What you look at is what you get: eye movement-based interaction techniques
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
You are wrong!: automatic detection of interaction errors from brain waves
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
The Design of Everyday Things
Detecting error-related negativity for interaction design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Interaction error prevention needs to start from a good understanding of the context of an error. One of the central issues in gaze-interaction research is the suppression of the so-called Midas touch: the interface's incorrect evaluation of user gaze as a purposeful interaction command. We conduct a detailed analysis of numerous instances of these events during interactive problem-solving. By developing and applying an annotation scheme we present a taxonomy of the errors and remedial strategies users employ. We present the nuances, richness and development of the user behavior when dealing with the outcomes of the error, and uncover two major coping strategies. The knowledge will be used to design automatic error-prevention mechanisms for gaze-based interaction.