Research Information System
8th EAI International Conference on Robotics and Networks, EAI ROSENET 2024, Crete, Greece, 3 - 05 September 2024, pp.155-169, (Full Text)
In the literature, it is possible to see many studies in the field of intention mining using HCI and especially on intention recognition. In our work, we focus not only on the recognition of intention but also the reshaping of the intention recognized in human through HCI into a desired intention determined by the computer. In this study, we conduce to intention mining and reshaping with an HCI equipped with our proactive stimulus impact approach. Our novel approach enables to carry out the reshaping of the intention by taking into account the shape of proactive visuals. These visuals we created determine the emotional interaction of the robotic proactive stimulus, subject to a stimulus provided by the robotic system. Our intention mining and reshaping system consists of two phases: In the former phase, the recognition of deep intention surfacing by HCI (intention mining) is handled. To be able to do this, we record and analyze actual bluff game sessions and label the bluff moves through the formation of intention matrices in order to create a model verification of our system. Subsequently, intention recognition is conducted on test videos where a CNN-based deep learning method has already been implemented, allowing our system to learn bluffing behaviors in humans. The latter phase comprises the reshaping of this deep intention into a non-premeditated, newly fabricated one by our system. We adapt the bluff card game played face to face with a computer interface that helps reshape intentions of the players. Players’ existing intentions are reshaped into new desired intentions by being psychologically influenced with appropriate proactive stimuli confronted by our robotic system. In this context, a computer robotic interface we designed delivers visuals as proactive stimuli, leveraging the psychobiological emotional impact of shapes on the player. The effectiveness of our HCI system is empirically validated, and the reshaping performance is evaluated based on these psychobiological parameters associated with our innovative approach.