The role of emotional aspects in the information retrieval from the web

Abstract

Purpose The purpose of this paper is to identify the role of emotional aspects in information retrieval of PhD students from the web. Design/methodology/approach From the methodological perspective, the present study is experimental and the type of study is practical. The study population is PhD students of various fields of science. The study sample consists of 50 students as selected by the stratified purposive sampling method. The information aggregation is performed by observing the records of user’s facial expressions, log file by Morae software, as well as pre-search and post-search questionnaire. The data analysis is performed by canonical correlation analysis. Findings The findings showed that there was a significant relationship between emotional expressions and searchers’ individual characteristics. Searchers satisfaction of results, frequency internet search, experience of search, interest in the search task and familiarity with similar searches were correlated with the increased happy emotion. The examination of user’s emotions during searching performance showed that users with happiness emotion dedicated much time in searching and viewing of search solutions. More internet addresses with more queries were used by happy participants; on the other hand, users with anger and disgust emotions had the lowest attempt in search performance to complete search process. Practical implications The results imply that the information retrieval systems in the web should identify emotional expressions in a set of perceiving signs in human interaction with computer, similarity, face emotional states, searching and information retrieval from the web. Originality/value The results explicit in the automatic identification of users’ emotional expressions can enter new dimensions into their moderator and information retrieval systems on the web and can pave the way of design of emotional information retrieval systems for the successful retrieval of users of the network.

Comparison of the change in interpretative stances of lifelog photos versus manually captured photos over time

“…There have been several studies that have tried to extract semantic meaning from a photo using visual content analysis, including factors such as who was in the photo or what the subject was doing (Gurrin et al , 2014). Our results countered this approach, finding that a meaningful photo would only be identified if the emotionally sensitive stimuli of the current self were captured by the past self (Le et al , 2016; Yari Zanganeh and Hariri, 2018). In this regard, the emotional forecasting application EmotiCal (Hollis et al , 2017) would offer a good approach for designing a LC application.…”

Investigating the impact of emotions on perceiving serendipitous information encountering

“…In addition, people who experience positive emotions prior to an upcoming encounter with information are more likely to perceive serendipity than those with negative emotions. This finding supports previous work emphasizing the influence of positive/negative emotions on the process of information perception (Caprio et al, 2019;Zanganeh & Hariri, 2018).…”

Affective Factors in Human Information Behavior: A Conceptual Analysis of Interdisciplinary Research on Information Behavior

“…Eight texts mentioned general affective factors (e.g. Behesti et al, 2014;Canning & Buchanan, 2019;Meyer & Fourie, 2017;Zanganeh & Hariri, 2018). However, the authors tried to be more specific when analyzing the results of the research (e.g.…”

“…Authors analyzed emotions as reactions, exploring their influence on processes related to conscious action (Lopatovska, 2014;Orlu et al, 2017;Park, 2015;Wang et al, 2017;Zanganeh & Hariri, 2018). Emotions resulting from cognitive processes, constituting an emotional reaction to various sources of information have been studied in various contexts.…”

“…It allowed the analysis of the appearance of primary emotions through facial muscle movements, and of the impact these basic emotions have on secondary affective changes, including mood (Lopatovska, 2014). Facial expressions were also explored in studies focused on information retrieval from the web to examine the relationality of satisfying effectiveness of the information process and positive emotions of users (Zanganeh & Hariri, 2018). Additionally, emotional mimic reactions while responding to information were explored (Mierzecka et al, 2019).…”