Brainware: synergizing software systems and neural inputs

Abstract

The rapid advances in the field of Brain Computer Interfaces (BCI) are expected to enrich the quality of people's lives. BCI connects computer actions with neural inputs-signals indicating the user's intentions, desired actions, attention, thoughts, memories, and emotions. BCI applications present significant challenges for computer science and software engineering research: an avalanche of neural signals will make their way as direct input into software systems. Given the differences between neural inputs and behavioral ones, the integration of neural inputs will require special approaches, and not simply adding yet more user interface channels to preexisting software systems. This paper explores the challenges of designing and implementing self-adaptive software systems that could synergize brain states. After framing the problem, its rationale and possible solutions, in this paper we argue that the software engineering community ought to investigate how to incorporate neural inputs into software systems. The days are now upon us when software systems can "feel" and "anticipate" the users' intentions and therefore react self-adaptively and synergistically to their needs.

Repairing Brain-Computer Interfaces with Fault-Based Data Acquisition

“…Application areas have included writing, comprehension, and debugging of code [4,9,26]. The application of software engineering research to BCIs has been proposed with a particular emphasis on self-adaptive systems reacting to inputs where those inputs are now neural signals [15].…”