Posted on 2017-07-31
Affective Interactions (LLC) is a not-for-profit Research and Development research and development think tank that is focused on developing frameworks and systems for emotionally aware interactions between computers and humans.
AI seeks to develop Affective Designs in order to make Affective Interactions between humans and machines a reality.
AI provides consulting services in the fields of Affective Computing, Flight Simulation, Augmented Reality, Virtual Reality, and Wearable Technology on a limited basis.
What is an affective interaction? “An affective human-computer interaction is one in which emotional information is communicated by the user in a natural and comfortable way, recognized by the computer, and used to help improve the interaction.” (Dr. Rosalind Picard, MIT Media Lab, the progenitor of the field of Affective Computing, 2001).
Affective Computing is the study and development of systems and devices that can recognize, interpret, process, simulate, and respond to human affects (i.e. human emotions). It is an interdisciplinary field spanning computer science, psychology, and cognitive science.
Affective Design emerged from the field of affective computing. Affective Design is the development of interfaces designed to enable human-computer interactions in which emotional information is communicated by and/or to a user in a comfortable and non-intrusive way. The Affective System processes the emotional information and may adapt and/or respond to improve the interaction.
The Principal Computer Scientist, Dr. Shannon Moon, is an autodidact with a passionate interest in Affective Computing, Cognitive Psychology, Augmented Reality, Flight, Soaring, Virtual Reality, Simulation, Wearable Technology, and Gaming.
Dr. Moon holds a doctorate in Computer Science. She is a Harvard alumnus, having earned a Master of Liberal Arts from Harvard University. She also holds a BSSE, as well as many industry certifications related to software development.
She is a licensed aircraft pilot: Airplane Single Engine Land, Single Engine Sea, Glider (Sailplane) and is an H2 rated Hanglider pilot. Dr. Moon also holds a Remote Pilot license for small Unmanned Aircraft Systems (sUAS).
Dr. Moon was recently published at the 3rd IEEE Conference in Computers and Communications: Moon, S. M., & Qu, Y. (2017, December). A quantitative approach for determining pilot affective patterns during soaring flight simulation. In Computer and Communications (ICCC), 2017 3rd IEEE International Conference on (pp. 2617-2624). IEEE.