Short Story ⟡ Informatics

Between Data and Emotions

Depicting hearts swaying between quantifiable information and unquantifiable emotions.

  • #quantification
  • #measurement
  • #emotion
  • #subjective
  • #objective

"Can emotions be turned into data?"

Yuki suddenly asked.

Aoi looked up. "Difficult question."

"Why?"

"Emotions are subjective. Hard to measure objectively."

Mira wrote in her notebook. "Heart rate, sweating, facial expressions."

"Those are measurable, but not emotions themselves," Aoi supplemented.

"Physiological responses are just proxy indicators of emotions."

Yuki thought. "But there's emotion AI now, right?"

"There is. Facial recognition, voice analysis. Technology to estimate emotions."

"Estimation is possible. But no certainty."

Mira wrote new words. "Measurable ≠ Understandable."

"Measurable doesn't mean understandable," Aoi translated.

"The reverse too. Understandable doesn't always mean measurable."

Yuki opened her notebook. "Then data and emotions are separate things?"

"Separate but related."

Aoi explained. "Data is the shadow of reality."

"Not the substance itself, but its representation."

"Like Plato's cave allegory."

Mira nodded. Then wrote. "Mapping."

"Mapping from emotion space to data space."

"But mapping loses information."

Yuki asked. "What information gets lost?"

"Nuance, context, individual differences."

"Same heart rate can mean nervousness or anticipation."

"Data alone can't distinguish."

Aoi continued. "Information theoretically, it's a quantization problem."

"Dividing continuous, complex emotions into discrete categories."

"'Happy,' 'sad,' 'angry'... but emotions are gradations."

Yuki understood. "Classification erases subtle differences."

"Right. A resolution problem."

Mira drew a diagram. High-dimensional space projected to low dimensions.

"Dimensionality reduction," Aoi explained.

"Emotions are high-dimensional. But expression is low-dimensional."

"So they don't fully convey."

Yuki suddenly asked. "Then is relying too much on data dangerous?"

"Dangerous in that you should know the limits."

"Data is convenient but not omnipotent."

Aoi gave an example. "Dating apps. Data matching measures compatibility."

"But meeting in person can be different."

"There's compatibility data can't capture."

Mira wrote. "Chemistry."

"Data can't predict intuitive connections."

Yuki laughed. "Chemistry. How romantic."

"But it's the essence," Aoi said.

"Human relationships are complex systems. Nonlinear and unpredictable parts."

Yuki pondered. "Then should I trust data or emotions?"

"Both."

Aoi answered. "Data gives objective indicators. But final judgment is emotion."

"Balance matters."

Mira took out a new page. "Data is map. Emotion is compass."

"Maps show the way. Compass shows direction."

"Only with both do you reach your destination."

Yuki copied into her notes. "Good metaphor."

Aoi continued. "Information theory can quantify information content."

"But information's meaning can't be quantified."

"Meaning depends on receiver's interpretation."

Yuki asked. "Is machine learning the same?"

"Similar. Learning patterns from massive data."

"But machines don't understand the meaning of learned patterns."

"Just finding statistical correlations."

Mira wrote. "Understanding > Recognition."

"Recognition is possible. But understanding is different."

Aoi nodded. "Human strength is in understanding."

"Even with little data, we can grasp meaning from context."

Yuki summarized. "Both data and emotions are needed."

"Emotions fill what data can't see."

"Data corrects what emotions distort."

Aoi smiled. "You have good balance sense."

"Thank you."

Mira wrote finally. "Courage to stand between."

"Between data and emotions. Standing there might be what makes us human."

Aoi looked out the window. "Not easy. But that's intelligence."

Yuki nodded. "I'll keep thinking between them."

The three quietly faced their respective notebooks.

Data and emotions. Between them, people worry and grow.