Title: Enduser Interaction with Thesauri An Evaluation of Cognitive Overlap in Search Term Selection
1End-user Interaction with ThesauriAn Evaluation
of Cognitive Overlap in Search Term Selection
University of Alberta Edmonton,
Canada University of Strathclyde Glasgow,
Scotland
2Outline
- Motivation
- Research Method
- Results
- Conclusions / Implications
3Motivation
- Increasing number of commercial search interfaces
have thesaurus-enhanced features - Previous research focused on professional
searchers ? End-user revolution - Little research on how end-users interact with
thesaurus-enhanced search interfaces - ?
- Study end-user interaction with thesauri for
search term selection and query expansion
4Research questions
- How well are users initial search terms matched
within the thesaurus? - In what ways were additional terms supplied by
the thesaurus useful? - What caused users to select certain additional
terms from the thesaurus? - What were users perceptions of overall closeness
of matched terms and their general level of
satisfaction with the thesaurus expansion?
5Research Method
- System CAB Abstracts / Thesaurus using OVID
interface on Web - Participants 30 veterinary workers
- Search tasks real needs
- Data gathering techniques
- Experimental procedure
6Research Method
- System CAB Abstracts / Thesaurus using OVID
interface on Web - Participants 30 veterinary workers
- Search tasks real needs
- Data gathering techniques
- Experimental procedure
7OVID - main search page
8OVID thesaurus interface (Hierarchical mapping)
9Research Method
- System CAB Abstract / Thesaurus using OVID
interface on Web - Participants 30 veterinary workers
- Search tasks real needs
- Data gathering techniques
- Experimental procedure
10Participants
Veterinary workers grouped by gender and status
11Research Method
- System CAB Abstract / Thesaurus using OVID
interface on Web - Participants 30 veterinary workers
- Search tasks real needs
- Data gathering techniques
- Experimental procedure
12Search tasks
- Two main approaches to search task
- Assigned search topics
- Search topics elicited from users
- Search tasks in this study
- topics were all based on genuine information
needs defined by users themselves -
13Topic types and users intention
14Research Method
- System CAB Abstract / Thesaurus using OVID
interface on Web - Participants 30 veterinary workers
- Search tasks real needs
- Data gathering techniques
- Experimental procedure
15Data gathering techniques
- Pre-search questionnaire user background and
search topics - Screen capturing software Lotus ScreenCam
- Post-search questionnaire search term and search
results satisfaction - Post-session interview
- thesaurus usability
- interface usability
16Research Method
- System CAB Abstract / Thesaurus using OVID
interface on Web - Participants 30 veterinary workers
- Search tasks real needs
- Data gathering techniques
- Experimental procedure
17Experimental procedure
- Brief description of the research objectives and
the stages of the experiment - Short written tutorial about the system
- Carry out a practice search
- Perform searches on each of three specified
topics fill out a post-search questionnaire - Post-session interview
18Key variables
- Search moves
- Terms (initial, browsed and selected)
- Subject knowledge and topic familiarity
- Prior topic search experience
- User search behaviour
- Users perceptions
19Results
- Term matching
- User perceptions on additional terms
- usefulness of terms
- awareness of new vocabulary
- reasons for selection
- Closeness of additional thesaurus terms and
overall level of satisfaction
20Results 1 - Term Matching
21Term Matching Illustrated
22Results 2 - Additional Terms
- These were found in 74 of the 90 searches
- Of the 74, users judged the additional terms to
have been useful in 88 of cases - In 37 of the searches users noted that terms of
which they were not previously aware had been
suggested (62 of these, PGs)
23Results 2 - (cont.)
- In the 73 of searches where users chose to
incorporate one or more additional terms they
were ask to classify why - narrowing down - 47
- broadening - 22
- term relatedness - 18
- others - 13
24Analysis of selection patterns
- Relationships between users initial query terms
and the terms they selected from the thesaurus
for query expansion were - Narrower terms (38)
- Related terms (36)
- Broader terms (13)
- Synonymous terms (13)
- Academic staff chose narrower and synonymous
terms more than did postgraduates who tended to
select related and broader terms.
25Results 3 - closeness / satisfaction
- When asked to rate the closeness of suggested
thesaurus terms to their original terms, 94
stated very or fairly close - Users selected around 15 of the terms they
browsed in the thesaurus - Only 45 gave an overall very satisfied rating,
with another 45 fairly satisfied and 10 not
satisfied - Those evaluating thesaurus terms as being useful
selected on average around two more search terms
than did those who did not find the terms useful
26Conclusions
- End-users are able to interact with and make use
of thesaurus-enhanced search interfaces - CAB provides a pretty comprehensive thesaurus
given our user profile - 82 found an exact or
partial match (c.f. Fidel91 who stated that a
good thesaurus will give 80 match) - Users have a reasonable understanding of the
types of expansion (cognitive and structural
models show some degree of concordance) - Users need a very close level of match to be
highly satisfied (aka, users are hard to
please!)
27Implications
- Showing hierarchical structures would appear to
be a useful mechanism for query expansion - Users with varying levels of domain knowledge
make use of thesauri in different ways - User characteristics and prior search behaviour
are elements that can be used within interface
design in both directions - design of personalised interaction
- use interactions to categorise new users
28Thank you
Ali Shiri Crawford Revie
29(No Transcript)
30Search moves
- Cognitive moves users perform some kind of
conceptual analysis of terms and/or documents - Physical moves those associated with the use of
system features
31Cognitive moves
Mean number of cognitive moves per search and
per user
32Physical moves
Mean number of physical moves per search and per
user
33Results
- Search moves - effect of subject knowledge
- Terms browsed and selected
- Effect of subject knowledge
- Effect of topic familiarity
- Usefulness of additional thesaurus terms - effect
of prior search experience
34Results 1 - Moves
- Subject knowledge, as measured by user status
(academic staff or PG student) had NO effect on
either number of cognitive or physical moves
executed
35Results 2 - Terms browsed and selected
- Academic staff browsed 11 more terms than did PG
students - ultimately no difference in the number
of terms selected - Those familiar with topic also browsed
significantly more terms - again no difference in
the number of terms selected - Process vs Outcome
36Topic familiarity prior topic search experience
37Topic familiarity
- Those who were very familiar with the topic
browsed significantly more thesaurus terms (18
terms more) - Those with no prior topic search experience found
more additional and useful thesaurus terms - One-way ANOVA indicated that there was no
significant difference in either the number of
physical (P0.07) or cognitive (P0.3) moves.
However topics identified as being moderately or
very familiar were associated with around five
more physical and two more cognitive moves than
those topics identified as unfamiliar
38Results 3 - Prior search experience
- Those with no prior search experience found more
additional terms - They also judged the terms to be more useful that
did those with prior topic search experience
39Usefulness of thesaurus terms
- Users selected around 15 of the terms they
browsed in the thesaurus - In 50 of the cases where users found additional
thesaurus term they had not been aware of those
terms at the beginning of the search - Users who evaluated the thesaurus terms as being
useful selected on average around two more search
terms than did those who did not find the terms
useful
40Conclusions
- End-users are able to interact with and make use
of thesaurus-enhanced search interfaces - Thesauri are capable of providing end-users with
additional, useful terms for query formulation
and expansion - Variables such as topic familiarity and topic
complexity have effects on search behaviour - Users with varying levels of domain knowledge
make use of thesauri in different ways
41Implications
- Topic familiarity and complexity are useful
elements to consider when studying end-users
search behaviour - These aspects and prior search behaviour are
elements that can be used within interface design
in both directions - design of personalised interaction
- use interactions to categorise new users