Algorithmic mediation for collaborative exploratory search

Pickens, Jeremy; Golovchinsky, Gene; Shah, Chirag; Qvarfordt, Pernilla; Back, Maribeth

doi:10.1145/1390334.1390389

Cited by 136 publications

(187 citation statements)

References 12 publications

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“…Potentially, one of the biggest application areas of content-based exploration might be personalized searching framework (e.g., [38], [39]). Whereas today's search engines provide largely anonymous information, new framework might highlight or recommend web pages or content related to key concepts.…”

Section: The Semantic Webmentioning

confidence: 99%

Automatic Concept Extraction in Semantic Summarization Process

Carbonaro¹

2012

Advances in Knowledge Representation

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Section: The Semantic Webmentioning

confidence: 99%

Automatic Concept Extraction in Semantic Summarization Process

Carbonaro¹

2012

Advances in Knowledge Representation

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“…The CIS eld covers a large range of search processes (searching, retrieving, browsing, sensemaking, etc. ), which could be analyzed according to the behavioral point of view [35] or enhanced through algorithmic CIR approaches [89]. Both CIR and CIS take place in a group-based framework in which users collaborate to solve a shared goal.…”

Section: Introductionmentioning

confidence: 99%

On the Collaboration Support in Information Retrieval

Soulier

Tamine

2017

ACM Comput. Surv.

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Collaborative Information Retrieval (CIR) is a well-known setting in which explicit collaboration occurs among a group of users working together to solve a shared information need. This type of collaboration has been deemed as bene cial for complex or exploratory search tasks. With the multiplicity of factors impacting on the search e ectiveness (e.g., collaborators' interactions or the individual perception of the shared information need), CIR gives rise to several challenges in terms of collaboration support through algorithmic approaches. More particularly, CIR should allow us to satisfy the shared information need by optimizing the collaboration within the search session over all collaborators, while ensuring that both mutually bene cial goals are reached and that the cognitive cost of the collaboration does not impact the search e ectiveness. In this survey, we propose an overview of CIR with a particular focus on the collaboration support through algorithmic approaches. The objective of this article is (a) to organize previous empirical studies analyzing collaborative search with the goal to provide useful design implications for CIR models, (b) to give a picture of the CIR area by distinguishing two main categories of models using the collaboration mediation axis, and (c) to point out potential perspectives in the domain.

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“…Collaboration can vary on a number of dimensions, according to Golovchinsky et al (Pickens et al 2007) ) collaboration can vary based on intent (explicit vs. implicit), depth of mediation, concurrency (synchronous vs. asynchronous) and location (co-located vs. distributed). Intent is considered to be explicit if a group of people search for documents that meet a shared information need and is implicit if the system has to infer the information need of each person's task, the tasks commonality, and the degree of joint information need.…”

Section: Introductionmentioning

confidence: 99%

An asynchronous collaborative search system for online video search

Halvey

Vallet

Hannah

et al. 2010

Information Processing & Management

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This version is available at https://strathprints.strath.ac.uk/52294/ Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in further distribution of the material for any profitmaking activities or any commercial gain. You may freely distribute both the url (https://strathprints.strath.ac.uk/) and the content of this paper for research or private study, educational, or not-for-profit purposes without prior permission or charge.Any correspondence concerning this service should be sent to the AbstractThere are a number of multimedia tasks and environments that can be collaborative in nature and involve contributions from more than one individual. Examples of such tasks include organising photographs or videos from multiple people from a large event, students working together to complete a class project, or artists and/or animators working on a production. Despite this, current state of the art applications that have been created to assist in multimedia search and organisation focus on a single user searching alone and do not take into consideration the collaborative nature of a large number of multimedia tasks. The limited work in collaborative search for multimedia applications has concentrated mostly on synchronous, and quite often co-located, collaboration between persons. However, these collaborative scenarios are not always practical or feasible. In order to overcome these shortcomings we have created an innovative system for online video search, which provides mechanisms for groups of users to collaborate both asynchronously and remotely on video search tasks. In order to evaluate our system a user evaluation was conducted. This evaluation simulated multiple conditions and scenarios for collaboration, varying on awareness, division of labour, sense making and persistence. The outcome of this evaluation demonstrates the benefit and usability of our system for asynchronous and remote collaboration between users. In addition the results of this evaluation provide a comparison between implicit and explicit collaboration in the same search system.

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Algorithmic mediation for collaborative exploratory search

Cited by 136 publications

References 12 publications

Automatic Concept Extraction in Semantic Summarization Process

Automatic Concept Extraction in Semantic Summarization Process

On the Collaboration Support in Information Retrieval

An asynchronous collaborative search system for online video search

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