Swarthmore College

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.

[1]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[2]  B. Edvardsson,et al.  Service portraits in service research: a critical review , 2005 .

[3]  Aaron Steinfeld,et al.  Ethics and Policy Implications for Inclusive Intelligent Transportation Systems , 2010 .

[4]  George A. Boyne,et al.  Sources of public service improvement: a critical review and research agenda , 2003 .

[5]  Roger S. Maull,et al.  Embedding the New Discipline of Service Science , 2011, The Science of Service Systems.

[6]  Robert P. Leone,et al.  Psychological Implications of Customer Participation in Co-Production , 2003 .

[7]  Edward Steinfeld,et al.  The value and acceptance of citizen science to promote transit accessibility , 2010 .

[8]  Aniket Kittur,et al.  Crowdsourcing user studies with Mechanical Turk , 2008, CHI.

[9]  John Zimmerman,et al.  Research through design as a method for interaction design research in HCI , 2007, CHI.

[10]  Manuel Blum,et al.  reCAPTCHA: Human-Based Character Recognition via Web Security Measures , 2008, Science.

[11]  C. Casey REAL-TIME INFORMATION : NOW ARRIVING , 2003 .

[12]  James Biagioni,et al.  Cooperative transit tracking using smart-phones , 2010, SenSys '10.

[13]  John Zimmerman,et al.  Exposing profiles to build trust in a recommender , 2002, CHI Extended Abstracts.

[14]  Alan Borning,et al.  OneBusAway: results from providing real-time arrival information for public transit , 2010, CHI.

[15]  Arja Kuusisto,et al.  Customer Role in Service Production and Innovation – Looking for Directions for Future Research , 2008 .

[16]  C. Prahalad,et al.  Co‐creating unique value with customers , 2004 .

[17]  John Zimmerman,et al.  Understanding the space for co-design in riders' interactions with a transit service , 2010, CHI.

[18]  Paul Johns,et al.  Pathfinder: an online collaboration environment for citizen scientists , 2009, CHI.

[19]  Deborah Estrin,et al.  Biketastic: sensing and mapping for better biking , 2010, CHI.

[20]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..