Social Science Research Network (SSRN) Home Page Extracting audio from visual information Researchers at MIT, Microsoft, and Adobe have developed an algorithm that can reconstruct an audio signal by analyzing minute vibrations of objects depicted in video. In one set of experiments, they were able to recover intelligible speech from the vibrations of a potato-chip bag photographed from 15 feet away through soundproof glass. In other experiments, they extracted useful audio signals from videos of aluminum foil, the surface of a glass of water, and even the leaves of a potted plant. “When sound hits an object, it causes the object to vibrate,” says Abe Davis, a graduate student in electrical engineering and computer science at MIT and first author on the new paper. Joining Davis on the Siggraph paper are Frédo Durand and Bill Freeman, both MIT professors of computer science and engineering; Neal Wadhwa, a graduate student in Freeman’s group; Michael Rubinstein of Microsoft Research, who did his PhD with Freeman; and Gautham Mysore of Adobe Research. Commodity hardware
Bağımsız Sosyal Bilimciler 6 Critical Thinking Skills You Need to Master Now Critical thinking skills are extremely important in developing a successful career. Have you heard that before? Chances are you’ve heard it many times, such as when you began applying for your first job or maybe when you were passed over for a promotion. Whenever it was, there is usually one problem. They never tell you what critical skills are, why you need them or how to get them! College students and young professionals alike are flooded with advice on why they need to develop these skills. In an effort to help you make sense of it all and finally get some answers, I broke down the six core critical thinking skills you need for your career to help you both understand why you need them and how you can develop them. Identifying a list of skills critical to your professional career is not as easy as it may seem. Skill #1: Interpretation Throughout your career you will be presented with a variety of information in many different types of situations. Skill #2: Analysis Skill #3: Inference
International Network for Social Network Analysis The Experience of interactive art: a curatorial study Abstract: Interactive art exists through the participation of its audience. There is an increasing awareness amongst artists, critics and curators that the audience's experience is of central importance to the understanding, creation and exhibition of interactive art. Because of its emphasis on experience and participation, as well as engagement with science and technology, interactive art offers challenges and opportunities for curatorial practice in museums and galleries.
Research on Money and Finance Research material | Affective Sciences On this page we propose research materials and tools that we are willing to share, free of charge, with qualified emotion researchers, irrespective of their discipline, for use in non-commercial research projects. We have developed, validated and published a number of instruments to test emotion recognition ability in different modalities. Many of these instruments are shared with qualified researchers. We have also developed a research corpus with many major emotions enacted by professional actors, using affect induction procedures – the Geneva Multimodal Emotion Portrayals (GEMEP), recorded on high quality video. Below we list materials and tools for emotion research in general, developed in the course of our earlier research, that are currently available for downloading. 1. GAQ English versionGAQ Version FrançaiseGAQ Deutsche Version 2. 3. This file provides over one hundred lexical labels for affective states and emotions in English, French, German, Italian, and Spanish. 4. 5. 6. 7.
Research Blogging April 2013: Ethnomining and the combination of qualitative & quantitative data Image from Fabien Girardin After the two previous editions (Openness and Stories to action), it’s now time for our April edition on combining qualitative and quantitative data. While ethnography generally draws on qualitative data, it does not not mean that quantitative approaches shouldn’t be employed in the research process. Combining the two leads to a “mixed-method approach” that can take various forms: data collection and analysis can be either separated or addressed together, and each of them can be used in service of the other. Of course, this isn’t new in academic circles and corporate ethnography but there seems to be a renewed interest lately in this topic. One of the driving forces of this renewed interest is the huge amount of information produced by people, things, space and their interactions — what some have called “Big Data“. Although most of the work of Big Data has focused on quantitative analysis, it is interesting to observe how ethnographers relate to it.
New Books in Sociology — Just another New Books Network podcast What is Subjective Well-Being? Understanding and Measuring Subjective Well-Being Published: 2010-01-16 Brian Albuquerque Subjective well-being (SWB) is defined as ‘a person’s cognitive and affective evaluations of his or her life’ (Diener, Lucas, & Oshi, 2002, p. 63). The cognitive element refers to what one thinks about his or her life satisfaction in global terms (life as a whole) and in domain terms (in specific areas of life such as work, relationships, etc.) The affective element refers to emotions, moods and feelings. The Concept of Subjective Well-Being A person who has a high level of satisfaction with their life, and who experiences a greater positive affect and little or less negative affect, would be deemed to have a high level of SWB [or in simpler terms, be very happy]. The concept of SWB falls within the ‘hedonic’ perspective that defines well-being or happiness as being fundamentally about maximising pleasure and avoiding or minimizing pain. Measuring Subjective Well-Being The three components of SWB are: life satisfactionpositive affectnegative affect