Investigating Collaborative Mobile Search Behaviors, at Mobile HCI 2013
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Investigating Collaborative Mobile Search Behaviors, at Mobile HCI 2013

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People use mobile devices to search, locate and discover local information around them. Mobile local search is frequently a social activity. This paper presents the results of a survey and an ...

People use mobile devices to search, locate and discover local information around them. Mobile local search is frequently a social activity. This paper presents the results of a survey and an exploratory user study of collaborative mobile local search. The survey results show that people frequently search with others and that these searches often involve the use of more than one mobile device. We prototyped a collaborative mobile search app, which we used as a tool to investigate users’ collaborative mobile search behavior. Our study results provide insights into how users collaborate while performing search. We also provide design considerations to inform future mobile local search technologies.

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  • I’d like you to think about the last time you did a local search on a mobile device where at least one other person was involved. How did you collaborate? Were you co-located or was someone collaborating remotely? How many devices where you using? How did you share the results?
  • Majority of searches performed with up to 4 people (95.2%)
  • Median 3 picks added and 0 picks removed. Not too many picks removed. Manageable number of picks for two people.Participants were very aware of the notifications. 15 times by 9 users.We also had a query cloud feature but in the interest of time, please look for it in the paper.Query cloud used 19 times by 10 participants. Said more effective with session histories and popular searches.
  • Median 3 picks added and 0 picks removed. Not too many picks removed. Manageable number of picks for two people.Participants were very aware of the notifications. 15 times by 9 users.
  • Query cloud used 19 times by 10 participants. Said more effective with session histories and popular searches.

Investigating Collaborative Mobile Search Behaviors, at Mobile HCI 2013 Investigating Collaborative Mobile Search Behaviors, at Mobile HCI 2013 Presentation Transcript

  • Investigating Collaborative Mobile Search Behaviors Shahriyar Amini, Vidya Setlur, Ina Xi, Eiji Hayashi, Jason Hong Carnegie Mellon University, Nokia Research Center August 29, 2013
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  • Conducted a survey on users’ most recent collaborative mobile search. • 63 Participants – (35 Male, 26 Female, 2 Skipped) • 68.2% between 18-35 years old • Participants used mobile search frequently – 19% searched daily – 52% weekly 3
  • Collaborators often search with more than one device. • 57.1% searches with one other person • 77.8% collaborations are co-located • More than 50% used more than one device • 87.3% share results through talking • Less familiar with the area of search than if searching alone. 4
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  • Conducted a study with search app. • 42 Participants (28 male, 14 female) • 73.8% between 18-25, others: 26-35 • 23 students, others: writers, attorneys, etc. • Studied stand-alone app vs. collaborative version of the app • Searched and agreed on a restaurant where they would both like to eat lunch • 2 tasks with each version including one practice 6
  • Users can view and share results. 7
  • Collaborative features promoted exploration. • Collaborative searches took longer: – 5.81 vs 7.42 mins (p< 0.01) • Collaborative searches involved more detailed view pages: – 11.90 vs 18.33 detail page views (p< 0.01) • Non-collaborative searches resulted in replication of the search process and comparison of the returned results. 8
  • Collaborators usually exercised two approaches. 9 Exploratory Targeted
  • Participants took into account the opinion of those not present. 10
  • Design Implications and Conclusion Facilitate communication: Provide an opportunity to explain actions. Offer collaborative filters/omission lists: Enable users to express dislikes. Optimize for friends and family: Offer pre-sets and expose preferences. 11
  • 12
  • Users can view and share results. 13
  • Users can re-use previous queries. 14
  • Collaborators used the Picks list most often. • Median 3 picks added • Median 0 picks removed • Participants were very aware of the notifications • Notifications were used 15 times total by 9 users • Query cloud used 19 times by 10 participants • More effective with session histories and popular searches 15