Multi-Sensor, Third-Party API, and Cross-Device Integrated Toolkit for Enriching Participatory Research

Abstract

Smart devices include various functions and hardware sensors for specific purposes. The built-in functions and sensors of these smart devices can be repurposed to suit various additional use cases. Qualitative research methods such as “photovoice” are used in community-based participatory research, where participants take photos regarding a particular research theme. These user-generated photos are later interpreted and discussed to discover individuals’ needs and problems. In this study, we aim to create a photo-based application that enables smart devices like smartphones, smart glasses, and smartwatches to function as a digital toolkit for consumers and academics. By utilizing cameras, GPS, voice notes, internal sensors, and third-party APIs that can gather both qualitative and quantitative data at the time of capturing images, we develop a photo-based integrated toolkit.