Exploring Online and Offline Search Behavior Based on the Varying Task Complexity

Rath, Manasa; Ghosh, Souvick; Shah, Chirag

doi:10.1145/3176349.3176890

Cited by 8 publications

(14 citation statements)

References 21 publications

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“…While the details of experimental methodology and data collection can be found in our previous work ([8], [17]), we provide a brief overview in the following sections.…”

Section: Experimental Methodologymentioning

confidence: 99%

“…Several research works ( [15], [4], [12], [10], [9], [17]) focused on understanding search behavior in different task types and argued that different facets of a search task -task type, the task product, task complexity and task level (document vs segment) -strongly influence the search behavior of the information seeker. Borlund (2003) [3] explored how simulated work task situations can be used for evaluation of IIR models.…”

Section: Background and Related Workmentioning

confidence: 99%

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Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks

Ghosh

Shah

2019

Proceedings of the 28th ACM International Conference on Information and Knowledge Management

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In this research, we investigate the behavioral patterns exhibited in different search sessions as users attempt to complete search tasks of increasing cognitive complexity. The search tasks, which are exploratory in nature, have been designed using the Taxonomy of Educational Objectives, and are presented to the users hierarchically. We capture naturalistic search behavior of the users in real world (non-lab) setting using a Chrome browser plugin. The research analyzes the web log data of the users to assess if and how the web search behavior of the users changes over different search sessions. We also look at the different demographic factors like age and gender, educational factors like the academic background, read and write proficiency in English, and search skills to determine if these factors influence the web search behavior of the users. Our results indicate that search sessions have significant effects on the web search behavior of the users. Most of the web search behaviors differed significantly across search sessions. Of the secondary factors, gender showed significant effect on the query reformulations (measured using average edit distance between queries) and query length (measured using number of words per query) while year of study affected only the average query length. Search experience had significant effect on all the web search behaviors.

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“…While the details of experimental methodology and data collection can be found in our previous work ([8], [17]), we provide a brief overview in the following sections.…”

Section: Experimental Methodologymentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks

Ghosh

Shah

2019

Proceedings of the 28th ACM International Conference on Information and Knowledge Management

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“…These measures rely on the assumption that an individual can make a reliable and valid assessment of the amount of load experienced within a specific context [51]. The review of ISR studies highlighted that self-designed questionnaires were used in three studies [16,44,48] measuring effort, and two other studies to measure mental workload [56] and cost [43]. While self-designed questionnaires were popular for the measure of effort, the NASA Task Load Index (NASA-TLX) was also identified as a dominant scale (N=8) in the measure of effort [22,54] and load [2,6,14,30,46,62].…”

Section: Rq3: Cel Measurement In Isrmentioning

confidence: 99%

“…Search interaction data was used in the measurement of all three CEL concepts with often the same metrics used to measure different concepts. For example, "number of queries issued", "number of documents opened", and "number of pages viewed" have been implicated as both a measure of cost [33,43] and effort [8,21,27]. Likewise, "time-on-task" was used as a metric for all CEL concepts: cost [43,62]; effort [8,48,54]; and load [13,46], implying that time-on-task is an adequate indicator of all three concepts.…”

Section: Main Issues 51 Ambiguity Between Concepts and Measuresmentioning

confidence: 99%

“…For example, "number of queries issued", "number of documents opened", and "number of pages viewed" have been implicated as both a measure of cost [33,43] and effort [8,21,27]. Likewise, "time-on-task" was used as a metric for all CEL concepts: cost [43,62]; effort [8,48,54]; and load [13,46], implying that time-on-task is an adequate indicator of all three concepts. Similar commonalities were observed in eye tracking methods where "number of fixations" were used as metric for both effort [18] and cost [62], and "duration of fixations" as a metric for both effort [18,21] and load [55].…”

Section: Main Issues 51 Ambiguity Between Concepts and Measuresmentioning

confidence: 99%

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Untangling Cost, Effort, and Load in Information Seeking and Retrieval

McGregor

Azzopardi

Halvey

2021

Proceedings of the 2021 Conference on Human Information Interaction and Retrieval

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When performing Information Seeking and Retrieval (ISR) activities, people submit queries, examine results, assess documents and engage with the information to make decisions and complete tasks. All these activities come at a "cost", but within the field of ISR there is no universally accepted definition of the concepts of Cost, Effort and Load (CEL). Instead, researchers have used the same terms interchangeably to describe similar but also different concepts. This lack of shared understanding has led to a disconnect between how these concepts are defined and discussed versus how they are interpreted and measured. Thus, the aim of this paper is twofold: (i) to review the meaning of CEL related concepts used within ISR, and (ii) to create a shared taxonomy of the concepts relating to CEL in ISR. To seed our analysis, we conducted a literature review, where 397 papers were reviewed, and twenty-six papers that explicitly proposed measures or definitions of CEL were selected for analysis. By drawing upon theory from Psychology and other fields, we present the common definitions of CEL in order to ground our discussion of these concepts in ISR. We also highlight the issues associated with CEL measurement in ISR to help researchers reflect on the validity and precision of existing methods. We hope this perspectives paper serves as a basis for a taxonomy of how CEL concepts are used within ISR-where we have provided a series of working definitions that clearly delineate the different concepts being used, investigated and measured in ISR research.

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Search Systems and Artificial Intelligence: Enhancing Searching as Learning Approaches to Counter Misinformation

Ghosh,

Gwizdka,

Lewandowski

et al. 2023

Proceedings of the Association for Information Science and Tech

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Searching as a learning process implies that learning occurs during a search process and might happens incidentally, influenced by the context the search takes place and the system that is used. Searching and learning are not isolated but co‐occurring events. Research investigates how search systems can be improved to foster learning processes, integrate information literacy enhancing methods and support user's sense‐making of information. Regarding the advancement of AI algorithms and their implementation in search systems, the concept of searching as a learning process can help to better understand human‐computer interactions and future information‐seeking processes. The panel advances current research on search systems for learning in non‐formal settings, with a focus on investigating the relation between searching and learning processes that influence people's understanding, assessing and use of information. It will focus on the contributions of information science research and the expectations of future searching behavior with respect to emerging advances in AI.

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Exploring Online and Offline Search Behavior Based on the Varying Task Complexity

Cited by 8 publications

References 21 publications

Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks

Session-based Search Behavior in Naturalistic Settings for Learning-related Tasks

Untangling Cost, Effort, and Load in Information Seeking and Retrieval

Search Systems and Artificial Intelligence: Enhancing Searching as Learning Approaches to Counter Misinformation

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