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Facilitating natural flow of information among "taste-based" groups

Published: 27 April 2013 Publication History

Abstract

Social science studies have shown that the disconnection of people from different social classes or opinion groups may reinforce serious problems to our society (e.g., residential segregation, group polarization, or confirmation bias). With the emerging trend of the Web 2.0, however, different kinds of people are likely having less chance to share information with each other. How to design for supporting better information flow among different social, taste, or opinion groups of people becomes a challenging question for digital designers. In this work-in-progress paper we present our on-going research of exploring a crowd-based system for facilitating natural information flow among different types of people. We conducted a Wizard-of-OZ study to simulate push-based human powered recommendation, and learn how participants react when receiving unexpected information. Based on the findings, we designed and implemented a web application for encouraging different kinds of people to exchange information in a peer-to-peer way. Next steps include designing pairing strategy and conducting user study.

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Cited By

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  • (2024)How to Evaluate Serendipity in Recommender Systems: the Need for a SerendiptionnaireProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3688017(1335-1341)Online publication date: 8-Oct-2024
  • (2022)ICT for the Free Flow of Information in Cities: Combatting the Digital Divide and Promoting Information Exchange in Digital EconomyICT, Cities, and Reaching Positive Peace10.1007/978-981-19-3167-3_5(93-116)Online publication date: 19-Jul-2022
  • (2018)A Novel Interaction Design Approach for Accessing Daily Casual Information Through a Virtual CreatureDistributed, Ambient and Pervasive Interactions: Understanding Humans10.1007/978-3-319-91125-0_4(56-70)Online publication date: 15-Jul-2018

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      cover image ACM Conferences
      CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
      April 2013
      3360 pages
      ISBN:9781450319522
      DOI:10.1145/2468356
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 27 April 2013

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      Author Tags

      1. crowdsourcing
      2. information flow
      3. serendipity

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      CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
      Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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      View all
      • (2024)How to Evaluate Serendipity in Recommender Systems: the Need for a SerendiptionnaireProceedings of the 18th ACM Conference on Recommender Systems10.1145/3640457.3688017(1335-1341)Online publication date: 8-Oct-2024
      • (2022)ICT for the Free Flow of Information in Cities: Combatting the Digital Divide and Promoting Information Exchange in Digital EconomyICT, Cities, and Reaching Positive Peace10.1007/978-981-19-3167-3_5(93-116)Online publication date: 19-Jul-2022
      • (2018)A Novel Interaction Design Approach for Accessing Daily Casual Information Through a Virtual CreatureDistributed, Ambient and Pervasive Interactions: Understanding Humans10.1007/978-3-319-91125-0_4(56-70)Online publication date: 15-Jul-2018

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