scent trails: integrating browsing and searching on the web christopher olson et al. blake adams...
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Scent Trails: Integrating Browsing and Searching on the
WebChristopher Olson et al.
Blake AdamsNovember 4, 2003
Information Location Methods
• Browsing– View pages one at a time,
navigation via hyperlinks
• Drawback– Inefficient, relies on
browsing cues
• Benefit– Useful where keywords are
nonexistent or unavailable
Information Location Methods
• Searching– Enter a search query into a
search engine, choose sites from ranked list of results.
• Drawback– Often returns inappropriate
results, loses important context.
• Benefit– Identifies pages containing
specific information quickly. – Searches are tailored to
users specific needs.
Information Location Methods
• ScentTrails– Automatically high light
hyperlinks to guide users toward search results while still allowing conventional browsing.
– Degree of highlighting based on ‘Information Scent.’
– Considers search and browsing cues together, user can make informed navigational decisions and locate content matching complex information goals.
Scent Trail Goals
• Based on information scent developed in the context of information foraging.– How users interleave
directed structured behavior (searching) with opportunistic and unstructured behavior (browsing).
• The goal on ScentTrails is to assist browsing by adding new supplemental cues tailored to the needs of individual users.
How it Works
• User inputs a list of search terms into an input box, these keywords represent the user’s partial information goal. As browsing/search continues, this box can be modified, and ScentTrails will update dynamically by highlighting existing links that best satisfy the information goal.
• ScentTrails also considers distance to relevant pages, discounting the value of more distant pages accordingly.
Technique
• Identify pages that match the user’s partial information goal.
• Determine distance to desirable results, weigh based on number of clicks necessary to reach goal.’
• Weigh fonts of links based on results.
Algorithm
Evaluation
• Based on a crawl of www.xerox.com• Used 12 Test Subjects who were assigned 8
searching tasks.• Search Options:
– Browsing– Searching– ScentTrails– ShortScent (result pages only crawl neighboring
pages)• Each Test Subject completed each task only
once - a set of 2 tasks with each method. These methods were rotated from user to user.
Tasks Performed
1. Find a copier with recyclable toner2. You have a business at home and you want a copier
with photo support.3. Find a copier with glossy print capability.4. Find a digital, black & white copier that supports
rotation.5. Find a copier with remote diagnostic technology that can
do at least 80 copies per minute.6. Find a 400 dpi copier with a counterfeit deterrent
system.7. Find a black & white machine that supports scan, fax,
print and copy with collation.8. Find a 5 to 20 cpm (copies per minute) copier with photo
support.
Results/Analysis
Average task completion time for each task/interface pair, with standard error.
Results/Analysis
Average task completion time for each of the interfaces combined across tasks, with standard error.
Results/Analysis
Results/Analysis
• Interviews– Interface Preference: 10 out of 12 preferred Scent
interfaces. Dissenting subjects declined to state a preference due to lack of experience
– Several Subjects remarked on how the Scent interface allowed them to narrow down some aspects of the task with keywords, while honing in on the other aspects of browsing.
– Highlighting: Highlighting method was praised for making searches more efficeient, but criticized ambiguity of textual sizing.
Highlighting options explored