Designing with Data: A Case Study
This addresses the challenge for businesses in utilizing IoT sensor data to create value through secondary services, but it is incremental as it focuses on a specific case study without broad methodological innovation.
The paper tackled the problem of designing secondary services using IoT data by studying how a commercial team used smart thermostat data to prototype an advice-giving chatbot, resulting in insights into practical design methods for chatbot prototyping and secondary service design.
As the Internet of Things continues to take hold in the commercial world, the teams designing these new technologies are constantly evolving and turning their hand to uncharted territory. This is especially key within the field of secondary service design as businesses attempt to utilize and find value in the sensor data being produced by connected products. This paper discusses the ways in which a commercial design team use smart thermostat data to prototype an advice-giving chatbot. The team collaborate to produce a chat sequence through careful ordering of data & reasoning about customer reactions. The paper contributes important insights into design methods being used in practice within the under researched areas of chatbot prototyping and secondary service design.