Datasets:
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"field_id": "F013",
"field": "affective computing",
"directions": [
{
"direction_id": "G0",
"name": "Visual inference of depicted people's affect",
"scope": "Infer individual or group emotions from depicted people's faces, actions, and scene and social context, including joint learning of related facial affect descriptors."
},
{
"direction_id": "G1",
"name": "Affect inference from communicative signals",
"scope": "Infer expressed emotion or affect from speech, non-linguistic vocalizations, text, and combined audio, visual, and textual evidence, including the use of conversational relationships and turn context."
},
{
"direction_id": "G2",
"name": "Affect elicited by media",
"scope": "Predict or explain the emotional responses that images, videos, memes, art, music, and other content elicit in viewers or listeners, including response distributions and reasons for those responses."
},
{
"direction_id": "G3",
"name": "Monitoring affective and cognitive states",
"scope": "Estimate people's emotions and activity-related stress, engagement, attention, fatigue, and cognitive load from physiological, neural, thermal, or behavioral observations."
},
{
"direction_id": "G4",
"name": "Learning with limited or uncertain affect supervision",
"scope": "Obtain representations and supervision usable for affect prediction when affect annotations are scarce, ambiguous, or unreliable, and address label disagreement or predictive uncertainty."
},
{
"direction_id": "G5",
"name": "Affect inference across shifts and impaired observations",
"scope": "Maintain effective affect inference when populations or corpora change, or when expected affective evidence is missing, occluded, noisy, or degraded."
},
{
"direction_id": "G6",
"name": "Fairness of affective inference",
"scope": "Identify or mitigate demographic or other group-dependent bias and unfairness in the inference of affect and related psychological states."
},
{
"direction_id": "G7",
"name": "Explaining emotions through events and roles",
"scope": "Link emotions to the events that elicit them, relevant participants, or cognitive appraisals of situations to extract or explain the basis on which emotions arise."
},
{
"direction_id": "G8",
"name": "Emotionally responsive agents",
"scope": "Enable interactive agents to reason, provide support or interventions, or respond with embodied affect in light of people's emotions or circumstances."
},
{
"direction_id": "G9",
"name": "Emotion-controlled expressive generation",
"scope": "Generate or transform music, speech, images, and facial reactions so that the outputs convey an intended emotion or have an appropriate affective expression."
},
{
"direction_id": "G10",
"name": "Affect research resources and measurement validity",
"scope": "Establish annotated data, tasks, and benchmarks for affect research, and examine whether labels, measurements, and evaluation protocols support credible research conclusions."
}
]
}
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