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Christos Katsanos | ckatsanos@ece.upatras.gr
Nikolaos Tselios | nitse@ece.upatras.gr
Nikolaos Avouris | avouris@ece.upatras.gr
Are Ten Participants Enough for Evaluating
Information Scent of Web Page Hyperlinks?
IFIP INTERACT | Uppsala, Sweden | 24-28 August, 2009
Purpose & Motivation
2
 A critical factor in web navigation is information scent
(Fu & Pirolli, 2007; Blackmon et al, 2005; Miller & Remington, 2004)
 user’s assessment of semantic relevance of navigation
options in a webpage
 Often, participants are called to evaluate scent by
providing ratings (Miller & Remington, 2004; Brumby & Howes,
2008)
 Remains unclear how many raters are required to
obtain representative estimates of information scent.
The Study: First Phase
3
Design & Procedures
 Web-based survey
 Rate semantic relevancy of all links to the provided
goal (1=poor relevance, 5=high relevance).
 101 participants
 8 navigation menus, 8 links each
4
6464 ratings
Analysis Methodology
 Reference case = Scent-ratings from 101 participants
 Select 10 random samples of different size N
 N = 2, 5, 10, 15, 20, 25, 30, 40 and 50
 [Samples-Ratings] VS [All 101 participants Ratings]
 Average Spearman Correlation
 How many raters are enough to represent the ratings
of the whole dataset? 5
Results
6
 10 raters
 84-90% total var.
Error Bars = (rMEAN ± rSD)2
 x2 raters
 still the same
 x3 raters
 +5% closer to whole
dataset
First-phase: Conclusion
 10 raters appear to be a cost-effective solution to
evaluate information scent without expense in
the quality of results
7
 But how close are scent-ratings of 10 participants
to observed navigation behavior?
The Study: Second Phase
8
Design & Procedures
 Eye-tracking user study
 Perform the same 8 navigation tasks
used in first-phase
 54 users (not involved in first-phase)
 Two measures of users’ behavior:
 clicks on each link
 fixations-adjusted-for-text-length on each link.
9
432
recordings
Analysis Methodology
 Reference case = Behavioral data from 54 users
 [Scent-ratings from samples of - 1st
phase] VS
[Measures of user’s navigation behavior - 2nd
phase]
 Average Spearman Correlation
 How many raters are enough to reach an acceptable
level of correlation with these two measures?
10
Results
11
 Clicks on each link
 r10-raters is 0.7% different from
r101-raters
 r101raters = 0.80, p<.01
 Fixations on each link
 r10-raters is 7.4% different
from r101-raters
 r101-raters = 0.40, ns
Error Bars = rMEAN ± rSD
Second-phase: Conclusion
 10 participants provide scent-ratings that are close to
 observed link-selection behavior (clicks)
 distribution of attention (fixations)
12
 However, scent-ratings should be used only as a
rough indicator of users’ distribution of attention
 rs = 0.40, ns
Summary & Questions
 Investigated the well-known debate of “how many
users” in the context of information scent evaluation
 Scent-ratings of 10 participants appeared to be
enough for a discount evaluation of information scent
13
More studies required in the context of highly specialized
domains and/or varied user group composition
Christos Katsanos | ckatsanos@ece.upatras.gr
EXTRA SLIDES
14
First-Phase: Question example
15
Second-Phase: How many
users are enough?
16
Clinks Count Observations Count

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Interact 2009 katsanos et al are 10 participants enough to evaluate scent

  • 1. Christos Katsanos | ckatsanos@ece.upatras.gr Nikolaos Tselios | nitse@ece.upatras.gr Nikolaos Avouris | avouris@ece.upatras.gr Are Ten Participants Enough for Evaluating Information Scent of Web Page Hyperlinks? IFIP INTERACT | Uppsala, Sweden | 24-28 August, 2009
  • 2. Purpose & Motivation 2  A critical factor in web navigation is information scent (Fu & Pirolli, 2007; Blackmon et al, 2005; Miller & Remington, 2004)  user’s assessment of semantic relevance of navigation options in a webpage  Often, participants are called to evaluate scent by providing ratings (Miller & Remington, 2004; Brumby & Howes, 2008)  Remains unclear how many raters are required to obtain representative estimates of information scent.
  • 4. Design & Procedures  Web-based survey  Rate semantic relevancy of all links to the provided goal (1=poor relevance, 5=high relevance).  101 participants  8 navigation menus, 8 links each 4 6464 ratings
  • 5. Analysis Methodology  Reference case = Scent-ratings from 101 participants  Select 10 random samples of different size N  N = 2, 5, 10, 15, 20, 25, 30, 40 and 50  [Samples-Ratings] VS [All 101 participants Ratings]  Average Spearman Correlation  How many raters are enough to represent the ratings of the whole dataset? 5
  • 6. Results 6  10 raters  84-90% total var. Error Bars = (rMEAN ± rSD)2  x2 raters  still the same  x3 raters  +5% closer to whole dataset
  • 7. First-phase: Conclusion  10 raters appear to be a cost-effective solution to evaluate information scent without expense in the quality of results 7  But how close are scent-ratings of 10 participants to observed navigation behavior?
  • 9. Design & Procedures  Eye-tracking user study  Perform the same 8 navigation tasks used in first-phase  54 users (not involved in first-phase)  Two measures of users’ behavior:  clicks on each link  fixations-adjusted-for-text-length on each link. 9 432 recordings
  • 10. Analysis Methodology  Reference case = Behavioral data from 54 users  [Scent-ratings from samples of - 1st phase] VS [Measures of user’s navigation behavior - 2nd phase]  Average Spearman Correlation  How many raters are enough to reach an acceptable level of correlation with these two measures? 10
  • 11. Results 11  Clicks on each link  r10-raters is 0.7% different from r101-raters  r101raters = 0.80, p<.01  Fixations on each link  r10-raters is 7.4% different from r101-raters  r101-raters = 0.40, ns Error Bars = rMEAN ± rSD
  • 12. Second-phase: Conclusion  10 participants provide scent-ratings that are close to  observed link-selection behavior (clicks)  distribution of attention (fixations) 12  However, scent-ratings should be used only as a rough indicator of users’ distribution of attention  rs = 0.40, ns
  • 13. Summary & Questions  Investigated the well-known debate of “how many users” in the context of information scent evaluation  Scent-ratings of 10 participants appeared to be enough for a discount evaluation of information scent 13 More studies required in the context of highly specialized domains and/or varied user group composition Christos Katsanos | ckatsanos@ece.upatras.gr
  • 16. Second-Phase: How many users are enough? 16 Clinks Count Observations Count

Editor's Notes

  1. Hi my name is Christos Katsanos, member of the HCI Group of University of Patras in Greece. I am very glad to be here to present you our work with the title “AutoCardSorter: Designing the Information Architecture of a Web Site Using Latent Semantic Analysis”
  2. The purpose of our work is to automate structural design of information spaces and therefore increase the efficiency &amp; flexibility for practitioners
  3. Summarizing we have proposed an approach that automates structural design of an information space. The validation study presented here depicted substantial effectiveness gain, with similar to a widely used user-based technique We argue that our approach is cheap, fast and easy and therefore has a greater possibility for wider adoption As a last note, ideally, the proposed approach should be complementary and by no means a substitute to user based techniques.