Studying the Effect of Delay on Group Performance in Collaborative Editing

Ignat, Claudia-Lavinia; Oster, Gérald; Newman, Meagan; Shalin, Valerie L.; Charoy, François

doi:10.1007/978-3-319-10831-5_29

Cited by 7 publications

(6 citation statements)

References 8 publications

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“…Delays measured in GoogleDocs when the number of users exceeds ten are largely superior to the artificial delays experienced in [6], [12]. We therefore expect that a high hindrance of delay will be experienced in Google Docs in scenarios of collaborative editing that involve a large number of users that concurrently modify a shared document.…”

Section: Effect On Usersmentioning

confidence: 99%

“…The effect of delay on users' behavior in collaborative editing has been studied in [6], [12]. Twenty groups of four students from a French university have been recruited to perform an experiment including several tasks in collaborative editing.…”

Section: Effect On Usersmentioning

confidence: 99%

“…The task where users were provided with a list of movies and asked to search for the release date of those movies and then sort them in an ascending order according to the release date was analysed in [12]. For the analysis of the collected data outcome metrics for measuring the quality of the realised task but also process metrics for analysing user behaviour during achievement of the tasks were introduced: a sorting accuracy based on the insertion sort algorithm, average time per entry, strategies (tightly coupled or loosely coupled task decomposition of the task), chat behavior and collisions between users.…”

Section: Effect On Usersmentioning

confidence: 99%

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Performance of real-time collaborative editors at large scale: User perspective

Dang

Ignat

2016

2016 IFIP Networking Conference (IFIP Networking) and Workshops

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International audienceReal-time collaborative editing allows multiple users to edit a shared document at the same time. It received a lot of attention from both industry and academia and gained in popularity due to the wide availability of free services such as Google Docs. While these collaborative editing systems were initially used in scenarios involving only a small set of users such as for writing a research article, nowadays we notice a change in the scale from several users to communities of users. Group note taking during lectures or conferences is an emerging practice. An important measure of performance of real-time collaborative editing systems is delay. Delays exist between the execution of one user modification and the visibility of this modification to the other users. They can be caused by network physical communication media, complexity of consistency maintenance algorithms and system architecture. Some user studies have shown that delay affects group performance in collaborative editing. In this paper, we measure delays in popular real-time collaborative editing systems such as Google Docs and Etherpad and we study whether these systems could cope with large scale settings from a user perspective. Our results show that these systems are not yet ready for large-scale collaborative activities as either they reject new users connection or a high delay appears when facing an increasing number of users or their typing speeds in the same shared document

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Section: Effect On Usersmentioning

confidence: 99%

Section: Effect On Usersmentioning

confidence: 99%

Section: Effect On Usersmentioning

confidence: 99%

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Performance of real-time collaborative editors at large scale: User perspective

Dang

Ignat

2016

2016 IFIP Networking Conference (IFIP Networking) and Workshops

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“…The second task was analysed by Ignat et al (2014). The task that we present in this paper is the third task, on note taking.…”

Section: Methodsmentioning

confidence: 99%

How Do User Groups Cope with Delay in Real-Time Collaborative Note Taking

Ignat

Oster

Fox

et al. 2015

ECSCW 2015: Proceedings of the 14th European Conference on Computer Supported Cooperative Work, 19-23 September 2015, Oslo, Nor

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Abstract.A property of general interest of real-time collaborative editors is delay. Delays exist between the execution of one user's modification and the visibility of this modification to the other users. Such delays are in part fundamental to the network, as well as arising from the consistency maintenance algorithms and underlying architecture of collaborative editors. Existing quantitative research on collaborative document editing does not examine either concern for delay or the efficacy of compensatory strategies. We studied an artificial note taking task in French where we introduced simulated delay. We found out a general effect of delay on performance related to the ability to manage redundancy and errors across the document. We interpret this finding as a compromised ability to maintain awareness of team member activity, and a reversion to independent work. Measures of common ground in accompanying chat indicate that groups with less experienced team members attempt to compensate for the effect of delay. In contrast, more experienced groups do not adjust their communication in response to delay, and their performance remains sensitive to the delay manipulation.

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“…They found that collaboration editing has grown rapidly up to 53% during the period they examined and 'concurrent editing is sticky' with 76% of the employees who participated in a 'concurrent session' repeating the activity in the following month. In [10,9] authors studied the effect of delay on the error rate, redundancy and quality of collaboratively produced documents by analyzing logs of real-time collaborative editing tasks using Etherpad. Olson et al [14] examined the traces of collaborative writing behavior of advanced undergraduates in a project course using Google Docs.…”

Section: Introductionmentioning

confidence: 99%

Time-position characterization of conflicts: a case study of collaborative editing

Nguyen,

Ignat

2020

Preprint

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Collaborative editing (CE) became increasingly common, often compulsory in academia and industry where people work in teams and are distributed across space and time. We aim to study collaborative editing behavior in terms of collaboration patterns users adopt and in terms of a characterisation of conflicts, i.e. edits from different users that occur close in time and position in the document. The process of a CE can be split into several editing 'sessions' which are performed by a single author ('single-authored session' ) or several authors ('co-authored session' ). This fragmentation process requires a pre-defined 'maximum time gap' between sessions which is not yet well defined in previous studies. In this study, we analysed CE logs of 108 collaboratively edited documents. We show how to establish a suitable 'maximum time gap' to split CE activities into sessions by evaluating the distribution of the time distance between two adjacent sessions. We studied editing activities inside each 'co-author session' in order to define potential conflicts in terms of time and position dimensions before they occur in the document. We also analysed how many of these potential conflicts become real conflicts. Findings show that potential conflicting cases are few. However, they are more likely to become real conflicts.

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Studying the Effect of Delay on Group Performance in Collaborative Editing

Cited by 7 publications

References 8 publications

Performance of real-time collaborative editors at large scale: User perspective

Performance of real-time collaborative editors at large scale: User perspective

How Do User Groups Cope with Delay in Real-Time Collaborative Note Taking

Time-position characterization of conflicts: a case study of collaborative editing

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