Types of Motivation Affect Study Selection, Attention, and Dropouts in Online Experiments
| Autor: | Gary Hsieh, Katharina Reinecke, Eunice Jun |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer Networks and Communications
05 social sciences Applied psychology Impact study Boredom Affect (psychology) 0506 political science Human-Computer Interaction 050602 political science & public administration medicine 0501 psychology and cognitive sciences medicine.symptom Psychology 050107 human factors Social Sciences (miscellaneous) Dropout (neural networks) Selection (genetic algorithm) |
| Zdroj: | Proceedings of the ACM on Human-Computer Interaction. 1:1-15 |
| ISSN: | 2573-0142 |
| DOI: | 10.1145/3134691 |
| Popis: | Understanding whether and how motivation affects participation in online experiments is critical because who contributes and how they contribute can affect the validity of findings. Analyzing data from 7,674 participants across three different studies on the volunteer-based online experiment platform LabintheWild, we identified five motivation types for participating: boredom, comparison, fun, science, and self-learning. We found that these motivation types affect study selection, attention, and dropouts. Participants who were highly motivated by boredom paid less attention and were more likely to dropout than those who were motivated by the possibility of contributing to science. We additionally show that motivation can impact study results and suggest how researchers can take participants' motivation into account when designing and analyzing data from volunteer-based online experiments. |
| Databáze: | OpenAIRE |
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