İnsan ve makine arasında etkisel görsel-dokunsal iletişim için müzakere modeli

Humans communicate with each other through a number of affective cues. The recognition as well as synthesis of these affective cues using machines have been the interest of the affective computing community. In this paper, we show how haptic and audio-visual cues can be used to display negotiation related affective states. We show that the addition of haptic cues provides a statistically significant increase in the human-recognition of the machine-displayed affective cues. We also show that, as in game theory, certain negotiation strategies such as tit-for-tat generate maximum combined utility for the negotiating parties while providing an excellent balance between the work done by the user and the joint utility.