1. 6.3 Physiological Computing ISE554 The WWW for eLearning

2. The reliability of information that can be inferred from certain biological sensor data and ways in which positive benefits can be ensured or measured relating to the use of the feedback that can result from its use.

3. So, what are the prospects of increasing the number of human signals that the computer can perceive and understand?

4. Signals produced subconsciously by a user during the interaction to estimate the user’s cognitive or affective state The use of the signals to directly instruct the computer where the user is usually required to wear a device, and bears the onus of consciously generating the signals to instruct the computer

5. Physiological signals define the signals from the processes of the elements of an organism. It is believed that these signals mirror the states of the elements, which in turn mirror the various cognitive and affective states of a human. Those that have generated most research interest to date include EEG, EMG, electrooculogram (EOG), GSR, EKG, blood volume pulse (BVP), skin temperature, and respiration.

6. Central to the capturing and harnessing of physiological signals are sensors. Typically, they are placed at strategic points on the body. For example, a sensor designed to measure EMG can use a small electrode to measure tiny voltage differences from a muscle.

7. A physiological signal can often be associated with more than one state. For example, an increased heart rate is not only related to anxiety but also to other states of excitement

8. [1] The monitoring of the user psychological state during human– computer interaction [2] The the use of physiological signals to manipulate the computer.

9. It could be a computer that monitors the cognitive and affective state of a learner and manages relevant factors to ensure a wholesomely rewarding learning experience.

10. It could be a computer that makes suggestions for the next learning step depending on the state of the learner.

11. “Neuroscientists [.] who last year implanted a neurotrophic electrode into the brain of a paralyzed, speech- impaired patient, continue to help the patient learn to communicate by moving a cursor on a computer screen. … he has learned to move the cursor to letters of the alphabet and spell his own name and the name of his doctors.”

12. A basic set of requirements for successful engagement in physiologically driven computing: [1] ease of connection to input [2] immersion in output [3] sense of personal connection