scholarly journals Visuelle vendinger i videoanalyse: Transkripsjon i møte med barnehagens marginaliserte og målbundne materialiteter

2021 ◽  
pp. 55-78
Author(s):  
Trine Telnes
Keyword(s):  
Speech Acts ◽  
Research Question ◽  
Video Recording ◽  
Social Science Research ◽  
Data Generation ◽  
Academic Texts ◽  
Textual Representations ◽  
Video Recordings ◽  
Video Research ◽  
Words And Images

This chapter is a methodological and ethical examination of the following research question: How does one transcribe and analyze the presence and practices of the kindergarten’s youngest children, and other human and non-human actors, in a way that shows their agency and contributions? Video recording is a common method of data generation in social science research and poses the challenge of bringing the audiovisual data into academic texts. Traditionally, video recordings are transformed into pure textual representations called transcription. In particular, it is often the audible speech acts that inform the transcription and analysis, at the expense of the visuals in the video recordings. The embodied, experiential, aesthetic, material and multimodal can be difficult to present through written language alone. The significance of materiality, nonverbal behavior and bodily interaction is enhanced with one- and two-year-old children, whose expressions are often dominated by the nonverbal. Through examples from pedagogical video research in kindergarten, the author explores how different ways of transcribing and analyzing video can visualize the presence, interactions, and practices of the youngest children, the kindergarten teachers and other actors. A visual turn toward poetic video-transcription, multimodal transcription, and a hybrid between drawings and transcription the researcher has named ‘cartoon transcription’, helps to limit marginalization of the different actors and their multifaceted contributions. Breaking the hegemony of the word over the visual can make bodily, spatial, and material resources visible. A fusion of words and images can produce new forms of knowledge, contribute to a high epistemological standard and provide transparency.

Effects of Time and Perceptual Orientation on Actors' and Observers' Attributions

1984 ◽  
Vol 58 (1) ◽  
pp. 23-30
Author(s):  
Donald S. Martin ◽  
Ming-Shiunn Huang
Keyword(s):  
Video Recording ◽  
Control Group ◽  
Control Groups ◽  
Video Recordings ◽  
Before And After ◽  
Perceptual Orientation ◽  
Initial Difference ◽  
Variety Show ◽  
And Control ◽  
Unrelated Variety

The actor/observer effect was examined by Storms in a 1973 study which manipulated perceptual orientation using video recordings. Storms' study was complex and some of his results equivocal. The present study attempted to recreate the perceptual reorientation effect using a simplified experimental design and an initial difference between actors and observers which was the reverse of the original effect. Female undergraduates performed a motor co-ordination task as actors while watched by observers. Each person made attributions for the actor's behaviour before and after watching a video recording of the performance. For a control group the video recording was of an unrelated variety show excerpt. Actors' initial attributions were less situational than observers'. Both actors and observers became more situational after the video replay but this effect occurred in both experimental and control groups. It was suggested the passage of time between first and second recording of attributions could account for the findings and care should be taken when interpreting Storms' (1973) study and others which did not adequately control for temporal effects.

INITIAL STEP OF SPECIALIZED CORPORA BUILDING: CLEANING PROCEDURES

2020 ◽  
Author(s):  
Vera Yakubson ◽  
Victor Zakharov
Keyword(s):  
Text Processing ◽  
Research Question ◽  
Initial Step ◽  
Main Research ◽  
Academic Texts ◽  
Linguistic Annotation ◽  
Significant Difference ◽  
Cleaning Procedures ◽  
Unique Source ◽  
Future Work

This paper deals with the specialized corpora building, specifically academic language corpus in the biotechnology field. Being a part of larger research devoted to creation and usage of specialized parallel corpus, this piece aims to analyze the initial step of corpus building. Our main research question was what procedures we need to implement to the texts before using them to develop the corpus. Analysis of previous research showed the significant quantity of papers devoted to corpora creation, including academic specialized corpora. Different sides of the process were analyzed in these researches, including the types of texts used, the principles of crawling, the recommended length of texts etc. As to the text processing for the needs of corpora creation, only the linguistic annotation issues were examined earlier. At the same time, the preliminary cleaning of texts before their usage in corpora may have significant influence on the corpus quality and its utility for the linguistic research. In this paper, we considered three small corpora derived from the same set of academic texts in the biotechnology field: “raw” corpus without any preliminary cleaning and two corpora with different level of cleaning. Using different Sketch Engine tools, we analyzed these corpora from the position of their future users, predominantly as sources for academic wordlists and specialized multi-word units. The conducted research showed very little difference between two cleaned corpora, meaning that only basic cleaning procedures such as removal of reference lists are can be useful in corpora design. At the same time, we found a significant difference between raw and cleaned corpora and argue that this difference can affect the quality of wordlists and multi-word terms extraction, therefore these cleaning procedures are meaningful. The main limitation of the study is that all texts were taken from the unique source, so the conclusions could be affected by this specific journal’s peculiarities. Therefore, the future work should be the verification of results on different text collections

QUALITATIVE CHANGES IN RHYTHMIC GYMNASTICS HOOP THROWS FROM THE PERSPECTIVE OF BIOMECHANICAL ANALYSIS

2020 ◽  
pp. 1-8
Author(s):  
Raluca Tanasa
Keyword(s):  
Correlation Coefficient ◽  
Video Recording ◽  
Biomechanical Analysis ◽  
Fundamental Groups ◽  
Horizontal Distance ◽  
Video Recordings ◽  
Rhythmic Gymnastics ◽  
Female Gymnasts ◽  
Execution Technique ◽  
Qualitative Changes

Throws and catches in rhythmic gymnastics represent one of the fundamental groups of apparatus actuation. They represent for the hoop actions of great showmanship, but also elements of risk. The purpose of this paper is to improve the throw execution technique through biomechanical analysis in order to increase the performance of female gymnasts in competitions. The subjects of this study were 8 gymnasts aged 9-10 years old, practiced performance Rhythmic Gymnastics. The experiment consisted in video recording and the biomechanical analysis of the element “Hoop throw, step jump and catch”. After processing the video recordings using the Simi Motion software, we have calculated and obtained values concerning: launch height, horizontal distance and throwing angle between the arm and the horizontal. Pursuant to the data obtained, we have designed a series of means to improve the execution technique for the elements comprised within the research and we have implemented them in the training process. Regarding the interpretation of the results, it may be highlighted as follows: height and horizontal distance in this element have values of the correlation coefficient of 0.438 and 0.323, thus a mean significance of 0.005. The values of the arm/horizontal angle have improved for all the gymnasts, the correlation coefficient being 0.931, with a significance of 0.01. As a general conclusion, after the results obtained, it may be stated that the means introduced in the experiment have proven their efficacy, which has led to the optimisation of the execution technique, thus confirming the research hypothesis.

scholarly journals Has the Credibility of the Social Sciences Been Credibly Destroyed? Reanalyzing the “Many Analysts, One Data Set” Project

2021 ◽  
Vol 7 ◽  
pp. 237802312110244
Author(s):  
Katrin Auspurg ◽  
Josef Brüderl
Keyword(s):  
Social Sciences ◽  
Causal Reasoning ◽  
Research Question ◽  
Social Science Research ◽  
Science Research ◽  
Skin Tone ◽  
Data Set ◽  
The Social ◽  
The Many ◽  
Definition Of

In 2018, Silberzahn, Uhlmann, Nosek, and colleagues published an article in which 29 teams analyzed the same research question with the same data: Are soccer referees more likely to give red cards to players with dark skin tone than light skin tone? The results obtained by the teams differed extensively. Many concluded from this widely noted exercise that the social sciences are not rigorous enough to provide definitive answers. In this article, we investigate why results diverged so much. We argue that the main reason was an unclear research question: Teams differed in their interpretation of the research question and therefore used diverse research designs and model specifications. We show by reanalyzing the data that with a clear research question, a precise definition of the parameter of interest, and theory-guided causal reasoning, results vary only within a narrow range. The broad conclusion of our reanalysis is that social science research needs to be more precise in its “estimands” to become credible.

Spatial-temporal variables for swimming coaches: A comparison study between video and TritonWear sensor

2021 ◽  
pp. 174795412110137
Author(s):  
Robin Pla ◽  
Thibaut Ledanois ◽  
Escobar David Simbana ◽  
Anaël Aubry ◽  
Benjamin Tranchard ◽  
...  
Keyword(s):  
Swimming Performance ◽  
Video Recording ◽  
Open Water ◽  
Percentage Error ◽  
Stroke Index ◽  
Wearable Sensor ◽  
Stroke Length ◽  
Video Recordings ◽  
Temporal Variables ◽  
Training Sets

The main aim of this study was to evaluate the validity and the reliability of a swimming sensor to assess swimming performance and spatial-temporal variables. Six international male open-water swimmers completed a protocol which consisted of two training sets: a 6×100m individual medley and a continuous 800 m set in freestyle. Swimmers were equipped with a wearable sensor, the TritonWear to collect automatically spatial-temporal variables: speed, lap time, stroke count (SC), stroke length (SL), stroke rate (SR), and stroke index (SI). Video recordings were added as a “gold-standard” and used to assess the validity and the reliability of the TritonWear sensor. The results show that the sensor provides accurate results in comparison with video recording measurements. A very high accuracy was observed for lap time with a mean absolute percentage error (MAPE) under 5% for each stroke (2.2, 3.2, 3.4, 4.1% for butterfly, backstroke, breaststroke and freestyle respectively) but high error ranges indicate a dependence on swimming technique. Stroke count accuracy was higher for symmetric strokes than for alternate strokes (MAPE: 0, 2.4, 7.1 & 4.9% for butterfly, breaststroke, backstroke & freestyle respectively). The other variables (SL, SR & SI) derived from the SC and the lap time also show good accuracy in all strokes. The wearable sensor provides an accurate real time feedback of spatial-temporal variables in six international open-water swimmers during classical training sets (at low to moderate intensities), which could be a useful tool for coaches, allowing them to monitor training load with no effort.

scholarly journals Using video in childbirth research

2015 ◽  
Vol 24 (2) ◽  
pp. 177-189 ◽  
Author(s):  
J Davis Harte ◽  
Caroline SE Homer ◽  
Athena Sheehan ◽  
Nicky Leap ◽  
Maralyn Foureur
Keyword(s):  
Video Recording ◽  
Research Process ◽  
Ethics Committee ◽  
Ethnographic Study ◽  
Australian Health ◽  
Healthcare Settings ◽  
Video Research ◽  
Unit Design ◽  
Ethical Approval ◽  
Randomised Controlled

Background: Conducting video-research in birth settings raises challenges for ethics review boards to view birthing women and research-midwives as capable, autonomous decision-makers. Aim: This study aimed to gain an understanding of how the ethical approval process was experienced and to chronicle the perceived risks and benefits. Research design: The Birth Unit Design project was a 2012 Australian ethnographic study that used video recording to investigate the physical design features in the hospital birthing space that might influence both verbal and non-verbal communication and the experiences of childbearing women, midwives and supporters. Participants and research context: Six women, 11 midwives and 11 childbirth supporters were filmed during the women’s labours in hospital birth units and interviewed 6 weeks later. Ethical considerations: The study was approved by an Australian Health Research Ethics Committee after a protracted process of negotiation. Findings: The ethics committee was influenced by a traditional view of research as based on scientific experiments resulting in a poor understanding of video-ethnographic research, a paradigmatic view of the politics and practicalities of modern childbirth processes, a desire to protect institutions from litigation, and what we perceived as a paternalistic approach towards protecting participants, one that was at odds with our aim to facilitate situations in which women could make flexible, autonomous decisions about how they might engage with the research process. Discussion: The perceived need for protection was overly burdensome and against the wishes of the participants themselves; ultimately, this limited the capacity of the study to improve care for women and babies. Conclusion: Recommendations are offered for those involved in ethical approval processes for qualitative research in childbirth settings. The complexity of issues within childbirth settings, as in most modern healthcare settings, should be analysed using a variety of research approaches, beyond efficacy-style randomised controlled trials, to expand and improve practice-based results.

Shared leadership and team creativity: a team level mixed-methods study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lei Xie ◽  
Soo Jeoung Han ◽  
Michael Beyerlein ◽  
Jiacheng Lu ◽  
Lillian Vukin ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Shared Leadership ◽  
Structural Equation ◽  
Research Question ◽  
Self Report ◽  
Equation Modeling ◽  
Team Creativity ◽  
Content Type ◽  
Video Recordings ◽  
Multi Level

Purpose This paper aims to conduct two studies to investigate shared leadership and team creativity (TC) in leaderless short-term project teams (STPTs). Design/methodology/approach To answer the research question, this paper used a multi-level mixed-methods design. This paper analyzed video recordings, transcripts of STPTs’ collaboration and self-report surveys from an international engineering competition. In Study 1, this paper attempted to connect relation-oriented shared leadership (ROSL) and task-oriented shared leadership (TOSL) with TC by coding video recordings. In Study 2, this paper further investigated the proposed positive relationship between shared leadership and TC by surveying a sample of 166 students in 51 teams. Findings In Study 1, this paper found that shared leadership covaries with TC following a similar behavioral pattern. In Study 2, multi-level structural equation modeling results suggested that both TOSL and ROSL are positively correlated with TC. Originality/value In this mixed-methods multi-level research, this paper found that when the team’s shared leadership increases, their TC activity becomes frequent. This paper confirmed the qualitative finding by quantitatively investigated the relationship between shared leadership and creativity at the team level.

scholarly journals Speech Acts Analysis on Teaching and Learning Process Used by the Teacher in MAN 2 Mataram in Academic Year 2016-2017

2019 ◽  
Vol 5 (1) ◽  
pp. 46
Author(s):  
Yulia Isnaini
Keyword(s):  
Learning Process ◽  
Speech Acts ◽  
Teaching And Learning ◽  
Speech Act ◽  
Video Recording ◽  
Video Camera ◽  
Coding System ◽  
Perlocutionary Act ◽  
Academic Year ◽  
Research Show

This study was aimed at finding out Speech Acts Analysis on Teaching andLearning Process used by the Teacher in MAN 2 Mataram in Academic year 2016/2017. The method of this research is qualitative research The data of this research were the utterances performed by the Teachers of MAN 2 Mataram. The research instrument was the researcher himself. Participant is the subject from which the data obtained (Arikunto, 2010: 172)The Researcher’s participant actively classification speech act by the Teachers on teaching and learning process.T he instrument of data by using video camera and observation. To analyze the data Based on Louis (2005:181). This study used observation and video recording as an instrument of data collection, the researcher applied coding system. In this research, there are two validity principles applied by the researcher. The results of the research show that there are three classifications of speech act performed by the Teachers in the aching and learning process . The results of the research show that there are three classification of speech act performed by the Teachers in the aching and learning process. they are 4 data of locutionary act , 30 data of Illucotionary act, 7 data of Perlocutionary act . So the total of data were 41 data of speech act are used By the Teachers in MAN 2 Mataram.

scholarly journals FaceSync: Open source framework for recording facial expressions with head-mounted cameras

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 702 ◽  
Author(s):  
Jin Hyun Cheong ◽  
Sawyer Brooks ◽  
Luke J. Chang
Keyword(s):  
Facial Expression ◽  
Open Source ◽  
Facial Expressions ◽  
Video Recording ◽  
Machine Learning Algorithms ◽  
Expression Data ◽  
Video Recordings ◽  
Automated Method ◽  
Open Source Framework ◽  
The Cost

Advances in computer vision and machine learning algorithms have enabled researchers to extract facial expression data from face video recordings with greater ease and speed than standard manual coding methods, which has led to a dramatic increase in the pace of facial expression research. However, there are many limitations in recording facial expressions in laboratory settings.  Conventional video recording setups using webcams, tripod-mounted cameras, or pan-tilt-zoom cameras require making compromises between cost, reliability, and flexibility. As an alternative, we propose the use of a mobile head-mounted camera that can be easily constructed from our open-source instructions and blueprints at a fraction of the cost of conventional setups. The head-mounted camera framework is supported by the open source Python toolbox FaceSync, which provides an automated method for synchronizing videos. We provide four proof-of-concept studies demonstrating the benefits of this recording system in reliably measuring and analyzing facial expressions in diverse experimental setups, including group interaction experiments.

scholarly journals Confronting Deep-Learning and Biodiversity Challenges for Automatic Video-Monitoring of Marine Ecosystems

Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 497
Author(s):  
Sébastien Villon ◽  
Corina Iovan ◽  
Morgan Mangeas ◽  
Laurent Vigliola
Keyword(s):  
Deep Learning ◽  
Data Augmentation ◽  
Low Cost ◽  
Video Recording ◽  
Species Abundance ◽  
Automatic Monitoring ◽  
Training Dataset ◽  
Data Generation ◽  
Automatic Assessment ◽  
Open Set

With the availability of low-cost and efficient digital cameras, ecologists can now survey the world’s biodiversity through image sensors, especially in the previously rather inaccessible marine realm. However, the data rapidly accumulates, and ecologists face a data processing bottleneck. While computer vision has long been used as a tool to speed up image processing, it is only since the breakthrough of deep learning (DL) algorithms that the revolution in the automatic assessment of biodiversity by video recording can be considered. However, current applications of DL models to biodiversity monitoring do not consider some universal rules of biodiversity, especially rules on the distribution of species abundance, species rarity and ecosystem openness. Yet, these rules imply three issues for deep learning applications: the imbalance of long-tail datasets biases the training of DL models; scarce data greatly lessens the performances of DL models for classes with few data. Finally, the open-world issue implies that objects that are absent from the training dataset are incorrectly classified in the application dataset. Promising solutions to these issues are discussed, including data augmentation, data generation, cross-entropy modification, few-shot learning and open set recognition. At a time when biodiversity faces the immense challenges of climate change and the Anthropocene defaunation, stronger collaboration between computer scientists and ecologists is urgently needed to unlock the automatic monitoring of biodiversity.

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