ParmoSense: A Scenario-based Participatory Mobile Urban Sensing Platform with User Motivation Engine
Yuki Matsuda, Shogo Kawanaka, Hirohiko Suwa, Yutaka Arakawa, Keiichi, Yasumoto

TL;DR
ParmoSense is a flexible, scenario-based participatory mobile sensing platform that simplifies setup and encourages user participation through modular functions and user-friendly tools, demonstrated by extensive case studies.
Contribution
It introduces a modular, scenario-based PMS system with GUI tools and motivation features, making urban sensing accessible and adaptable for non-technical users.
Findings
ParmoSense outperforms existing platforms in cost-performance.
It is easy for non-technical users to operate and participate.
Successful deployment in 19 diverse case studies over 4 years.
Abstract
Rapid proliferation of mobile devices with various sensors have enabled Participatory Mobile Sensing (PMS). Several PMS platforms provide multiple functions for various sensing purposes, but they are suffering from the open issues: limited use of their functions for a specific scenario/case and requiring technical knowledge for organizers. In this paper, we propose a novel PMS platform named ParmoSense for easily and flexibly collecting urban environmental information. To reduce the burden on both organizers and participants, in ParmoSense, we employ two novel features: modularization of functions and scenario-based PMS system description. For modularization, we provide the essential PMS functions as modules which can be easily chosen and combined for sensing in different scenarios. The scenario-based description feature allows organizers to easily and quickly set up a new participatory…
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Taxonomy
TopicsMobile Crowdsensing and Crowdsourcing · Human Mobility and Location-Based Analysis · Indoor and Outdoor Localization Technologies
