Paper Info
Title
Comparing Interface Influence On Users With Varying Expertise
Abstract
The design of a system interface can impact user judgements among expert and novice users alike. With information systems, fundamental design choices can either augment or distract individuals in identifying patterns of converging data points. The goal of this effort was to compare the influence of Likert and categorical type rating scales in a system used to guide analysts through a content analysis process. While these scales have been examined in the context of psychological assessment literature, little has been said about their impact on decision makers from a human computer interaction perspective. We conducted a laboratory experiment to explore the effect of using Likert and categorical scales in an intelligence assessment task using unstructured data. The dependent variables included (1) Likert versus categorical type scales and (2) analyst experience (novice versus expert). Results indicated that expert and novices both had greater confidence and more creative, accurate responses in the interface utilizing Likert decision scaling.
Year
DOI
Venue
2018
10.1007/978-3-319-91716-0_21
HCI IN BUSINESS, GOVERNMENT, AND ORGANIZATIONS
Keywords
Field
DocType
Interface design, Likert and categorical scaling, Novice and expert decision makers
Information system,Content analysis,Categorical variable,Computer science,Rating scale,Unstructured data,Intelligence assessment,Psychological testing,Likert scale,Applied psychology
Conference
Volume
ISSN
Citations 
10923
0302-9743
0
PageRank 
References 
Authors
0.34
2
3
Name
Order
Citations
PageRank
Joel S. Elson101.01
Gina Scott Ligon252.44
Douglas C. Derrick310511.91