scholarly journals Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management (Preprint)

2018 ◽  
Author(s):  
Brandon M Booth ◽  
Karel Mundnich ◽  
Tiantian Feng ◽  
Amrutha Nadarajan ◽  
Tiago H Falk ◽  
...  
Keyword(s):  
Data Collection ◽  
Human Behavior ◽  
Well Being ◽  
Sensor Selection ◽  
Sensor Data ◽  
Unexpected Events ◽  
Minimal Impact ◽  
In The Wild ◽  
Natural Settings

BACKGROUND Recent advances in mobile technologies for sensing human biosignals are empowering researchers to collect real-world data outside of the laboratory, in natural settings where participants can perform their daily activities with minimal disruption. These new sensing opportunities usher a host of challenges and constraints for both researchers and participants. OBJECTIVE This viewpoint paper aims to provide a comprehensive guide to aid research teams in the selection and management of sensors before beginning and while conducting human behavior studies in the wild. The guide aims to help researchers achieve satisfactory participant compliance and minimize the number of unexpected procedural outcomes. METHODS This paper presents a collection of challenges, consideration criteria, and potential solutions for enabling researchers to select and manage appropriate sensors for their research studies. It explains a general data collection framework suitable for use with modern consumer sensors, enabling researchers to address many of the described challenges. In addition, it provides a description of the criteria affecting sensor selection, management, and integration that researchers should consider before beginning human behavior studies involving sensors. On the basis of a survey conducted in mid-2018, this paper further illustrates an organized snapshot of consumer-grade human sensing technologies that can be used for human behavior research in natural settings. RESULTS The research team applied the collection of methods and criteria to a case study aimed at predicting the well-being of nurses and other staff in a hospital. Average daily compliance for sensor usage measured by the presence of data exceeding half the total possible hours each day was about 65%, yielding over 355,000 hours of usable sensor data across 212 participants. A total of 6 notable unexpected events occurred during the data collection period, all of which had minimal impact on the research project. CONCLUSIONS The satisfactory compliance rates and minimal impact of unexpected events during the case study suggest that the challenges, criteria, methods, and mitigation strategies presented as a guide for researchers are helpful for sensor selection and management in longitudinal human behavior studies in the wild.

scholarly journals Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management

10.2196/12832 ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. e12832 ◽  
Author(s):  
Brandon M Booth ◽  
Karel Mundnich ◽  
Tiantian Feng ◽  
Amrutha Nadarajan ◽  
Tiago H Falk ◽  
...  
Keyword(s):  
Data Collection ◽  
Human Behavior ◽  
Well Being ◽  
Sensor Selection ◽  
Sensor Data ◽  
Unexpected Events ◽  
Minimal Impact ◽  
In The Wild ◽  
Natural Settings

Background Recent advances in mobile technologies for sensing human biosignals are empowering researchers to collect real-world data outside of the laboratory, in natural settings where participants can perform their daily activities with minimal disruption. These new sensing opportunities usher a host of challenges and constraints for both researchers and participants. Objective This viewpoint paper aims to provide a comprehensive guide to aid research teams in the selection and management of sensors before beginning and while conducting human behavior studies in the wild. The guide aims to help researchers achieve satisfactory participant compliance and minimize the number of unexpected procedural outcomes. Methods This paper presents a collection of challenges, consideration criteria, and potential solutions for enabling researchers to select and manage appropriate sensors for their research studies. It explains a general data collection framework suitable for use with modern consumer sensors, enabling researchers to address many of the described challenges. In addition, it provides a description of the criteria affecting sensor selection, management, and integration that researchers should consider before beginning human behavior studies involving sensors. On the basis of a survey conducted in mid-2018, this paper further illustrates an organized snapshot of consumer-grade human sensing technologies that can be used for human behavior research in natural settings. Results The research team applied the collection of methods and criteria to a case study aimed at predicting the well-being of nurses and other staff in a hospital. Average daily compliance for sensor usage measured by the presence of data exceeding half the total possible hours each day was about 65%, yielding over 355,000 hours of usable sensor data across 212 participants. A total of 6 notable unexpected events occurred during the data collection period, all of which had minimal impact on the research project. Conclusions The satisfactory compliance rates and minimal impact of unexpected events during the case study suggest that the challenges, criteria, methods, and mitigation strategies presented as a guide for researchers are helpful for sensor selection and management in longitudinal human behavior studies in the wild.

scholarly journals Using Smartphone Sensor Data to Assess Inhibitory Control in the Wild: Longitudinal Study (Preprint)

2020 ◽  
Author(s):  
Vincent WS Tseng ◽  
Jean Dos Reis Costa ◽  
Malte F Jung ◽  
Tanzeem Choudhury
Keyword(s):  
Heart Rate ◽  
Inhibitory Control ◽  
Intelligent Systems ◽  
Well Being ◽  
Stop Signal ◽  
Sensor Data ◽  
Gradient Boosting ◽  
Negatively Associated ◽  
In The Wild ◽  
The Mean

BACKGROUND Inhibitory control, or inhibition, is one of the core executive functions of humans. It contributes to our attention, performance, and physical and mental well-being. Our inhibitory control is modulated by various factors and therefore fluctuates over time. Being able to continuously and unobtrusively assess our inhibitory control and understand the mediating factors may allow us to design intelligent systems that help manage our inhibitory control and ultimately our well-being. OBJECTIVE The aim of this study is to investigate whether we can assess individuals’ inhibitory control using an unobtrusive and scalable approach to identify digital markers that are predictive of changes in inhibitory control. METHODS We developed InhibiSense, an app that passively collects the following information: users’ behaviors based on their phone use and sensor data, the ground truths of their inhibition control measured with stop-signal tasks (SSTs) and ecological momentary assessments (EMAs), and heart rate information transmitted from a wearable heart rate monitor (Polar H10). We conducted a 4-week in-the-wild study, where participants were asked to install InhibiSense on their phone and wear a Polar H10. We used generalized estimating equation (GEE) and gradient boosting tree models fitted with features extracted from participants’ phone use and sensor data to predict their stop-signal reaction time (SSRT), an objective metric used to measure an individual’s inhibitory control, and identify the predictive digital markers. RESULTS A total of 12 participants completed the study, and 2189 EMAs and SST responses were collected. The results from the GEE models suggest that the top digital markers positively associated with an individual’s SSRT include phone use burstiness (<i>P</i>=.005), the mean duration between 2 consecutive phone use sessions (<i>P</i>=.02), the change rate of battery level when the phone was not charged (<i>P</i>=.04), and the frequency of incoming calls (<i>P</i>=.03). The top digital markers negatively associated with SSRT include the standard deviation of acceleration (<i>P</i>&lt;.001), the frequency of short phone use sessions (<i>P</i>&lt;.001), the mean duration of incoming calls (<i>P</i>&lt;.001), the mean decibel level of ambient noise (<i>P</i>=.007), and the percentage of time in which the phone was connected to the internet through a mobile network (<i>P</i>=.001). No significant correlation between the participants’ objective and subjective measurement of inhibitory control was found. CONCLUSIONS We identified phone-based digital markers that were predictive of changes in inhibitory control and how they were positively or negatively associated with a person’s inhibitory control. The results of this study corroborate the findings of previous studies, which suggest that inhibitory control can be assessed continuously and unobtrusively in the wild. We discussed some potential applications of the system and how technological interventions can be designed to help manage inhibitory control.

scholarly journals Investigation of environment waste resultant from incorrect excretion of stock car rubbers and determination quantity, a current situation and fate of them (a case study: Ahvaz, Iran)

2015 ◽  
Vol 37 ◽  
pp. 260
Author(s):  
Mohsen Eslami ◽  
Farzaneh Fakeri Raof ◽  
Mohammad Jorjor Zadeh
Keyword(s):  
Automobile Industry ◽  
Well Being ◽  
Healthy Environment ◽  
The Earth ◽  
The World ◽  
In The Wild ◽  
Natural Equilibrium ◽  
Equilibrium Growth ◽  
A Current

A healthy environment is an absolute necessity for the well-being of all governments' policy. The population on the earth is expanding rapidly which goes hand in hand in the degradation of the environment at large measures. The human’s appetites for needs are disarranging the environments natural equilibrium. Growth of automobile industry in the world due to dignity to the parallel with increasing the production of rubber in the world. So increasing the disposal of worn tires is one of the world's great challenges. Annually, large amount of rubbers in the world is prepared. The rubber used in normal conditions can't be easily decomposed and make environmental pollution. This study was performed in Ahvaz metropolitan. The information in this study was achieved by questionnaire were asked of 40 shops, who was activated in the tire field. After this research revealed turned out about 300 shops were activated in the field of tires at the time of this study(2014), Also revealed 2700 tire rings out of cycle per day in Ahvaz .in this study (68%) questionnaire, believed that the tires after release from the workshop are collected by badger. (22%) believed that collected by municipal. Also (7%) of questionnaire believed that they didn't have any information about the release tires. At least only (3%) believed that himself collect damaged tires in their workshops. The application of the tire after collection in the idea of responded following: 15 person of questionnaire believe the tires sold after release from the workshop. 9 person said tires left in the wild. 8 persons believed that tires buried in a special place, Also 6 persons of questionnaire believed that tires are getting burned. At the end 2 persons of questionnaire believed that they don't know the fate of tires. At least some of the environmental hazards caused by incorrect tire were buried as were recommendation to improve.

scholarly journals Corporate Well-Being Programme in COVID-19 Times. The Mahou San Miguel Case Study

2021 ◽  
Vol 13 (11) ◽  
pp. 6189
Author(s):  
José M. Núñez-Sánchez ◽  
Ramón Gómez-Chacón ◽  
Carmen Jambrino-Maldonado ◽  
Jerónimo García-Fernández
Keyword(s):  
Quality Of Life ◽  
Data Collection ◽  
Mixed Method ◽  
Well Being ◽  
Negative Consequences ◽  
The World ◽  
New Situation ◽  
Method Approach

Employees’ health is being affected not only by the possibility of contracting COVID-19, but by all the negative consequences that this pandemic has brought, such as confinement, social distancing, and self-isolation. In recent decades, more companies have opted for corporate well-being programmes in their workplaces, improving the health and quality of life of their employees. The effects generated by the current COVID-19 pandemic require these programmes to adapt to this new situation. The objective of this case study is to analyse the corporate well-being programme, in times of COVID-19, of Mahou San Miguel, a benchmark company in corporate well-being in Spain. A mixed method approach to data collection was used. The findings show the benefits achieved in its adaptation to this new physical-virtual environment. This paper could help other companies around the world to adapt their corporate well-being programmes to the new reality brought about by COVID-19.

scholarly journals The role of informal networks in creating knowledge among health-care managers: a prospective case study

2014 ◽  
Vol 2 (12) ◽  
pp. 1-132 ◽  
Author(s):  
Vicky Ward ◽  
Robert West ◽  
Simon Smith ◽  
Steven McDermott ◽  
Justin Keen ◽  
...  
Keyword(s):  
Health Care ◽  
Data Collection ◽  
Knowledge Creation ◽  
Middle Managers ◽  
Well Being ◽  
Cluster Models ◽  
Informal Networks ◽  
Health And Well Being ◽  
Cluster Modelling

BackgroundHealth and well-being services, in common with many public services, cannot be delivered by a single organisation and require co-ordination across several organisations in a locality. There is some evidence, mostly from other sectors, that middle managers play pivotal roles in this co-ordination by developing networks of relationships with colleagues in other organisations. These networks of relationships, established over time, provide contexts in which managers can, collectively, create the knowledge needed to address the challenges they encounter. Relatively little is known, however, about how these knowledge-creation processes work in a health-care context.AimThis study focuses on how health and well-being managers collectively create knowledge. Our objectives were to develop a better understanding of the way that knowledge is created within and between health-care organisations, across different managerial levels, and of the role played by informal networks in those processes.MethodsThe study was undertaken in health and well-being services in three sites in northern England, employing a case study design. The field methods used were landscape mapping, structured data collection for network analysis and latent position cluster analysis, and semi-structured interviews for narrative analysis. Our network modelling approach used the concepts of latent position network models and latent position cluster models. We used these models to identify clusters of people within networks, and people who acted as bridgers between clusters. We then interviewed middle managers who – on the evidence of our cluster models – occupied similar positions in our graphs. The latter were used to produce practice-based narratives of knowledge creation.ResultsOur narrative results showed that middle managers were synthesisers, in three different senses. First, they draw on different types of information, from a range of sources – quantitative routine data about populations and services, reports on progress against contractual targets, research evidence, and intelligence from colleagues in other localities. Second, they are able to link national policies and local priorities, and reconcile them with local operational realities. They are not always successful, but can integrate the different approaches and working practices of NHS, local authority, private and voluntary organisations. Third, they are able to link ideas, negotiation and action. We found that the network results were most usefully represented asclusters, explaining relationships between actors. Actors within clusters had common attributes, and as a result we were able to interpret the broad purpose of each of the clusters in the graphs for each site. The most useful number of clusters was three or four for both network types, and for both sampling periods, at each of the three sites. The clusters at all three sites had a mix of organisations represented within them. There was a mix of seniorities of managers in all clusters. Relationships were simultaneously formal and informal: formal contracts were managed in a context of ongoing conversations and negotiations. Relationships were simultaneously stable and fluid, with stable ‘cores’ of managers but memberships that varied substantially between two periods of data collection.ConclusionsOur theory about knowledge creation was broadly supported. Managers of health and well-being services develop and maintain knowledge collectively. Their collective efforts are typically manifested either in projects requiring multiorganisational inputs or in taking ideas from genesis to the delivery of a new service. The cluster modelling suggests that networks of managers are able to maintain relationships, and hence conserve technical and prudential knowledge, over months and years. Priorities for future work include establishing the value of latent cluster modelling in understanding the work of groups and teams in other health and social care settings, and studying knowledge creation in the context of the interorganisational co-ordination of services.FundingThe National Institute for Health Research Health Services and Delivery Research programme.

Productivity Evaluation in Function of Worker Psychosocial Factors

2022 ◽  
pp. 72-106
Author(s):  
Erick McGregor Roa-Badilla ◽  
Gabriela Jacobo-Galicia ◽  
Mildrend Ivett Montoya-Reyes ◽  
Ismael Mendoza-Muñoz ◽  
Juan Ceballos- Corral
Keyword(s):  
Data Collection ◽  
Psychosocial Factors ◽  
Well Being ◽  
Statistical Tools ◽  
Final Assembly ◽  
It Impacts ◽  
Assembly Area ◽  
Hygiene Factors ◽  
The Relationship

Workers are exposed to different factors that can be detrimental to their well-being, being the most known safety and hygiene factors. A few years ago, the concepts of harmful factors for workers were updated by adding the psychosocial factors. Although there is literature on psychosocial factors and their effect on health, this work focused specifically on seeking the relationship between productivity and psychosocial factors to know how it impacts the organization. The investigation was applied in a case study for a doorknob locks manufacturing company in its final assembly area. Data collection was done by applying the questionnaire provided by NOM-035-STPS-2018 and the company's productivity databases for the subsequent analysis using statistical tools. The results were that, for the violence factor, its correlation with productivity was R2 = 0.8886, indicating a strong correlation with which it is concluded that there is an influence on productivity.

Food webs with humans: In name only?

2017 ◽  
Author(s):  
Emma C. Fuller
Keyword(s):  
Human Behavior ◽  
Well Being ◽  
Ecological Systems ◽  
Natural Systems ◽  
Fishing Vessels ◽  
The Social ◽  
The Us ◽  
Dungeness Crabs ◽  
Us West

This chapter highlights the importance of considering people as integral to foodwebs. Despite extensive recent research on coupled human-natural systems, lacking are models that incorporate human behavior in a way that yields pragmatic insights into the management of multispecies fisheries. Using the US West Coast commercial fisheries system as a case study, this chapter develops a novel network approach of linking the social system (i.e., fishing communities) to the ecological system (the fish). The analysis reveals that fisheries that seem unconnected biologically, such as benthic Dungeness crabs and pelagic tuna, can in fact be strongly linked by fishing vessels that are active in both fisheries. Understanding how human behavior connects seemingly disparate ecological systems has important implications for fisheries managers seeking to balance human well-being with sustainable populations of fish.

Refugee Children’s Wellbeing in Greece: Methodological and Ethical Challenges

2020 ◽  
Vol 15 (2-2020) ◽  
pp. 160-173
Author(s):  
Antoanneta Potsi ◽  
Zoi Nikiforidou ◽  
Lydia Ntokou
Keyword(s):  
Data Collection ◽  
Qualitative Data ◽  
Ethical Issues ◽  
Well Being ◽  
Refugee Children ◽  
Participatory Methods ◽  
Ethical Challenges ◽  
Individual Interviews ◽  
Children’S Wellbeing

This paper brings to the fore the methodological and ethical issues we faced in the process of collecting qualitative data from refugee children in Greece in the context of the Children’s Understandings of Well- Being study. The aim of this contribution is to expose the methodological and ethical challenges we encountered before and during the data collection. Through the case study of 4 children we critically reflect on the methodological tools used as a means of exploring refugee children’s sense of wellbeing. These were individual interviews initially and more participatory methods. Contextual factors are discussed and our dilemmas as researchers are unpicked for further analysis.

Smartphone tilt as a measure of well-being? Evidence from two experience sampling studies (Preprint)

2021 ◽  
Author(s):  
Tim Kuhlmann ◽  
Ulf-Dietrich Reips
Keyword(s):  
Experience Sampling ◽  
Well Being ◽  
Self Report ◽  
Sensor Data ◽  
Subjective Well Being ◽  
Sampling Studies ◽  
In The Wild ◽  
Report Data ◽  
Self Report Data ◽  
Smartphone Sensor

BACKGROUND Smartphone usage is increasing around the globe. Smartphones offer considerable opportunities to researchers implementing experience sampling designs. Besides convenient gathering of self-report data, the availability of objective sensor data promises advantages for data collection. OBJECTIVE Previous research has shown the relation between body posture and well-being as well as an association between smartphone sensor data and posture. We investigated the association of the smartphone’s objective tilt measure with self-reported well-being in the field. METHODS Two experience sampling studies with 98 and 261 participants were conducted. They included self-reported measures of well-being and objective sensor gathered at the same points in time. The sample included Android and iOS smartphones. RESULTS Results of Study 1 show a within-person association between deviation from the usual tilt and well-being, t(3392)=-3.9, p<.001, d=.13. In Study 2 this association was only shown for Android users, t(3389)=-2.20, p=.03, d=.08, but not for iOS users. Comparison of the groups did reveal differences in the distribution of the sensor measured tilt. CONCLUSIONS An association between subjective well-being and smartphone sensor data was shown, but not consistently across devices and studies. Possible explanations for the differing results by smartphone platform include heterogeneity of the hardware implemented and differences in the software sensor values. Advice on precautions to consider when implementing app studies on differing devices and platforms in the wild are given. Implications for future studies, including objective validation of sensor data, are also discussed.

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