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Evaluation of a Natural Speech Based Informational Inquiry System as a Potential Means to Increase Transit Utilization

File Language:
English


Details

  • Creators:
  • Corporate Creators:
  • Subject/TRT Terms:
  • Publication/ Report Number:
  • Resource Type:
  • Geographical Coverage:
  • TRIS Online Accession Number:
    01501353
  • Edition:
    Final Report
  • Corporate Publisher:
  • Abstract:
    This project proposed to explore the potential of a user friendly, natural speech based information inquiry application as one means of increasing public transit utilization. It suggested that a key challenge to expanding transit ridership isto encourage people who have not used a system to develop familiarity with it. The initial phase of the project focused on gathering strategic information from potential users on implementations of a speech interface they would be most likely to use and the types of information they perceive as being most useful in supporting and/or increasing their use of the transit system. Attention was focused on how demographic factors such as age and gender, as well as technology experience, impact on preferences and likely willingness to consider using various implementations of such systems. Parallel to the start of this project, the Massachusetts Bay Transportation Authority (MBTA) and Massachusetts Department of Transportation developed broad accessibility to real-time data for the commercial development of applications for traffic and public transit availability. Google and other third party developers quickly developed robust applications utilizing this information that have undergone rapid optimization making the development of a research based evaluation difficult. In essence, the state of the technology was moving too fast to take a snapshot of an application for an extended assessment of its impact on mobility. The project was therefore extended somewhat to include a broader examination of the impact of speech-based interfaces in a wider variety of transportation-related scenarios.
  • Format:
    PDF
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:5888426d54d02afe1bf0f978e453209928cb3b30203043a3f36f32ad92ef689a
  • Download URL:
  • File Type:
    Filetype[PDF - 213.40 KB ]
File Language:
English
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