Lady Chatterley's Library

McKay, Dana; Twidale, Michael B.; Buchanan, George

doi:10.1145/3406522.3446032

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Marsyas (Music Analysis Retrieval and Synthesis For Audio Si...1

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2022

2024

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Cited by 2 publications

(2 citation statements)

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“…jAudio is a software package for audio feature extraction that is designed to make the process of feature calculation and extraction easier and faster. jAudio is a java-based software and it supports various types of outputs, such as XML format and the ARFF format [ 140 ].…”

Section: Marsyas (Music Analysis Retrieval and Synthesis For Audio Si...mentioning

confidence: 99%

A Large-Scale UAV Audio Dataset and Audio-Based UAV Classification Using CNN

Wang

Chu

et al. 2022

2022 Sixth IEEE International Conference on Robotic Computing (IRC)

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Section: Marsyas (Music Analysis Retrieval and Synthesis For Audio Si...mentioning

confidence: 99%

A Large-Scale UAV Audio Dataset and Audio-Based UAV Classification Using CNN

Wang

Chu

et al. 2022

2022 Sixth IEEE International Conference on Robotic Computing (IRC)

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“…Previous research has been hampered by limited methodologies. Whereas lab-based approaches fail to capture natural reading behavior (Kingstone et al, 2008;Mckay et al, 2021), self-reports can be biased by retrospective recall and the tendency to report socially desirable behavior (Smith and Stahl, 1999). The current study uses a novel method to address these limitations.…”

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confidence: 99%

Tracking e-reading behavior: uncovering the effects of task context, electronic experience, and motivation

Vuorinen,

Tatler,

Keller

2024

Front. Educ.

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Although electronic reading of fiction has become mainstream, little is known about how electronic texts are read, and whether this behavior is connected to readers’ motivation or experience reading electronically. To address this gap, sixty undergraduate students’ reading behavior was tracked while reading a 15-page short story. A novel method was used to study participants’ frequency of task-switching, their reading speed, and navigational patterns unobtrusively, outside of the lab. Reading behavior was analyzed by two multilevel models to assess (1) whether variance in behavior could be predicted by the task context, such as location in text or timing of reading sessions, and (2) whether behavior was connected to participants’ situational motivation to read the short story, their contextual motivation toward reading as an activity, or their task-relevant electronic experience. Our results showed that highly experienced and avid readers reacted to text difficulty more adaptively, indicating that motivation and electronic experience may have a key role in supporting comprehension. In contrast, situational motivation was not associated with reading behavior, contrary to our expectations. These findings provide a significant contribution to our understanding of e-reading, which can be used as a foundation to support recreational reading engagement on digital devices.

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Lady Chatterley's Library

Cited by 2 publications

References 61 publications

A Large-Scale UAV Audio Dataset and Audio-Based UAV Classification Using CNN

A Large-Scale UAV Audio Dataset and Audio-Based UAV Classification Using CNN

Tracking e-reading behavior: uncovering the effects of task context, electronic experience, and motivation

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