Designing Connected Data Products
The Internet of Things (IoT) has become a key driver for design and innovation, and is enabling novel "smart" connected products and services in domains such as domestic life, health, social care, sports, mobility and energy. The key ingredient of connected IoT products and services is data: they collect, process and analyse sensor data to create data-driven functionalities and user experiences. The product's data capabilities in turn are defined by designers and developers who analyse sensor and product data to understand how to deliver value to users. Most often the data in question is data about people. This data is either explicitly collected by users (for example, when users track and share their location using a wearable device), or implicitly inferred (for example, when a residential energy system tracks users' daily behaviours). In essence, connected IoT products are data products: they acquire value from data and create more data as a result. This key aspect of connected IoT products requires designers to develop new perspectives on how to incorporate sensor data into the design and development process beyond conventional software practices.
In this tutorial, we will bring together design, software engineering and machine learning expertise to teach a practical approach to designing and developing connected data products for the IoT. By the end of this tutorial, you will have acquired an understanding of the challenges and opportunities of connected data products, design and development processes and key enabling technologies.
- Gerd Kortuem, TU Delft
- Fahim Kawsar, Nokia Bell Labs and TU Delft
- Chulhong Min, Nokia Bell Labs
- Akhil Mathur, Nokia Bell Labs
- Sourav Bhattacharya, Nokia Bell Labs
- Jacky Bourgeois, TU Delft
- Alberto Gil Ramos, Nokia Bell Labs
- Alessandro Montanari, Nokia Bell Labs
- Part 1 (2 PM to 3 PM): User Experience Design for Connected Data Products
- Part 2 (3.30 PM to 4.15 PM): Technology for Connected Data Products
- Part 3 (4.30 PM to 5.15 PM): Deep Data Analytics for Connected Data Products