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ABSTRACT
Background and Context
Sports and technology are often pitted as being at odds with one another. While there are several educational activities that make reference to sports we seldom see sports used as an authentic context for learning computing. 相似文献2.
Charlotte Larmuseau Jan Cornelis Luigi Lancieri Piet Desmet Fien Depaepe 《British journal of educational technology : journal of the Council for Educational Technology》2020,51(5):1548-1562
To have insight into cognitive load (CL) during online complex problem solving, this study aimed at measuring CL through physiological data. This study experimentally manipulated intrinsic and extraneous load of exercises in the domain of statistics, resulting in four conditions: high complex with hints, low complex with hints, high complex without hints and low complex without hints. The study had a within-subject-design in which 67 students solved the exercises in a randomized order. Self-reported CL was combined with physiological data, namely, galvanic skin response (GSR), skin temperature (ST), heart rate (HR) and heart rate variability (HRV). Multiple imputation was used for handling missing data from resp. 16 and 19 students for GSR/ST and HR/HRV. First, differences between conditions in view of physiological data were examined. Second, we investigated how much variance of self-reported CL and task performance was explained by physiological data. Finally, we investigated which features can be used to assess (objective) CL. Results revealed no significant differences between the manipulated conditions in terms of physiological data. Nonetheless, HR and ST were significantly related to self-reported CL, whereas ST to task performance. Additionally, this study revealed the potential of ST and HR to assess high CL. 相似文献
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B.T. Van Oeveren M.J.M. Hoozemans P.J. Beek J.H. Van Dieën 《Journal of sports sciences》2013,31(17):1996-2006
ABSTRACTThe purpose of the present study was to identify factors that underlie differences among runners in stride frequency (SF) as a function of running speed. Participants (N = 256; 85.5% males and 14.5% females; 44.1 ± 9.8 years; 181.4 ± 8.4 cm; 75.3 ± 10.6 kg; mean ± SD) shared their wearable data (?Garmin Inc). Individual datasets were filtered to obtain representative relationships between stride frequency (SF) and speed per individual, representing in total 16.128 h of data. The group relationship between SF (72.82 to 94.73 strides · min?1) and running speed (V) (from 1.64 to 4.68 m · s?1) was best described with SF = 75.01 + 3.006 V. A generalised linear model with random effects was used to determine variables associated with SF. Variables and their interaction with speed were entered in a stepwise forward procedure. SF was negatively associated with leg length and body mass and an interaction of speed and age indicated that older runners use higher SF at higher speed. Furthermore, run frequency and run duration were positively related to SF. No associations were found with injury incidence, athlete experience or performance. Leg length, body mass, age, run frequency and duration were associated with SFs at given speeds.KEY POINTS
On a group level, stride frequency can be described as a linear function of speed: SF (strides · min?1) = 75.01+ 3.006·speed (m · s?1) within the range of 1.64 to 4.68 m · s?1.
On an individual level, the SF-speed relation is best described with a second order polynomial.
Leg length and body mass were positively related to stride frequency while age was negatively related to stride frequency.
Run frequency and run duration were positively related to stride frequency, while running experience, performance and injury incidence were unrelated.
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From the first studies of wearables inside MIT’s Media Lab decades ago to the smartwatches and smartglasses sold these days as consumer devices, wearables provide clues to better understand new paths to record and distribute information. Google Glass was one of the first immersive products, allowing users to capture and stream information to the Web, creating screen-based micro-interactions displayed in front of the user’s eye or sent to their smartphone. The first-person perspective is not new, but network-enabled Glass creates a novel state of streamed information and images, potentially making the journalist an avatar of the audience. Possibilities also lay in the development of Glass-specific ambient or calm communications—providing users with seamless information updates. Our study explores how Glass, attached to the head of the journalist-broadcaster, creates alternative behaviours in those captured due to its almost-invisible camera. These and other aspects of Glass will be explored during this paper, recalling experiences made across multiple test beds in the United Kingdom, Porto Alegre, Brazil and the Sahara Desert. The lessons acquired from these experiences allow us to understand not only new ways to inform, but new relationships between journalists, newsrooms and the public. 相似文献
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Wearable devices introduce many new capabilities to the delivery of healthcare. But wearables also pose grave privacy risks. Furthermore, information overload gets in the way of informed consent by the patient. To better protect American patients in an increasingly digital world, the U.S. Congress passed the Health Insurance Portability and Accountability Act of 1996 (HIPAA). This article examines the adequacy of HIPAA vis-à-vis issues raised by wearable technologies in the Internet of Things environment and identifies policy gaps and factors that drive health data exposure. It presents a 2 × 2 Partnership-Identity Exposure Matrix, illustrates implications in four different contexts, and provides recommendations for improving privacy protection. 相似文献
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