jo_2023_via_adoption

7,860 responses from 262 respondents to 30 items.

About this table

DescriptionVoice intelligent assistant adoption questionnaire: 10 constructs x 3 items (perceived usefulness, interaction, utilitarian/hedonic motivation, voice attractiveness, parasocial interaction, loneliness, cabin fever, satisfaction, continuance intention), 1-7; N = 262 voice-assistant users during COVID-19 isolation; cov_gender, cov_age, cov_ai_type.
ReferenceJo, H. (2023). Data for: Evaluating motivation attributes and interaction elements in user adoption of voice intelligent assistant [Data set]. Dryad. https://doi.org/10.5061/dryad.jdfn2z3g5
LicenceCC0 1.0
Source datahttps://doi.org/10.5061/dryad.jdfn2z3g5

Size and shape

Responses7,860
Respondents262
Items30
Response categories7
Responses per respondent30
Responses per item262
Density1
LongitudinalFALSE

Classification

age rangeMixed
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameVoice assistant adoption (motivation, interaction, continuance intention)

Codebook

This codebook is reconstructed by the IRW from the IRW data standard and the script that built it, jo_2023_via.py. It is our best reading, not the source’s own codebook, and it may contain mistakes. Where the two disagree, the source data are the authority. If you find an error, please tell us.

ColumnWhat it isSource column
IRW standard columns
idIRW standard Identifier for the focal unit being measured — typically a person, but sometimes another entity (e.g., a word in a lexical task).No
itemIRW standard Item identifier.made in the build script
respIRW standard Response value.made in the build script
Respondent covariates
cov_ageCovariate Age(N)
cov_ai_typeCovariate AI_Type
cov_genderCovariate GND

What item codes and covariate values stand for is in the source’s codebook, content.

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python (both need a free Redivis account; the first call opens a browser to sign in):

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("jo_2023_via_adoption")
# Python
pip install irw

import irw
df = irw.fetch("jo_2023_via_adoption")

How to cite

@misc{https://doi.org/10.5061/dryad.jdfn2z3g5,
  doi = {10.5061/DRYAD.JDFN2Z3G5},
  url = {https://datadryad.org/dataset/doi:10.5061/dryad.jdfn2z3g5},
  author = {Jo, Hyeon},
  keywords = {FOS: Computer and information sciences, FOS: Computer and information sciences},
  language = {en},
  title = {Data for: Evaluating motivation attributes and interaction elements in user adoption of voice intelligent assistant},
  publisher = {Dryad},
  year = {2023},
  copyright = {Creative Commons Zero v1.0 Universal}
}

Version and provenance

IRW versionv584
Redivis datasetitem_response_warehouse_5 v8.5
Redivis dataset DOI10.57761/41xy-5k56
Manifest pin for this IRW versionv8.5
Metadata sourceirw_meta v44.0