2015
DOI: 10.1080/0361526x.2015.1040194
|View full text |Cite
|
Sign up to set email alerts
|

Discovering User Behavior: Applying Usage Statistics to Shape Frontline Services

Abstract: This investigation sought to develop a broad view of discovery service user behavior by analyzing vendor-provided and Google Analytics usage data from discovery service implementations at two Indiana University campuses. The results of this analysis demonstrate how usage data can communicate both intermediary and end results of user interactions within discovery services. The findings reveal user behavior trends, which may be used to develop strategies to improve information literacy instruction techniques, as… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
12
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 10 publications
(12 citation statements)
references
References 23 publications
0
12
0
Order By: Relevance
“…Most patrons (93%) use EDS from their desktop computers, 4.14% are mobile users, and less than 1% use tablets. The data resembles the Cohen and Thorpe study [39] on EDS usage statistics in two Indiana University campuses. They found that 98% of the discovery tool visitors were desktop users (PC and laptops).…”
Section: Devicesmentioning
confidence: 99%
See 1 more Smart Citation
“…Most patrons (93%) use EDS from their desktop computers, 4.14% are mobile users, and less than 1% use tablets. The data resembles the Cohen and Thorpe study [39] on EDS usage statistics in two Indiana University campuses. They found that 98% of the discovery tool visitors were desktop users (PC and laptops).…”
Section: Devicesmentioning
confidence: 99%
“…Navigation to this option suggests a deeper level of understanding and a more sophisticated research processes [42]. In their work Discovering User Behavior, Cohen and Thorpe [39] suggest to characterize discovery service users as either light users or heavy users. The heavy users should be taught advanced searching techniques for their information needs.…”
Section: Users' Information Behaviormentioning
confidence: 99%
“…Vendor supplied usage reports can be analyzed in the context of usability testing and supplemented by outside data such as proxy server logs or Google Analytics for more objective insight. 2 Additional qualitative feedback should be gathered as well through annual surveys and user testing. Staff can also explore less conventional data sources such as local e-resource error reports and reference chat logs.…”
Section: Understanding Users and Their Search Behaviormentioning
confidence: 99%
“…However, abundant research exists on other aspects of discovery tools. Until now most research on discovery tools focused on usability (Jill, 2018;Power, 2018;Meirose & Lian, 2019;Rigda et al, 2018;Warren, 2017;Woods et al, 2016), user behavior (Cohen & Thorpe, 2015;Dempsey & Valenti, 2016), use pattern changes (Calvert, 2015;Fitzpatrick, 2010;Teolis et al, 2019), and the impact of discovery services on reference and library instruction (Copenhaver & Kochanes, 2016;Walker & Sims, 2012). There seems to be a gap on how discovery services display and promote content of libraries' local collections.…”
Section: Literature Reviewmentioning
confidence: 99%