina Ribeiro","doi":"10.1145/3295750.3298927","DOIUrl":"https://doi.org/10.1145/3295750.3298927","url":null,"abstract":"Because of terminology mismatches, health consumers frequently face difficulties while searching the Web for health information. Difficulties arise in query formulation but also in understanding the retrieved documents. In this work we analyze how documents' readability affects users' comprehension and how both affect the retrieval performance, measured in different ways. In addition, we analyze how performance measures relate with each other. For this purpose we have conducted a laboratory user study with 40 participants. We found that readability is essential for a document to be at least partially relevant and that it becomes even more important if the document has medico-scientific terminology. Moreover, the relevance of a document to a specific user highly depends on its comprehension. In lay queries we found the medical accuracy of users' answers is related to the session's relevance assessments. This shows that users can, at least in part, relate their relevance assessments with the medical accuracy of the documents. On the other hand, this relationship does not exist with medico-scientific queries.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"173 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":"122009280","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}
Alcoholics Anonymous (AA) is the largest grassroots peer support group for any health condition. While AA meeting attendance is particularly important for people who are newly sober, newcomers often have trouble finding meetings because of a lack of global up-to-date meeting list due to preference for regional autonomy in AA's organizational structure. Detection of regional webpages containing meetings and extraction of day, time, and address of meetings from those pages are essential steps in making the information available and up-to-date in a global meeting list. However, varied structure of the webpages and the meetings pose challenges in achieving the goal with traditional information retrieval methods. In this paper we propose HAIR: a semi-automated human-aided information retrieval technique and explore its potential to solve this problem. We describe future directions in developing this critical tool and discuss major implications of our work in pointing to the importance of context-specific rather than context-agnostic semi-automated in-formation retrieval techniques by conceptualizing the proposed methods and results in a broader context.
{"title":"HAIR","authors":"Sabirat Rubya, Xizi Wang, S. Yarosh","doi":"10.1145/3295750.3298933","DOIUrl":"https://doi.org/10.1145/3295750.3298933","url":null,"abstract":"Alcoholics Anonymous (AA) is the largest grassroots peer support group for any health condition. While AA meeting attendance is particularly important for people who are newly sober, newcomers often have trouble finding meetings because of a lack of global up-to-date meeting list due to preference for regional autonomy in AA's organizational structure. Detection of regional webpages containing meetings and extraction of day, time, and address of meetings from those pages are essential steps in making the information available and up-to-date in a global meeting list. However, varied structure of the webpages and the meetings pose challenges in achieving the goal with traditional information retrieval methods. In this paper we propose HAIR: a semi-automated human-aided information retrieval technique and explore its potential to solve this problem. We describe future directions in developing this critical tool and discuss major implications of our work in pointing to the importance of context-specific rather than context-agnostic semi-automated in-formation retrieval techniques by conceptualizing the proposed methods and results in a broader context.","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":"116746353","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}
Information interactions are strongly affected by the place where they occur. Specific locations are often associated with searches on particular topics, and individual users perform different tasks in habituated places. A classic example of habituated space is the commuter who regularly reads the news on the train. This paper investigates these associations through four user studies that examine different uses of place in information interaction. Through this, we reveal the ways in which the location of information interactions makes them effective or ineffective. This extends our interpretation of the role of place in information interaction beyond established foci such as location-based search.
{"title":"Take Me Out: Space and Place in Library Interactions","authors":"G. Buchanan, Dana Mckay, S. Makri","doi":"10.1145/3295750.3298935","DOIUrl":"https://doi.org/10.1145/3295750.3298935","url":null,"abstract":"Information interactions are strongly affected by the place where they occur. Specific locations are often associated with searches on particular topics, and individual users perform different tasks in habituated places. A classic example of habituated space is the commuter who regularly reads the news on the train. This paper investigates these associations through four user studies that examine different uses of place in information interaction. Through this, we reveal the ways in which the location of information interactions makes them effective or ineffective. This extends our interpretation of the role of place in information interaction beyond established foci such as location-based search.","PeriodicalId":187771,"journal":{"name":"Proceedings of the 2019 Conference on Human Information Interaction and Retrieval","volume":"46 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":"117109893","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}
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