How well can an AI chatbot infer personality? Examining psychometric properties of machine-inferred personality scores.
研究了AI聊天机器人推断人格分数的心理测量学特性，发现其总体信度可接受，结构效度良好，但区分效度和效标关联效度较低，部分分析中增量效度优于自评问卷。
= 61), we obtained test-retest data. Results indicated that machine-inferred personality scores (a) had overall acceptable reliability at both the domain and facet levels, (b) yielded a comparable factor structure to self-reported questionnaire-derived personality scores, (c) displayed good convergent validity but relatively poor discriminant validity (averaged convergent correlations = .48 vs. averaged machine-score correlations = .35 in the test sample), (d) showed low criterion-related validity, and (e) exhibited incremental validity over self-reported questionnaire-derived personality scores in some analyses. In addition, there was strong evidence for cross-sample generalizability of psychometric properties of machine scores. Theoretical implications, future research directions, and practical considerations are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).