Data · dataset · 2026
Experimental data on anthropomorphic AI customer service design, social presence, and user adoption intention: a 2 × 2 between-subjects study (N = 305)
Listed in ScienceDB
This dataset contains the complete analysis data from a 2 × 2 between-subjects experiment examining how the anthropomorphic design of AI customer-service agents influences users' use intention.
Description
A total of 305 participants were randomly assigned to one of four cells crossing visual anthropomorphism (high/low) and linguistic anthropomorphism (high/low), watched a 50-second simulated dialogue between a customer and the virtual service agent "Jiajia", and then completed a questionnaire.
The dataset comprises 305 rows × 32 columns: five composite variables (visual anthropomorphism, linguistic anthropomorphism, social presence, use intention, and social anxiety, each computed as the arithmetic mean of its items), twenty Likert-scale measurement items (7-point anchors), experimental condition codes (scenario identifier plus two condition dummies), and three demographic variables (gender, age band, and education).
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There are no missing values. All direct and indirect identifiers — including response ID, user ID, IP address, geolocation, timestamps, response duration, and distribution metadata — were removed prior to deposition; only de-identified questionnaire responses and coarse demographic bands are retained. The dataset fully reproduces all results reported in the associated manuscript, including construct reliabilities (Cronbach's α), the common method bias assessment (Harman's single-factor test), manipulation checks and the 2 × 2 analysis of variance (with Levene's and Welch's robust tests), as well as mediation and moderated mediation analyses in which trait social anxiety moderates the social presence → use intention path (5,000 bootstrap samples, bias-corrected confidence intervals).
A full codebook and data-processing notes are provided in the "变量说明" (codebook) and "数据处理说明" (processing notes) worksheets of the deposited file.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.012rx ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Social robotics 77%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.012rx | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:460810 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (77%) |
| concepts[field].local:field:computer-science-ai | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |