The Effect of Feedback on Attention Allocation in Category Learning: An Eye Tracking Study

Arbel, Yael; Feeley, Emily; He, Xinping

doi:10.3389/fpsyg.2020.559334

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…In the task-comparison, the H0 hypothesis is rejected multiple times, roughly in half of all comparisons. These results are consistent with the research regarding the effect of feedback, being that feedback can be both influential (e.g., Arbel et al (2020); Hattie & Timperley (2007)) and noninfluential (Kluger & DeNisi, 1996). The simplest reason for this phenomenon is that the feedback of a chatbot does not have an equal influence on the attention of human, as humans do not react untimely to stimuli.…”

Section: Discussion and Limitationssupporting

confidence: 90%

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How can an educational chatbot’s feedback influence human attention?

Sylvester,

Le,

Soekadar

2023

RPTEL

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Educational chatbots have been shown to be useful assistants in computer-supported learning settings. However, how does feedback of an educational chatbot impact on the learner’s attention? Thus, this paper proposes a study to measure changes in human attention when learning by using an educational chatbot Liza that is intended to improve human reasoning ability. In total, 18 participants participated in the study and had a conversation with Liza. During the interaction with Liza, the attention of the study participants was measured using a mobile electroencephalogram (EEG) device. Three findings have been determined based on statistics methods. First, it was found that there was a significant attention effect occurring in 54% of the times, after the educational chatbot showed feedback and the attention measurement took place over the length of a task. Second, when differentiating the type of feedback, positive feedback had a significant effect in 71 of these 137 cases (51.82%) and negative feedback had a significant effect in 66 of the 137 cases (48.18%). Third, statistical results showed that there was no significant difference in attention at the significant level of 0.05 during the 10 seconds before, and 10 seconds after positive feedback is received. Similar is the case for negative feedback.

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Section: Discussion and Limitationssupporting

confidence: 90%

“…The H1 hypothesis is supported by the research of Arbel et al (2020) in psychology. To reject either the H0 or H1 hypotheses, it is mandatory to measure two variables: the feedback of the educational chatbot and the human attention of a person that is talking to the chatbot.…”

Section: Methodsmentioning

confidence: 79%