Traditional versus Social Search Engines:

Will they Rescue us from Drowning in the
        Ocean of Web Resources?

     ...
Information Overflow
Problem:
Information overflow on the World Wide Web makes it increasingly difficult
to find exact, sp...
Methodology
A Two-Way Repeated Measures ANOVA


Search Engines:
TSE - Traditional Search Engine
SSE - Social Search Engine...
Main Findings
•   Efficiency (Time on Task)
     – Search Engine Main Effect
•   Effectiveness (Task Completion)
     – In...
Significance
•   Efficiency (Time on Task)
     – TSE for objective queries
        takes significantly less time
        ...
Significance
•   Satisfaction
     – Higher satisfaction using SSE for Subjective queries while lower
       satisfaction ...
Conclusions
•   Social search engines are better for subjective, specific, and in-
    depth queries
•   Humans have diffe...
A video clip illustrating how a combination of Social and Traditional search engines
                 may give the best se...
Stressful Body Postures:
‘Subjective Queries’ using Traditional Search Engine
Limitations
•   Trusting your Data
    – Turning qualitative data into quantitative data


•   Number of Participants
Future Research
• Add additional traditional and social search engines
• Include more participants
• Put more emphasis on ...
Q?




Nilo.Sarraf@gmail.com
     415.488.NILO
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Lightning Talk for SHDH 38 (Nilo)

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The 38th Super Happy Dev House will be held at Hacker Dojo on Saturday June 26, 2010. Here are the slides for my Lightning Talk.

An MS thesis result in the field of Human Computer Interaction.

Purpose of the study: To examine whether using Social Search Engines have positive impact on user Efficiency, Effectiveness, Satisfaction, and Emotional states.

Published in: Technology, Design
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Lightning Talk for SHDH 38 (Nilo)

  1. 1. Traditional versus Social Search Engines: Will they Rescue us from Drowning in the Ocean of Web Resources? A Project for Master of Science ISE & HCI Nilo Sarraf Lightning Talk - SHDH 38 June 2010
  2. 2. Information Overflow Problem: Information overflow on the World Wide Web makes it increasingly difficult to find exact, specific, and in-depth information and web resources Purpose: To examine whether using Social Search Engines have positive impact on user Efficiency, Effectiveness, Satisfaction, and Emotional state Four Hypothesis: 1. There will be a significant difference between using TSE versus using SSE in terms of the amount of time that it takes to find the targeted web resources 2. There will be a significant difference between using TSE versus SSE in terms of task completion 3. There will be a significant difference between using TSE versus SSE in terms of user satisfaction rate 4. There will be a significant difference between using TSE versus SSE in terms of users emotional state
  3. 3. Methodology A Two-Way Repeated Measures ANOVA Search Engines: TSE - Traditional Search Engine SSE - Social Search Engine Task Levels/Query Levels: Objective, Combination, Subjective N = 20 Objective Combination Subjective (2 tasks) (2 tasks) (2 tasks) TSE 4 Measures: 4 Measures: 4 Measures: 1. Time on Task 1. Time on Task 1. Time on Task SSE 2. Task Completion 2. Task Completion 2. Task Completion 3. Satisfaction 3. Satisfaction 3. Satisfaction 4. Emotion 4. Emotion 4. Emotion
  4. 4. Main Findings • Efficiency (Time on Task) – Search Engine Main Effect • Effectiveness (Task Completion) – Interaction: Search Engine by Task/Query Level • Satisfaction – Task/Query Level Main Effect – Interaction: Search Engine by Task Level • Emotion – Search Engine Main Effect
  5. 5. Significance • Efficiency (Time on Task) – TSE for objective queries takes significantly less time than using SSE • Effectiveness (Task Completion) – More tasks successfully completed using SSE for Subjective queries while less tasks completed using SSE for Objective queries
  6. 6. Significance • Satisfaction – Higher satisfaction using SSE for Subjective queries while lower satisfaction using SSE for Objective queries • Emotion – Increasingly positive (Happy!) using SSE for Subjective queries
  7. 7. Conclusions • Social search engines are better for subjective, specific, and in- depth queries • Humans have different needs for different queries • There is significant difference in how we come to experience web search depending on the type of information we need • Traditional search engines need to get ‘smarter’ • The human brain is a search engines too! • Combining human-brain with machine-brain gives best results in our web resource queries • A combination of Social and Traditional search engine appears to provide the best and the most pleasant search experience for users!
  8. 8. A video clip illustrating how a combination of Social and Traditional search engines may give the best search results and user experience: “I’d give this Aardvark search result a BIG 5 if this answer also included the relevant link to top off this answer!”
  9. 9. Stressful Body Postures: ‘Subjective Queries’ using Traditional Search Engine
  10. 10. Limitations • Trusting your Data – Turning qualitative data into quantitative data • Number of Participants
  11. 11. Future Research • Add additional traditional and social search engines • Include more participants • Put more emphasis on the Emotional measurement - include in-depth follow-up questionnaire to cover the emotional states more thoroughly
  12. 12. Q? Nilo.Sarraf@gmail.com 415.488.NILO

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