Effects of relevance criteria and subjective factors on web image searching behaviour

Author:

Hamid Rahayu A1,Thom James A2,Iskandar DNF Awang3

Affiliation:

1. Faculty of Computer Science & Information Technology, Universiti Tun Hussein Onn Malaysia, Malaysia

2. School of Science, RMIT University, Australia

3. Faculty of Computer Science & Information Technology, Universiti Malaysia Sarawak, Malaysia

Abstract

Searching for images is an everyday activity. Nevertheless, even a highly skilled searcher often struggles to find what they are looking for. This article studies the factors that affect users’ online web image search behaviour, investigating (1) the use of criteria in making image relevance judgements and (2) the effect of familiarity, difficulty and satisfaction. The study includes 48 users who performed four online image search tasks using Google Images. Simulated work scenarios, questionnaires and screen capture recordings were used to collect data of their image search behaviour. The results show in judging image relevance, users may apply similar criterion, however, the importance of these criteria depends on the type of image search. Similarly, ratings of users’ perception on subjective aspects of performing image search shows they were task dependent. Users’ perception on subjective aspects of performing image search did not always correspond with their actual search behaviour. Correlation analysis shows that subjective factors cannot be definitively measured by using only one component of search behaviour. Future work includes further analysis on the effects of topic familiarity and satisfaction.

Publisher

SAGE Publications

Subject

Library and Information Sciences,Information Systems

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hybrid Research on Relevance Judgment and Eye Movement for Reverse Image Search;Diversity, Divergence, Dialogue;2021

2. Scientific Data Relevance Criteria Classification and Usage;Proceedings of the 2nd International Conference on Computer Science and Application Engineering - CSAE '18;2018

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