20,280 rated or chosen profiles from 1,690 respondents, in up to 6 tasks of 2 profiles varying on 8 attributes.
One of 2 tables from the same source; this one is the citizens table. The others are listed under Related tables.
| Description | German citizens (online sample, February 2023, n = 1,690) chose between two hypothetical municipal e-government chatbots varying developer, chat-history storage, chat termination, automated decisions, workload reduction, time saving, and communication type and tone, in 6 paired tasks. |
|---|---|
| Reference | Hemesath, S., & Tepe, M. (2024). Public value positions and design preferences toward AI-based chatbots in e-government. Evidence from a conjoint experiment with citizens and municipal front desk officers. Government Information Quarterly, 41(4), 101985. |
| DOI | 10.1016/j.giq.2024.101985 |
| Licence | CC0 1.0 |
| Source data | https://doi.org/10.7910/DVN/JJYIUD |
These notes describe the source data, which the IRW reproduces as released. All notes are listed on the Data Notes page.
| Respondents | 1,690 |
|---|---|
| Rows (one per respondent, task and profile) | 20,280 |
| Tasks per respondent (most) | 6 |
| Profiles per task | 2 |
| Attributes | 8 |
| Tasks with no profile chosen | 0 |
| Topic | public administration, technology ai privacy |
|---|---|
| A profile represents | product service |
| Country | DE |
| Language shown | de |
| Language of stored levels | de |
| Randomization restrictions | unknown |
| Task order | recorded in the deposit |
| Profile position | recorded in the deposit |
Outcomes:
| choice | Which of the two chatbots do you prefer? (paraphrase) [choice, forced] |
|---|
attr_chat_historyattr_chat_terminationattr_chatbot_decidesattr_communication_toneattr_communication_typeattr_developerattr_time_savingattr_workload_reductionchoicecov_agecov_area_codecov_duration_seccov_educationcov_gaais1cov_gaais10cov_gaais11cov_gaais12cov_gaais13cov_gaais14cov_gaais15cov_gaais16cov_gaais17cov_gaais18cov_gaais19cov_gaais2cov_gaais20cov_gaais3cov_gaais4cov_gaais5cov_gaais6cov_gaais7cov_gaais8cov_gaais9cov_gendercov_leftright_codecov_psm_1_codecov_psm_2_codecov_psm_3_codecov_psm_4_codecov_psm_5_codecov_state_codecov_tech_regulation_1_codecov_tech_regulation_2_codecov_tech_regulation_3_codecov_tech_regulation_4_codecov_tech_regulation_5_codecov_vote_codeidprofiletasktrial_prime
The layout (one row per respondent, task and profile; choice/rating outcomes; attr_ columns holding each attribute level as displayed) is defined in the IRW conjoint standard. What the outcomes asked is under Design above.
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("hemesath_2024_chatbot_citizens", source = "conj")
# Python
pip install irw
import irw
df = irw.fetch("hemesath_2024_chatbot_citizens", source="conj")
@article{Hemesath_2024, title={Public value positions and design preferences toward AI-based chatbots in e-government. Evidence from a conjoint experiment with citizens and municipal front desk officers}, volume={41}, ISSN={0740-624X}, url={http://dx.doi.org/10.1016/j.giq.2024.101985}, DOI={10.1016/j.giq.2024.101985}, number={4}, journal={Government Information Quarterly}, publisher={Elsevier BV}, author={Hemesath, Sebastian and Tepe, Markus}, year={2024}, month=Dec, pages={101985} }
| IRW version | v584 |
|---|---|
| Redivis dataset | irw_conjoint v4.2 |
| Redivis dataset DOI | 10.57761/qkye-q530 |
| Manifest pin for this IRW version | v4.2 |
| Metadata source | irw_meta v44.0 |