loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Thomas M. Prinz ; Jan Plötner and Anja Vetterlein

Affiliation: Course Evaluation Service, Friedrich Schiller University Jena, Am Steiger 3 Haus 1, Jena and Germany

Keyword(s): Progress Indicator, Prediction Strategy, Fit Measure, Web Survey, Interaction.

Abstract: Web surveys are typical web information systems. As part of the interface of a survey, progress indicators inform the participants about their state of completion. Different studies suggest that the progress indicator in web surveys has an impact on the dropout and answer behaviour of the participants. Therefore, researchers should invest some time in finding the right indicator for their surveys. But the calculation of the progress is sometimes more difficult than expected, especially, in surveys with a lot of branches. Current related work explains the progress computation in such cases based on different prediction strategies. However, the performance of these strategies varies for different surveys. In this position paper, we explain how to compare those strategies. The chosen Root Mean Square Error measure allows to select the best strategy. But experiments with two large real-world surveys show that there is no single best strategy for all of them. It highly depends on the stru cture of the surveys and sometimes even the best known strategy produces bad predictions. Dedicated research should find solutions for these cases. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.88.254.50

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Prinz, T.; Plötner, J. and Vetterlein, A. (2019). The Problem of Finding the Best Strategy for Progress Computation in Adaptive Web Surveys. In Proceedings of the 15th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-386-5; ISSN 2184-3252, SciTePress, pages 307-313. DOI: 10.5220/0008345403070313

@conference{webist19,
author={Thomas M. Prinz. and Jan Plötner. and Anja Vetterlein.},
title={The Problem of Finding the Best Strategy for Progress Computation in Adaptive Web Surveys},
booktitle={Proceedings of the 15th International Conference on Web Information Systems and Technologies - WEBIST},
year={2019},
pages={307-313},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008345403070313},
isbn={978-989-758-386-5},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Web Information Systems and Technologies - WEBIST
TI - The Problem of Finding the Best Strategy for Progress Computation in Adaptive Web Surveys
SN - 978-989-758-386-5
IS - 2184-3252
AU - Prinz, T.
AU - Plötner, J.
AU - Vetterlein, A.
PY - 2019
SP - 307
EP - 313
DO - 10.5220/0008345403070313
PB - SciTePress