Research output: Other contribution
Research output: Other contribution
}
TY - GEN
T1 - Combining Implicit Gaze and AI for Real-Time Intention Projection
T2 - Combining implicit gaze and AI for real-time intention projection
AU - Newn, Joshua
AU - Singh, Ronal
AU - Velloso, Eduardo
AU - Vetere, Frank
PY - 2019/9/9
Y1 - 2019/9/9
N2 - Intention recognition is the process of using behavioural cues to infer an agent’s goals or future behaviour. In face-to-face communication, our gaze implicitly signals our point of interest within the environment and therefore, inadvertently leaks our unspoken intentions to others. In our published body of work, we leverage this implicit function of gaze together with the tendency of humans to plan before executing their actions, resulting in an artificial agent that can project humans intentions while human players engage in a competitive game. In this demo, we created a path-planning game to demonstrate the capability of our artificial agent in a playful manner. The agent projects future plans of players by combining the use of implicit gaze of human players with an AI planning-based model. The demo aims to illustrate that gaze is intentional and that socially interactive agents can harness gaze as a natural input implicitly to assist humans collaboratively with knowledge of their intentions.
AB - Intention recognition is the process of using behavioural cues to infer an agent’s goals or future behaviour. In face-to-face communication, our gaze implicitly signals our point of interest within the environment and therefore, inadvertently leaks our unspoken intentions to others. In our published body of work, we leverage this implicit function of gaze together with the tendency of humans to plan before executing their actions, resulting in an artificial agent that can project humans intentions while human players engage in a competitive game. In this demo, we created a path-planning game to demonstrate the capability of our artificial agent in a playful manner. The agent projects future plans of players by combining the use of implicit gaze of human players with an AI planning-based model. The demo aims to illustrate that gaze is intentional and that socially interactive agents can harness gaze as a natural input implicitly to assist humans collaboratively with knowledge of their intentions.
U2 - 10.1145/3341162.3343786
DO - 10.1145/3341162.3343786
M3 - Other contribution
T3 - UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
ER -