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Technology can enhance memory if it is used consistently with principles that help us remember. Thoughtfully taking pictures or videos at opportune moments can orient us to what is interesting and ...
In information science, the term is often written as "sense-making". In both cases, the concept has been used to bring together insights drawn from philosophy, sociology, and cognitive science (especially social psychology). Sensemaking research is therefore often presented as an interdisciplinary research programme.
Open Mind Common Sense (OMCS) is an artificial intelligence project based at the Massachusetts Institute of Technology (MIT) Media Lab whose goal is to build and utilize a large commonsense knowledge base from the contributions of many thousands of people across the Web.
Commonsense knowledge can underpin a commonsense reasoning process, to attempt inferences such as "You might bake a cake because you want people to eat the cake." A natural language processing process can be attached to the commonsense knowledge base to allow the knowledge base to attempt to answer questions about the world. [2]
Sensemaking or sense-making is the process by which people give meaning to their collective experiences. It has been defined as "the ongoing retrospective development of plausible images that rationalize what people are doing" ( Weick, Sutcliffe, & Obstfeld, 2005, p. 409 ).
Commonsense knowledge is "real world knowledge that can provide a basis for additional knowledge to be gathered and interpreted automatically". [4] The commonsense world consists of "time, space, physical interactions, people, and so on". [1] Common sense is "all the knowledge about the world that we take for granted but rarely state out loud". [5]
Human bycatch (or human by-catch) is a term for people who are unintentionally caught on film, in photos, or acoustically recorded on equipment used to monitor wildlife or habitats for the purpose of conservation, or environmental law enforcement.
Affection influences learners' learning state. Using affective computing technology, computers can judge the learners' affection and learning state by recognizing their facial expressions. In education, the teacher can use the analysis result to understand the student's learning and accepting ability, and then formulate reasonable teaching plans.