Digital annotation traces can predict conscientiousness and neuroticism scores with reasonable accuracy¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? A semi-automatic system computing personality from digital annotation traces achieves reasonable accuracy for conscientiousness and neuroticism. → Omheni 2017

Evidence¶

Omheni 2017¶

Omheni, N., Kalboussi, A., Mazhoud, O., & Hadj Kacem, A. (2017). Computing of Learner’s Personality Traits Based on Digital Annotations. International Journal of Artificial Intelligence in Education, 27, 241-267. https://doi.org/10.1007/s40593-016-0124-x

q2 · i? · associational · r1

Evaluation study with 100 volunteers using the i-Read system; the article reports "reasonable accuracy" for the two traits but no standardized effect size is printed in this quote.

"The experimental results show the system's efficiency to measure, with reasonable accuracy, the scores of a learner's conscientiousness and neurotics traits."

Discussion¶

Related Claims¶

• Bland-Altman analysis shows small bias between i-Read and NEO-IPIP scores for conscientiousness (−0.72) and neuroticism (1.29) — possibly the same claim (merge candidate)
• Neuroticism is negatively correlated with all annotation activity features — a narrower finding that bears on this claim
• Conscientiousness is positively related to the number of textual annotation acts — a narrower finding that bears on this claim