Open Innovation Practices for Artificial Intelligence: A Context-Aware Emotion Application

Open innovation involves the utilization of ideas, resources, and technologies available in the external environment (inbound dimension) as well as making internal assets available beyond the organization's borders (outbound dimension). Additionally, it involves the implementation of a combination of practices that leverage both dimensions (coupled dimension). Therefore, open innovation practices demonstrate potential when applied in the innovation process, spanning from the introduction of an idea to the commercialization stage. The case study is an artificial intelligence project named “Actionable Emotion Detection in Context-aware Systems”. This is a prototype to a framework for context-aware applications that could use the provided implicit user feedback to self-adapt their settings to user needs. This framework will consider to detect negative emotions in real time as a source of implicit feedback. Based on this case, this proposal utilizes the representation of the innovation funnel to illustrate the inherent activities in each phase of the process with an open innovation approach. Additionally, potential open innovation practices supporting the journey from idea inception to the implementation of technological innovation in the market are outlined.