"Did you sleep well?":A Multimodal Sleep Diary for Sustained Self-Reporting by Children

Sleep diaries are essential self-reporting tools for understanding children’s sleep patterns, but maintaining sustained engagement and high-quality self-reporting remains challenging. While voice input has been explored in child-computer interaction research as a method to improve engagement, limited evidence exists regarding its effectiveness in supporting sustained self-reporting over time. To address this gap, we conducted a five-day field study with 20 children aged seven to twelve, using a multimodal sleep diary that integrated both voice and text input modalities. Our findings reveal that voice input significantly supports younger children in maintaining engagement over five days, though their response quality remains lower than that of older children. Two distinct response quality patterns over time also emphasize the importance of accounting for individual differences in task performance. Furthermore, input modality preferences varied by age: older children consistently favored text input, while younger children generally preferred voice input over time. These results highlight the potential of incorporating voice input into text-based sleep diaries to better accommodate the diverse needs of children, enhancing both sustained engagement and response quality. Future studies with longer observation periods are needed to validate and extend these findings

Effect of predicted protein-truncating genetic variants on the human transcriptome

Expression, genetic variation, and tissues Human genomes show extensive genetic variation across individuals, but we have only just started documenting the effects of this variation on the regulation of gene expression. Furthermore, only a few tissues have been examined per genetic variant. In order to examine how genetic expression varies among tissues within individuals, the Genotype-Tissue Expression (GTEx) Consortium collected 1641 postmortem samples covering 54 body sites from 175 individuals. They identified quantitative genetic traits that affect gene expression and determined which of these exhibit tissue-specific expression patterns. Melé et al. measured how transcription varies among tissues, and Rivas et al. looked at how truncated protein variants affect expression across tissues. Science , this issue p. 648 , p. 660 , p. 666 ; see also p. 640 </jats:p