Due to difficulty in early diagnosis of Alzheimer’s disease (AD) related to cost and differentiated capability, it is necessary to identify low-cost, accessible, and reliable tools for identifying AD risk in the preclinical stage. We hypothesized that cognitive ability, as expressed in the vocal features in daily conversation, is associated with AD progression. Thus, we … Continue reading #Dementia risks identified by vocal features via #telephone conversations: A novel machine learning prediction model
Positive social connections improve wellbeing. Technology increasingly affords a wide variety of media that people can use to connect with others, but not all media strengthen social connection equally. Optimizing wellbeing, therefore, requires choosing how to connect with others wisely. We predicted that people’s preferences for communication media would be at least partly guided by … Continue reading It’s surprisingly nice to hear you: Misunderstanding the impact of #communication media can lead to suboptimal choices of how to connect with others.