Publication Details
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Christina Schneegaß, Fiona Draxler
Cognitive Biases and their Effect on Mobile Learning: The Example of the Continued Influence Bias and Negative Suggestion Effect In Proceedings of the CoBiâ20 Workshop on Detection and Designfor Cognitive Biases in People and Computing System at the ACM Conference on Human Factors in Computing Systems (CHI), Honolulu, HI, US, April 2020 (bib) |
Cognitive biases can consciously and subconsciously affect the way we store and recall previously learned information. In the use case of mobile learning, biases such as the Negative Suggestion Effect (NSE) can make us think a statement is correct because we wrongfully selected it in a previous multiple-choice test. In some cases, the suggestion effect is so persistent that even corrections can not stop us from drawing assumptions based on the misinformation we once learned. This effect is called the Continued Influence Bias (CIB). To avoid the creation of such incorrect and sometimes persistent memories, learning applications need to be designed carefully. In this position paper, we discuss the influence of the presented number of answer options, feedback, and lesson design on the strength of the NSE and CIB and provide recommendations for countermeasures. |