Though the emerging live streaming industry has attracted growing attention,the dominant yanzhi category where streamers mostly interact with the audience through amateur talent shows and casual chats has not been wid...Though the emerging live streaming industry has attracted growing attention,the dominant yanzhi category where streamers mostly interact with the audience through amateur talent shows and casual chats has not been widely investigated.To decode the mechanism behind the popularity of yanzhi streamers,this study draws on Dual Coding Theory(DCT)to posit that age estimated from a streamer’s face and voice can influence the level of viewer engagement.To validate our hypothesized relationships,274 one-minute video records ahead of a viewer commenting or/and gifting were collected and analyzed via deep learning algorithms.Analytical results attest to the negative effects of both facial and vocal age on viewer engagement,while their interaction has a positive impact on viewer engagement.展开更多
Guided by relevant learning theories and based on the analysis of the attributes of captioned video, the Chinese ESL learners＇ characteristics and the characteristics of ESL learning itself, the paper tries to propos...Guided by relevant learning theories and based on the analysis of the attributes of captioned video, the Chinese ESL learners＇ characteristics and the characteristics of ESL learning itself, the paper tries to propose a model of integrating captioned video in ESL acquisition process. The model focuses on the feasibility of using captioned video to facilitate or support ESL learning.展开更多
文摘Though the emerging live streaming industry has attracted growing attention,the dominant yanzhi category where streamers mostly interact with the audience through amateur talent shows and casual chats has not been widely investigated.To decode the mechanism behind the popularity of yanzhi streamers,this study draws on Dual Coding Theory(DCT)to posit that age estimated from a streamer’s face and voice can influence the level of viewer engagement.To validate our hypothesized relationships,274 one-minute video records ahead of a viewer commenting or/and gifting were collected and analyzed via deep learning algorithms.Analytical results attest to the negative effects of both facial and vocal age on viewer engagement,while their interaction has a positive impact on viewer engagement.
文摘Guided by relevant learning theories and based on the analysis of the attributes of captioned video, the Chinese ESL learners＇ characteristics and the characteristics of ESL learning itself, the paper tries to propose a model of integrating captioned video in ESL acquisition process. The model focuses on the feasibility of using captioned video to facilitate or support ESL learning.
