Publication:

Fast and Adaptive Questionnaires for Voting Advice Applications

Date

Date

Date
2024
Conference or Workshop Item
Published version

Citations

Citation copied

Bachmann, F., Sarasua, C., & Bernstein, A. (2024). Fast and Adaptive Questionnaires for Voting Advice Applications. Lecture Notes in Artificial Intelligence, 14950, 365–380. https://doi.org/10.1007/978-3-031-70381-2_23

Abstract

Abstract

Abstract

The effectiveness of Voting Advice Applications (VAA) is often compromised by the length of their questionnaires. To address user fatigue and incomplete responses, some applications (such as the Swiss Smartvote) offer a condensed version of their questionnaire. However, these condensed versions can not ensure the accuracy of recommended parties or candidates, which we show to remain below 40%. To tackle these limitations, this work introduces an adaptive questionnaire approach that selects subsequent questions based on users’ previous

Additional indexing

Creators (Authors)

Event Title

Event Title

Event Title
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track

Event Location

Event Location

Event Location
Vilnius

Event Country

Event Country

Event Country
Lithuania

Event Start Date

Event Start Date

Event Start Date
2024-09-09

Event End Date

Event End Date

Event End Date
2024-09-13

Publisher

Publisher

Publisher

Page range/Item number

Page range/Item number

Page range/Item number
365

Page end

Page end

Page end
380

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Discipline-based scholarship (basic research)

Language

Language

Language
English

Date available

Date available

Date available
2024-09-04

Series Name

Series Name

Series Name
Lecture Notes in Artificial Intelligence

Number

Number

Number
14950

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
2945-9133

ISBN or e-ISBN

ISBN or e-ISBN

ISBN or e-ISBN
978-3-031-70381-2

OA Status

OA Status

OA Status
Green

Citations

Citation copied

Bachmann, F., Sarasua, C., & Bernstein, A. (2024). Fast and Adaptive Questionnaires for Voting Advice Applications. Lecture Notes in Artificial Intelligence, 14950, 365–380. https://doi.org/10.1007/978-3-031-70381-2_23

Green Open Access
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Files

Files

Files
Files available to download:2

Files

Files

Files
Files available to download:2
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