Data · dataset · 2021
Conversational Agent Voting Advice Applications: A comparison between a structured, semi-structured, and non-structured chatbot design for communicating with voters about political issues
Listed in IISH Dataverse and ODISSEI Portal — shown once because both records carry DOI 10.34894/49fzyf
Voting Advice Applications (VAAs) are online survey tools that inform voters about political parties and their standpoints.
Description
Recent research shows that these tools may be improved by integrating a chatbot function that can provide on demand background information about the political issues. This new goal-oriented tool for information-seeking tasks is called a Conversational Agent Voting Advice Application (CAVAA).
In an experimental study (N = 185) during the Dutch national elections of 17 March 2021, three CAVAA designs (structured with buttons, non-structured with a text field, and semi-structured that contained both response options) have been compared on tool evaluation measures (ease of use, usefulness, and playfulness), and political measures (perceived political knowledge and voting intention). Also, a comparison has been made between users with a high or a low educational level.
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Results show a structured design was perceived as more playful compared to a non-structured design. What is more, the structured as well as semi-structured design were easier to use by lower educated users than the non-structured design. Lastly, this lower educated group also reported higher levels of political knowledge after using a CAVAA than the higher educated users.
This suggests that CAVAAs can be a valuable tool to inform voters.
Links
Where it is published
- Dataverse dataset page dataverse.nl/dataset.xhtml?persistentId=doi%3A10.34894%2F49FZYF ↗
landing page · from datasets iisg amsterdam
- Dataverse dataset page portal.odissei.nl/dataset.xhtml?persistentId=doi%3A10.34894%2F49FZYF ↗
landing page · from portal odissei nl
- DOI doi.org/10.34894/49fzyf ↗
DOI / persistent id · from datasets iisg amsterdam
Catalogue records · 2
- Dataverse API dataverse.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2F49FZ… ↗
metadata API · from datasets iisg amsterdam
- Dataverse API portal.odissei.nl/api/datasets/:persistentId/?persistentId=doi%3A10.34894%2F49FZ… ↗
metadata API · from portal odissei nl
Topics
- Stated by source
- Social Sciences · Social Sciences
- From keywords
- Social Science · Social Science
- Inferred from text
- Text 75%
Provenance · 2 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| IISH Dataverse | doi:10.34894/49FZYF | 12 d ago | JSON v1 |
| ODISSEI Portal | doi:10.34894/49FZYF | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:social-sciences | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].dataverse_subject:social-sciences | source · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /subjects |
| concepts[field].local:field:social-science | mapping · portal odissei nl | connector:portal_odissei_nl@1.0.0 | /subjects |
| concepts[modality].local:modality:text | enrichment · datasets iisg amsterdam | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| description | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /description |
| publication_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| title | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | /name |
| updated_date | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 | |
| version_label | source · datasets iisg amsterdam | connector:datasets_iisg_amsterdam@1.0.0 |