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Embedding Search into a Collaborative Conversational Platform

This study explores the integration of search functions into messaging platforms, focusing on collaborative search tasks. The findings show the effects of different searchbot conditions on participants' workload, collaborative experience, interaction with the bot, and search behaviors.

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Embedding Search into a Collaborative Conversational Platform

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  1. Embedding Search into a Conversational Platform to Support Collaborative Search Florian Groß 28. Mai 2019 1

  2. Outline • Introduction • Methodology • Results • Discussion Florian Groß 2

  3. Introduction • New messaging platforms allow collaboration • work-related/personal tasks • Ability to integrate third-party applications • Interaction directly from communication channel • Search-bots designed to perform specific type of search • Focused on use by individuals to date Florian Groß 3

  4. Searchbot in Slack Florian Groß 4

  5. What is the problem? • Search bots able to support multiple users working collaboratively on information-seeking tasks • Dedicated Systems most common approach for collaborative search • Search engine as centerpiece • Include peripheral tools to communicate • Found to provide benefits for users • People engaging in collaborative search do so using non-integrated tools Florian Groß 5

  6. Related Work • Morris concluded future research should develop “glue systems” that offer integration between existing search and communication tools • Collaborative work introduces several challenges • Imbalanced participation • Pacing issues • Difficulties implementing strategies Florian Groß 6

  7. Researchers approach • Integrate search tools into communication platforms • Search bot into Slack • 27 pairs of participants • Two different search bot designs and a baseline design • Browser only condition • Slack only condition • Slack Browser condition Florian Groß 7

  8. Research Questions • What is the effect of the searchbot condition on participants … • level of workload during the task? • collaborative experience? • experience while interacting with the bot inside of Slack? • search behaviors during the task? Florian Groß 8

  9. Study Protocol • Completing demographic questionnaire • Completed three search tasks • Each associated with a different searchbot condition • Same protocol for each search task • Participants got explanation together • Executed task in different rooms • 15 minutes per task • Post task questions after each search task Florian Groß 9

  10. Search Task • Three comparative search tasks • Choose three items to consider • Compare items along three dimensions • Make final item selection • Given just dimensions • Each task include background story and objective statement Florian Groß 10

  11. Browser only condition • Participants used out-of-channel search tools • Simulate own independent systems to search • Use the messaging platform to coordinate and share findings Florian Groß 11

  12. Slack only condition • Only issue queries inside of slack • Submit query to bot with “@bot” • Bot able to automatically respond to queries • Search results embedded directly into Slack • Top three results • “click here for more” hyperlink • Pop-up browser window with 10 additional results • No search bar inpop-up Florian Groß 12

  13. Slack Browser Condition • Issue queries inside and outside of Slack • First query needs to be issued in Slack • Like in slack only condition • Pop-up results page contains search bar • For individual search Florian Groß 13

  14. Post Task Questionnairs • Questionnaire about aspects of workload • Questionnaire about three aspects of collaborative experience • Awareness of each others activities • Collaborative effort • Collaborative enjoyment • Questionnaire about experience interacting with the bot • Gains obtained from searchbot • Ease of coordinating the use of searchbot Florian Groß 14

  15. Search behavior • Query intent overlap measure • Degree of overlap between search intent of both participants • Repeated intent measure • Degree to which query got re-issued as another query by same participant Florian Groß 15

  16. Results • What is the effect of the searchbot condition on participants level of workload during the task? • Greater effort with the searchbot • Maybe due to novelty of using the bot Florian Groß 16

  17. Results • What is the effect of the searchbot condition on participants collaborative experience? • Greater awareness of partners activities with bot • Greater confidence partner is aware of own activity with bot • Greater ease in sharing information with partner using bot • Same benefits as standalone collaborative search systems Florian Groß 17

  18. Results • What is the effect of the searchbot condition on participants experience while interacting with the bot inside of Slack? • Participants being more distracted by partners interaction with searchbot during periods of individual work (Maybe source of effort) Florian Groß 18

  19. Results • What is the effect of the searchbot condition on participants search behaviors during the task? • Participants search intents had less overlap when using the bot • Participants issued fewer queries, abandoned fewer queries and fewer query-reformulations in slack only condition • Greater levels of query-refinement might have led to better search results and less effort Florian Groß 19

  20. Limitations and Future Work • Participants were students of their institute •  Maybe aware of problems of collaboration •  No good generalization • Participants forced to share same querying environment • Less query refinement • Sub-optimal search results? • Not mentioned how pairs where chosen • Future workshould build on this design and identify sources of effort that can bealleviated. Florian Groß 20

  21. Discussion Florian Groß 21

  22. Backup • (*,*), (1,*), (*,1), (2,2) • Tothis end, • we used the two-dimensional coding scheme described above. Our • repeated intent (RI) measure considers the percentage of a participant’s • queries that had the same item-dimension codes as another • query from the same participant. • Value between 0 and 1 Florian Groß 22

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