Robert Bosch

Alessandro Oltramari

Lixiu Yu

Wan-yi Lin

A decision-support system for a public transportation system includes a computing system programmed to generate public transit route options for the commuter based on at least one decision factor that estimates an expected impact on other commuters resulting from the commuter choosing each of the public transit route options, and output, for display, values associated with the at least one decision factor to influence the commuter in making a route selection.

System and method for crowdsourced decision support for improving public transit riding experience

A crowdsourced dialogue system includes a first and second computer system, a training system, and an automated response system. The first computer system includes a caller interface operated by a non-expert user and to generate caller dialogue data based on inputs to the first computer system from the non-expert user. The second computer system includes an expert interface operated by an expert user and to generate expert dialogue data based on inputs to the second computer system from the expert user. The training system includes a general domain dialogue database. The training system is configured to generate a domain-specific dialogue database based on the caller dialogue data and the expert dialogue data. The automated response system includes a chatbot that is trained with the general domain dialogue database and the domain-specific dialogue database to generate natural language dialogue data at least in a domain of the domain-specific dialogue database.

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Pittsburgh, PA, United States of America

Alessandro Oltramari