TY - GEN
T1 - Effects of SERP Information on Academic Search Behaviours
AU - Jiang, Shanshan
AU - Liamruk, Pawitra
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/21
Y1 - 2020/10/21
N2 - Search engine result pages (SERPs) usually display different information contents for web search users. In this paper, the effects of different information categories displayed on SERPs, including snippet, published date, and citation count, were investigated in the academic search context. In addition, the academic search behaviours and the satisfactions of 48 undergraduate students were explored. The results showed that participants were more satisfied with the SERPs displaying the snippet information than those displaying published date, and citation count information regardless of their familiarity with the search tasks' topics. Moreover, the participants were more satisfied with their final submitted options when they selected the submission from SERPs displaying the snippet information. The findings from this research could be used as the implication for SERPs interface design to provide valuable information for users without overwhelming them with excessive information categories.
AB - Search engine result pages (SERPs) usually display different information contents for web search users. In this paper, the effects of different information categories displayed on SERPs, including snippet, published date, and citation count, were investigated in the academic search context. In addition, the academic search behaviours and the satisfactions of 48 undergraduate students were explored. The results showed that participants were more satisfied with the SERPs displaying the snippet information than those displaying published date, and citation count information regardless of their familiarity with the search tasks' topics. Moreover, the participants were more satisfied with their final submitted options when they selected the submission from SERPs displaying the snippet information. The findings from this research could be used as the implication for SERPs interface design to provide valuable information for users without overwhelming them with excessive information categories.
KW - Behaviour Analysis
KW - Human Factor
KW - Human-Computer Interaction
KW - SERP
KW - Web Search
UR - https://www.scopus.com/pages/publications/85100184179
U2 - 10.1109/InCIT50588.2020.9310951
DO - 10.1109/InCIT50588.2020.9310951
M3 - Conference contribution
AN - SCOPUS:85100184179
T3 - InCIT 2020 - 5th International Conference on Information Technology
SP - 33
EP - 38
BT - InCIT 2020 - 5th International Conference on Information Technology
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Information Technology, InCIT 2020
Y2 - 21 October 2020 through 22 October 2020
ER -