Description
Voting Advice Applications (VAAs) are online survey tools that inform voters about political parties and their standpoints. 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 with buttons and a text field) 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. Results show that the structured design was perceived as more playful compared to the non-structured design. Moreover, lower educated users rated the structured and the semi-structured design as easier to use than the non-structured design. Finally, 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.Period | 24 Nov 2021 |
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Event title | Conversations: 5th international workshop on chatbot research |
Event type | Conference |
Degree of Recognition | International |
Keywords
- Conversational agents
- voting advice applications
- political knoledge
- voting intention
- ease of use
- usefulness
- playfulness
Related content
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Research output
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Conversational agent voting advice applications: A comparison between a structured, semi-structured, and non-structured chatbot design for communicating with voters about political issues
Research output: Contribution to conference › Paper › Scientific › peer-review