lieChat
In both face-to-face and screen-based conversations, we depend on visual perception to guide us in assessing the other person’s authenticity, emotion etc. While we say that we are “talking” with someone, we are just as much involved in watching them—the things that others “give off” are perhaps more important than the words that pass. Without a doubt, perception of visual cues can help us “sum up” or assess another person—if I am talking to Jim and he is blinking too much, I might conclude that there is something wrong with him—he isn’t telling the truth, perhaps. Or, he is making a little grimacing microexpression just before he smiles that make me realize his smile is forced. But what if the conclusion I make is wrong? Our brains are constantly filtering through millions of bits of data gathered by our sense perceptions and filtering them from the subconscious to the conscious. As soon as they are in our minds, we must do something with them—make an evaluation about Jim blinking too much. While we may use our minds and our intuition to assess correctly in most cases, the only way we can really and truly know the contents of Jim’s mind at that moment—know why he might be blinking too much—is by asking him. But we know he might lie. This is why we trust his body so much—we think it will be more honest. For my first project for Telepresence, LieChat, I decided to explore trust in conversations by using sensors do the work of perceiving what is “given off” by the body. Sensors measuring galvanic skin response (GSR) are attached to both of the people, who are sitting in front of their computers in distant places. The GSR sensors measure the electrical resistance of the skin (sympathetic activity), which is connected to emotional arousal. While it is not possible to identify the particular emotion that is being read by the GSR, fluctuations from a baseline measurement can be used to augment our perception of what the person we are talking to is “giving off.” Each person sits in front of a pan-tilt camera that is controlled by his or her galvanic skin response. The other person sees them on their computer and can have a video Chat just like normal—except they are constantly seeing a graph of the other person’s GSR readings displayed at the bottom of the video. When, in the course of their chat, the GSR sensor picks up a reading that is above the baseline level (indicating emotional arousal) the camera starts to move around. The amount it moves is correlated to the difference between the baseline level and the GSR’s current reading of emotional arousal. Thus, when the person’s GSR goes over the baseline, the person they are talking to sees them, not in focus at the center of the screen, but through the person’s own emotions. While the working name of this project is lieChat, it is really a way of augmenting our perception, and perhaps perspective. We see the other person clearly when they are at the baseline, and in a jerking, erratic way when their GSR is above this level. While the task remains for us to make an assessment of what the GSR values mean in relation to what the person is saying (perhaps they are experiencing anger, perhaps they are embarrassed or in love), lieChat seeks to connect what we “give off” with our interior sates—our emotions so that the people we interact with can trust both our words and our bodies.
Kacie
