High level visual and paralinguistic features extraction and their correlation with user engagement

2015 ◽  
Author(s):  
Fasih Haider ◽  
Fahim A. Salim ◽  
Saturnino Luz ◽  
Owen Conlan ◽  
Nick Campbell
Keyword(s):  
Features Extraction ◽  
User Engagement ◽  
High Level

scholarly journals Person Re-Identification Based on Attention Mechanism and Context Information Fusion

2021 ◽  
Vol 13 (3) ◽  
pp. 72
Author(s):  
Shengbo Chen ◽  
Hongchang Zhang ◽  
Zhou Lei
Keyword(s):  
Information Fusion ◽  
Irrelevant Information ◽  
Features Extraction ◽  
Attention Mechanism ◽  
Cross Entropy ◽  
Context Information ◽  
Feature Map ◽  
High Level ◽  
Surveillance Analysis ◽  
High Level Feature

Person re-identification (ReID) plays a significant role in video surveillance analysis. In the real world, due to illumination, occlusion, and deformation, pedestrian features extraction is the key to person ReID. Considering the shortcomings of existing methods in pedestrian features extraction, a method based on attention mechanism and context information fusion is proposed. A lightweight attention module is introduced into ResNet50 backbone network equipped with a small number of network parameters, which enhance the significant characteristics of person and suppress irrelevant information. Aiming at the problem of person context information loss due to the over depth of the network, a context information fusion module is designed to sample the shallow feature map of pedestrians and cascade with the high-level feature map. In order to improve the robustness, the model is trained by combining the loss of margin sample mining with the loss function of cross entropy. Experiments are carried out on datasets Market1501 and DukeMTMC-reID, our method achieves rank-1 accuracy of 95.9% on the Market1501 dataset, and 90.1% on the DukeMTMC-reID dataset, outperforming the current mainstream method in case of only using global feature.

scholarly journals User Engagement and User Design on Online Shopping Apps

2021 ◽  
Vol 10 (6) ◽  
pp. 3077-3083
Keyword(s):  
Mobile Phones ◽  
Online Shopping ◽  
User Engagement ◽  
User Design ◽  
Engagement Factors ◽  
High Level ◽  
App Design ◽  
Small Screen

Most people nowadays use mobile phones, and they do a lot of things with this device, including online shopping through an app since it saves a lot of time, and they can choose a broad range of products even with just a small screen. User engagement is one of the factors that affect the design of an app. Referring to the quality of the user that emphasizes the interaction between the user and the app. Numerous studies internationally have studied user engagement and app design but not specifically with the user engagement towards shopping apps design. We conducted this study to assess the effectiveness of user engagement towards online shopping apps design. Also, the purpose of this study is to identify user engagement factors that will produce a successful good shopping app design. The results show a high level of user engagement and online shopping apps design. It has also been found that among the indicators of user engagement, attention and satisfaction are the two predictors of the design of online shopping apps

scholarly journals Evaluating UX using a Metric Model: the Case of a Handheld Computing System in South Africa

2019 ◽  
Vol 8 (12S) ◽  
pp. 743-750
Keyword(s):  
South Africa ◽  
User Interface ◽  
Graphical User Interface ◽  
Computing System ◽  
User Needs ◽  
High Fidelity ◽  
User Engagement ◽  
Handheld Computing ◽  
Industry Standards ◽  
High Level

For most experienced graphical user interface (GUI) and interactive designers, succeeding in acquiring, maintaining, and guiding potential high-level user engagement and user experience (UX) at the first attempt is often a dream. It often takes many low- and high-fidelity prototypes to obtain the desired solution, if not abandoning the entire activity altogether, due to mounting pressure and disappointment after failing to satisfy user needs while maintaining industry standards and design principles. The challenges are often due to the absence of known, agreed-upon evaluation mechanisms that are known and acceptable to interactive designers. The aim of this paper is to introduce an instrument that can be used to measure and evaluate UX, which can be used at any time during the design process and limits the pressure interactive designers too often experience.

scholarly journals Quantified Flu: an individual-centered approach to gaining sickness-related insights from wearable data

2021 ◽  
Author(s):  
Bastian Greshake Tzovaras ◽  
Enric Senabre Hidalgo ◽  
Karolina Alexiou ◽  
Lukaz Baldy ◽  
Basille Morane ◽  
...  
Keyword(s):  
Tracking System ◽  
Large Population ◽  
Population Based ◽  
Wearable Devices ◽  
Sensor Data ◽  
User Engagement ◽  
Online Tool ◽  
Creation Process ◽  
Iterative Development ◽  
High Level

AbstractBackgroundWearables have been used widely for monitoring health in general and recent research results show that they can be used for predicting infections based on physiological symptoms. So far the evidence has been generated in large, population-based settings. In contrast, the Quantified Self and Personal Science communities are comprised of people interested in learning about themselves individually using their own data, often gathered via wearable devices.ObjectiveWe explore how a co-creation process involving a heterogeneous community of personal science practitioners can develop a collective self-tracking system to monitor symptoms of infection alongside wearable sensor data.MethodsWe engaged into a co-creation and design process with an existing community of personal science practitioners, jointly developing a working prototype of an online tool to perform symptom tracking. In addition to the iterative creation of the prototype (started on March 16, 2020), we performed a netnographic analysis, investigating the process of how this prototype was created in a decentralized and iterative fashion.ResultsThe Quantified Flu prototype allows users to perform daily symptom reporting and is capable of visualizing those symptom reports on a timeline together with the resting heart rate, body temperature and respiratory rate as measured by wearable devices. We observe a high level of engagement, with over half of the 92 users that engaged in the symptom tracking becoming regular users, reporting over three months of data each. Furthermore, our netnographic analysis highlights how the current Quantified Flu prototype is a result of an interactive and continuous co-creation process in which new prototype releases spark further discussions of features and vice versa.ConclusionsAs shown by the high level of user engagement and iterative development, an open co-creation process can be successfully used to develop a tool that is tailored to individual needs, decreasing dropout rates.

scholarly journals Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study (Preprint)

2021 ◽  
Author(s):  
Bastian Greshake Tzovaras ◽  
Enric Senabre Hidalgo ◽  
Karolina Alexiou ◽  
Lukaz Baldy ◽  
Basile Morane ◽  
...  
Keyword(s):  
Tracking System ◽  
Large Population ◽  
Population Based ◽  
Wearable Devices ◽  
Sensor Data ◽  
User Engagement ◽  
Quantified Self ◽  
Web Based ◽  
Iterative Development ◽  
High Level

BACKGROUND Wearables have been used widely for monitoring health in general, and recent research results show that they can be used to predict infections based on physiological symptoms. To date, evidence has been generated in large, population-based settings. In contrast, the Quantified Self and Personal Science communities are composed of people who are interested in learning about themselves individually by using their own data, which are often gathered via wearable devices. OBJECTIVE This study aims to explore how a cocreation process involving a heterogeneous community of personal science practitioners can develop a collective self-tracking system for monitoring symptoms of infection alongside wearable sensor data. METHODS We engaged in a cocreation and design process with an existing community of personal science practitioners to jointly develop a working prototype of a web-based tool for symptom tracking. In addition to the iterative creation of the prototype (started on March 16, 2020), we performed a netnographic analysis to investigate the process of how this prototype was created in a decentralized and iterative fashion. RESULTS The Quantified Flu prototype allowed users to perform daily symptom reporting and was capable of presenting symptom reports on a timeline together with resting heart rates, body temperature data, and respiratory rates measured by wearable devices. We observed a high level of engagement; over half of the users (52/92, 56%) who engaged in symptom tracking became regular users and reported over 3 months of data each. Furthermore, our netnographic analysis highlighted how the current Quantified Flu prototype was a result of an iterative and continuous cocreation process in which new prototype releases sparked further discussions of features and vice versa. CONCLUSIONS As shown by the high level of user engagement and iterative development process, an open cocreation process can be successfully used to develop a tool that is tailored to individual needs, thereby decreasing dropout rates. CLINICALTRIAL

scholarly journals Designing Call to Action: Users’ Perception of Different Characteristics

2021 ◽  
Author(s):  
Thomas Mejtoft ◽  
◽  
Jonathan Hedlund ◽  
Helen Cripps ◽  
Ulrik Söderström ◽  
...  
Keyword(s):  
Digital System ◽  
User Engagement ◽  
Call To Action ◽  
High Level ◽  
Different Characteristics

This paper aims to provide guidance when designing a call to action in a digital system with the purpose to create an intended feeling and user engagement. The paper is based on a test of four different simple call to action constructions. The users clearly prefer constructions that have a high explainability and feels intuitive. Hence, the design should have a high level of transparency and show the user straight away what it demands from the user and what the result of the action is. Furthermore, the design should have a high usability to make it clear how to use the call to action.

scholarly journals MODERN BUSINESS METRICS FOR EVALUATION OF EFFICIENCY OF MARKETING MEASURES

2021 ◽  
Vol 26 (1(86)) ◽  
Author(s):  
Taras Panchyshyn ◽  
Iryna Prokopovych-Pavlyuk
Keyword(s):  
Retention Rates ◽  
User Engagement ◽  
Time Dimension ◽  
Business Decisions ◽  
Stage Of Development ◽  
Modern Business ◽  
Marketing Activities ◽  
High Level ◽  
Business Metrics ◽  
The Cost

The article substantiates the need to use marketing analytics when planning marketing campaigns with the involvement of the maximum possible number of communication channels in a time dimension. The area of research is the search for effective business metrics used to assess the effectiveness of the implementation of marketing activities. The results of the study showed that at the present stage of development of analytical capabilities, traditional methods of selecting business metrics are changing and depend on the scope of business and the competitive environment, the channels of interaction with customers and their behavior. When choosing the correct metrics, analyst should take into account all the sources of the information, also who will use this data to draw conclusions and make business decisions. Thus, to analyze the performance of the website, we should determine the number of visits, conversion and retention rates. We can evaluate effectiveness of email campaigns by the proportion of open emails, the number of clicks, and return on investment. In the case of paid advertising analysts should estimate the quantity and cost of clicks, the number and value of potential customers. For effective management of marketing activities, it is advisable to use the following business metrics: the cost of attracting one consumer, the cost of the consumer throughout his/her life as a consumer of the company's products or services, the average monthly income per consumer and the proportion of users who performed the targeted action. The primary indicators for calculating business metrics are the company's revenue and expenses. To obtain a reliable value for a business metric, one should take into account all types of expenses associated with product promotion — salaries for specialists in advertising, the cost of photos and videos for advertising posts, designer’s work, payment for writing advertising texts, communication costs, and others. The sequence of metric selection according to one approach corresponds to the traditional conversion funnel. However, nowadays for the most services a high level of new user engagement does not necessarily mean success. Thus, better sequence of metrics is as follows: retention, activation, referral, revenue, acquisition.

scholarly journals Using an Individual-Centered Approach to Gain Insights From Wearable Data in the Quantified Flu Platform: Netnography Study

10.2196/28116 ◽  
2021 ◽  
Vol 23 (9) ◽  
pp. e28116
Author(s):  
Bastian Greshake Tzovaras ◽  
Enric Senabre Hidalgo ◽  
Karolina Alexiou ◽  
Lukaz Baldy ◽  
Basile Morane ◽  
...  
Keyword(s):  
Tracking System ◽  
Large Population ◽  
Population Based ◽  
Wearable Devices ◽  
Sensor Data ◽  
User Engagement ◽  
Quantified Self ◽  
Web Based ◽  
Iterative Development ◽  
High Level

Background Wearables have been used widely for monitoring health in general, and recent research results show that they can be used to predict infections based on physiological symptoms. To date, evidence has been generated in large, population-based settings. In contrast, the Quantified Self and Personal Science communities are composed of people who are interested in learning about themselves individually by using their own data, which are often gathered via wearable devices. Objective This study aims to explore how a cocreation process involving a heterogeneous community of personal science practitioners can develop a collective self-tracking system for monitoring symptoms of infection alongside wearable sensor data. Methods We engaged in a cocreation and design process with an existing community of personal science practitioners to jointly develop a working prototype of a web-based tool for symptom tracking. In addition to the iterative creation of the prototype (started on March 16, 2020), we performed a netnographic analysis to investigate the process of how this prototype was created in a decentralized and iterative fashion. Results The Quantified Flu prototype allowed users to perform daily symptom reporting and was capable of presenting symptom reports on a timeline together with resting heart rates, body temperature data, and respiratory rates measured by wearable devices. We observed a high level of engagement; over half of the users (52/92, 56%) who engaged in symptom tracking became regular users and reported over 3 months of data each. Furthermore, our netnographic analysis highlighted how the current Quantified Flu prototype was a result of an iterative and continuous cocreation process in which new prototype releases sparked further discussions of features and vice versa. Conclusions As shown by the high level of user engagement and iterative development process, an open cocreation process can be successfully used to develop a tool that is tailored to individual needs, thereby decreasing dropout rates.

Transcription factor/DNA interactions visualized by electron spectroscopic imaging

1992 ◽  
Vol 50 (1) ◽  
pp. 450-451
Author(s):  
David P. Bazett-Jones ◽  
Mark L. Brown
Keyword(s):  
Transcription Factor ◽  
Dna Sequences ◽  
Transcription Initiation ◽  
Molecular Mechanisms ◽  
Phosphorus Content ◽  
Spectroscopic Imaging ◽  
Electron Spectroscopic Imaging ◽  
Dna Backbone ◽  
Two Parameters ◽  
High Level

A multisubunit RNA polymerase enzyme is ultimately responsible for transcription initiation and elongation of RNA, but recognition of the proper start site by the enzyme is regulated by general, temporal and gene-specific trans-factors interacting at promoter and enhancer DNA sequences. To understand the molecular mechanisms which precisely regulate the transcription initiation event, it is crucial to elucidate the structure of the transcription factor/DNA complexes involved. Electron spectroscopic imaging (ESI) provides the opportunity to visualize individual DNA molecules. Enhancement of DNA contrast with ESI is accomplished by imaging with electrons that have interacted with inner shell electrons of phosphorus in the DNA backbone. Phosphorus detection at this intermediately high level of resolution (≈lnm) permits selective imaging of the DNA, to determine whether the protein factors compact, bend or wrap the DNA. Simultaneously, mass analysis and phosphorus content can be measured quantitatively, using adjacent DNA or tobacco mosaic virus (TMV) as mass and phosphorus standards. These two parameters provide stoichiometric information relating the ratios of protein:DNA content.

Advances in Stem Instrumentation for Biology

1990 ◽  
Vol 48 (1) ◽  
pp. 362-363
Author(s):  
J. S. Wall
Keyword(s):  
Scanning Transmission Electron Microscope ◽  
Carbon Films ◽  
Specimen Preparation ◽  
Material Deposition ◽  
Active User ◽  
Percent Improvement ◽  
Scanning Transmission ◽  
The Moment ◽  
Film Substrate ◽  
High Level

The forte of the Scanning transmission Electron Microscope (STEM) is high resolution imaging with high contrast on thin specimens, as demonstrated by visualization of single heavy atoms. of equal importance for biology is the efficient utilization of all available signals, permitting low dose imaging of unstained single molecules such as DNA.Our work at Brookhaven has concentrated on: 1) design and construction of instruments optimized for a narrow range of biological applications and 2) use of such instruments in a very active user/collaborator program. Therefore our program is highly interactive with a strong emphasis on producing results which are interpretable with a high level of confidence.The major challenge we face at the moment is specimen preparation. The resolution of the STEM is better than 2.5 A, but measurements of resolution vs. dose level off at a resolution of 20 A at a dose of 10 el/A2 on a well-behaved biological specimen such as TMV (tobacco mosaic virus). To track down this problem we are examining all aspects of specimen preparation: purification of biological material, deposition on the thin film substrate, washing, fast freezing and freeze drying. As we attempt to improve our equipment/technique, we use image analysis of TMV internal controls included in all STEM samples as a monitor sensitive enough to detect even a few percent improvement. For delicate specimens, carbon films can be very harsh-leading to disruption of the sample. Therefore we are developing conducting polymer films as alternative substrates, as described elsewhere in these Proceedings. For specimen preparation studies, we have identified (from our user/collaborator program ) a variety of “canary” specimens, each uniquely sensitive to one particular aspect of sample preparation, so we can attempt to separate the variables involved.

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