Utilizing user responses in automated corpus labelling

A computer program product comprising one or more computer readable storage media having program instructions collectively stored on the one or more computer readable storage media, the program instructions executable to:

• identify a time to inject an image and a label within a virtual reality environment or an augmented reality environment, wherein identification of the time comprises identification of one or more content injection opportunities based on time, context, and location within the virtual reality environment or the augmented reality environment;
• determine whether a user is in a state suitable for interaction with the image and the label, based on the time, context, and location;
• inject the image and the label within the virtual reality environment or the augmented reality environment at the identified time based, at least in part, on determination that the user is in the suitable state for interaction;
• capture a user's reflexive biometric response to the injected label and the injected image;
• determine whether the injected label accurately describes the injected image, based on using a neural net algorithm trained on a plurality of user interactions with respect to the injected image, the user's captured reflexive biometric response to the injected label, and the injected image;
• and
• write the determination whether the label accurately describes the injected image to a memory, based on a degree of statistical significance of the user's reflexive biometric response exceeding a threshold.

A system comprising:

• a processor set, one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media, the program instructions executable to:
• identify a time to inject an image and a label within a virtual reality environment or an augmented reality environment, wherein identification of the time comprises identification of content injection opportunities based on time, context, and location within the virtual reality environment or augmented reality environment;
• determine whether a user is in a state suitable for interaction with the image and the label, based on the time, context, and location;
• inject the image and the label within the virtual reality environment or the augmented reality environment at the identified time based, at least in part, on determination that the user is in the suitable state for interaction;
• capture a user's reflexive biometric response to the injected label and the injected image;
• determine whether the injected label accurately describes the injected image, based on using a neural net algorithm trained on a plurality of user interactions with respect to the injected image, the user's captured reflexive biometric response to the injected label, and the injected image;
• and
• write the determination whether the label accurately describes the injected image to a memory, based on a degree of statistical significance of the user's reflexive biometric response exceeding a threshold.