Files in this item

FilesDescriptionFormat

application/pdf

application/pdfContribution_386_final.pdf (488kB)
(no description provided)PDF

Description

Title:The effect of personality traits on file retrieval
Author(s):Bergman, Ofer; Israeli, Tamar; Whittaker, Steve; Yanai, Nimrod; Amichai-Hamburger, Yair
Subject(s):Personal information management
File retrieval
Personality traits
Abstract:File retrieval is important for Personal Information Management (PIM). If retrieval fails, people cannot re-use files that they created or other people shared with them. In this paper, we examined the effect of personality traits on retrieval success and efficiency in two studies. Study 1 (n = 60) examined the effect of the Big Five personality traits. Study 2 (n = 300) evaluated the effect of other personality traits that we hypothesized would improve retrieval: need for control, orderliness, memory, computer literacy, minimalism, stress resistance, sociability and empathy. None of the tests we conducted were significant, meaning that even if future effects are identified, they will most probably be weak. In contrast, significant effects on retrieval success and efficiency were previously found for factors such as: sharing method, file collection size, number of collaborators sharing the file, file versions, recency since last retrieval, folder depth and workload. Nevertheless, the null-results we report here are important because the failure to publish non-significant results can have a negative influence on re-search. Otherwise these effects may be repeatedly studied until significant results emerge and are published, possibly because of a type I error.
Issue Date:2020-03-23
Publisher:iSchools
Series/Report:iConference 2020 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/106542
Rights Information:Copyright 2020 Ofer Bergman, Tamar Israeli, Steve Whittaker, Nimrod Yanai, and Yair Amichai-Hamburger
Date Available in IDEALS:2020-03-17


This item appears in the following Collection(s)

Item Statistics