Volume 2, Issue 4 (3-2016)                   Human Information Interaction 2016, 2(4): 9-20 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Behzadi H, Sanathoo A, Salehi farardi J, Fattahi R. Studying Users’ Emotions Attribution Style in Information Retrieval Based on Weiner’s Emotion Attribution Theory. Human Information Interaction 2016; 2 (4)
URL: http://hii.khu.ac.ir/article-1-2440-en.html
Ferdowsi University Of Mashhad
Abstract:   (4940 Views)

Background and Aim: This research aimed to study emotions attribution style of users in information retrieval based on Weiner's theory.

Methods: The survey method was used in this study. Population consisted of graduate students in humanities at Imam Reza (AS) International University. Sample of 72 students was selected.  Data was collected by attribution style questionnaire (ASQ) and two researcher made questionnaires.

Results: Research findings showed that users attributed success and failure in information retrieval to internal causes. Also, consistent with Wiener theory, users attribute success to attempts and failure to inability and insufficient effort. On the other hand, it was found that there is significant relationship between users overall attribution style and information retrieval attribution style.

Conclusion: It can be determined that style of user attribution in information retrieval would strengthen correct attributions and destroys incorrect attributions in information retrieval and thereby provided better information retrieval.

Full-Text [PDF 455 kb]   (1890 Downloads)    
Type of Study: Research | Subject: Special

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Human Information Interaction

Designed & Developed by : Yektaweb