Studying Users’ Emotions Attribution Style in Information Retrieval Based on Weiner’s Emotion Attribution Theory

Authors

  • Behzadi, Hassan Ferdowsi University Of Mashhad
Abstract:

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.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Attribution Theory

Attribution theory (Weiner, 1980, 1992) is probably the most influential contemporary theory with implications for academic motivation. It incorporates behavior modification in the sense that it emphasizes the idea that learners are strongly motivated by the pleasant outcome of being able to feel good about themselves. It incorporates cognitive theory and self-efficacy theory in the sense that ...

full text

Style based Authorship Attribution on English Editorial Documents

The aim of the authorship attribution is identification of the author/s of unknown document(s). Every author has a unique style of writing pattern. The present paper identifies the unique style of an author(s) using lexical stylometric features. The lexical feature vectors of various authors are used in the supervised machine learning algorithms for predicting the unknown document. The highest ...

full text

Psychological distance in emotion attribution 1 RUNNING HEAD: Psychological distance in emotion attribution Happier than thou? A self-enhancement bias in emotion attribution

People tend to judge themselves as exhibiting above average levels of desirable traits— including competence, kindness, and life satisfaction—but does this self-enhancement extend to emotional responses? Here, we explore this question by having people attribute emotions to themselves and others following simple gambles. We demonstrate that people display an emotional self-enhancement bias that ...

full text

Application of Information Retrieval Techniques for Source Code Authorship Attribution

Authorship attribution assigns works of contentious authorship to their rightful owners solving cases of theft, plagiarism and authorship disputes in academia and industry. In this paper we investigate the application of information retrieval techniques to attribution of authorship of C source code. In particular, we explore novel methods for converting C code into documents suitable for retrie...

full text

Attribution style of patients with depression.

INTRODUCTION The role of attribution in psychopathology has been investigated most systematically within the depression context. The presumption which makes people depressive consists, to an excessive degree, of internal, stable and global attributions to negative occurrences. Negative attributions for unpleasant events are associated with the loss of self-respect which follows. OBJECTIVE Estab...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 2  issue 4

pages  9- 20

publication date 2016-03

By following a journal you will be notified via email when a new issue of this journal is published.

Keywords

No Keywords

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023