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Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design

Published: 07 May 2011 Publication History

Abstract

Crowd-sourcing social computing systems represent a new material for HCI designers. However, these systems are difficult to work with and to prototype, because they require a critical mass of participants to investigate social behavior. Service design is an emerging research area that focuses on how customers co-produce the services that they use, and thus it appears to be a great domain to apply this new material. To investigate this relationship, we developed Tiramisu, a transit information system where commuters share GPS traces and submit problem reports. Tiramisu processes incoming traces and generates real-time arrival time predictions for buses. We conducted a field trial with 28 participants. In this paper we report on the results and reflect on the use of field trials to evaluate crowd-sourcing prototypes and on how crowd sourcing can generate co-production between citizens and public services.

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Cited By

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  • (2024)Prototyping with Uncertainties: Data, Algorithms, and Research through DesignACM Transactions on Computer-Human Interaction10.1145/370232231:6(1-21)Online publication date: 6-Dec-2024
  • (2024)“The bus is nothing without us”: Making Visible the Labor of Bus Operators amid the Ongoing Push Towards Transit AutomationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642714(1-16)Online publication date: 11-May-2024
  • (2024)“I Prefer Regular Visitors to Answer My Questions”: Users’ Desired Experiential Background of Contributors for Location-based Crowdsourcing PlatformProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642520(1-18)Online publication date: 11-May-2024
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    cover image ACM Conferences
    CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    May 2011
    3530 pages
    ISBN:9781450302289
    DOI:10.1145/1978942
    Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 07 May 2011

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    Author Tags

    1. crowd-sourcing
    2. field trial
    3. service design
    4. transit

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    CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

    View all
    • (2024)Prototyping with Uncertainties: Data, Algorithms, and Research through DesignACM Transactions on Computer-Human Interaction10.1145/370232231:6(1-21)Online publication date: 6-Dec-2024
    • (2024)“The bus is nothing without us”: Making Visible the Labor of Bus Operators amid the Ongoing Push Towards Transit AutomationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642714(1-16)Online publication date: 11-May-2024
    • (2024)“I Prefer Regular Visitors to Answer My Questions”: Users’ Desired Experiential Background of Contributors for Location-based Crowdsourcing PlatformProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642520(1-18)Online publication date: 11-May-2024
    • (2024)The Development of Human-Centered Design in Public Transportation: A Literature ReviewHCI in Mobility, Transport, and Automotive Systems10.1007/978-3-031-60480-5_3(40-62)Online publication date: 29-Jun-2024
    • (2023)Leveraging Personas for Social Impact: A Review of Their Applications to Social Good in DesignInternational Journal of Human–Computer Interaction10.1080/10447318.2023.224756840:19(5569-5584)Online publication date: 7-Sep-2023
    • (2022)Measuring the Impact of Crowdsourcing Features on Mobile App User Engagement and RetentionManagement Science10.1287/mnsc.2020.394368:2(1297-1329)Online publication date: 1-Feb-2022
    • (2022)Two Years or More of Co-speculation: Polylogues of Philosophers, Designers, and a Tilting BowlACM Transactions on Computer-Human Interaction10.1145/351423529:5(1-44)Online publication date: 20-Oct-2022
    • (2022)Use Cases for Design Personas: A Systematic Review and New FrontiersProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517589(1-21)Online publication date: 29-Apr-2022
    • (2022)How Experienced Designers of Enterprise Applications Engage AI as a Design MaterialProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517491(1-13)Online publication date: 29-Apr-2022
    • (2022)How HCI Adopts Service DesignProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502128(1-14)Online publication date: 29-Apr-2022
    • Show More Cited By

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