scholarly journals Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life

2018 ◽  
Author(s):  
Jonathan Liono ◽  
Zahraa S. Abdallah ◽  
A. K. Qin ◽  
Flora D. Salim
Keyword(s):  
Human Activity ◽  
Daily Life ◽  
Mobile Sensing ◽  
Transportation Mode

scholarly journals Mobile Sensing Apps and Self-management of Mental Health During the COVID-19 Pandemic: Web-Based Survey

10.2196/24180 ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. e24180
Author(s):  
Banuchitra Suruliraj ◽  
Kitti Bessenyei ◽  
Alexa Bagnell ◽  
Patrick McGrath ◽  
Lori Wozney ◽  
...  
Keyword(s):  
Mental Health ◽  
Social Interactions ◽  
Daily Life ◽  
Health Impact ◽  
Mobile Sensing ◽  
Self Management ◽  
Maladaptive Behaviors ◽  
Web Based ◽  
Health Measures ◽  
Perceived Helpfulness

Background During the COVID-19 pandemic, people had to adapt their daily life routines to the currently implemented public health measures, which is likely to have resulted in a lack of in-person social interactions, physical activity, or sleep. Such changes can have a significant impact on mental health. Mobile sensing apps can passively record the daily life routines of people, thus making them aware of maladaptive behavioral adjustments to the pandemic. Objective This study aimed to explore the views of people on mobile sensing apps that passively record behaviors and their potential to increase awareness and helpfulness for self-managing mental health during the pandemic. Methods We conducted an anonymous web-based survey including people with and those without mental disorders, asking them to rate the helpfulness of mobile sensing apps for the self-management of mental health during the COVID-19 pandemic. The survey was conducted in May 2020. Results The majority of participants, particularly those with a mental disorder (n=106/148, 72%), perceived mobile sensing apps as very or extremely helpful for managing their mental health by becoming aware of maladaptive behaviors. The perceived helpfulness of mobile sensing apps was also higher among people who experienced a stronger health impact of the COVID-19 pandemic (β=.24; 95% CI 0.16-0.33; P<.001), had a better understanding of technology (β=.17; 95% CI 0.08-0.25; P<.001), and had a higher education (β=.1; 95% CI 0.02-0.19; P=.02). Conclusions Our findings highlight the potential of mobile sensing apps to assist in mental health care during the pandemic.

scholarly journals Institutional rhythms: Combining practice theory and rhythmanalysis to conceptualise processes of institutionalisation

2017 ◽  
Vol 28 (3) ◽  
pp. 922-950 ◽  
Author(s):  
Stanley Blue
Keyword(s):  
Everyday Life ◽  
Social Theory ◽  
Human Activity ◽  
Social Life ◽  
Daily Life ◽  
Practice Theory ◽  
Practice Turn ◽  
Theories Of Practice ◽  
Temporal Organisation

The practice turn in social theory has renewed interest in conceptualising the temporal organisation of social life as a way of explaining contemporary patterns of living and consuming. As a result, the interest to develop analyses of time in both practice theories and practice theory-based empirical research is increasing. Practice theorists draw on theories of time and ideas about temporal rhythms to explain how practices are organised in everyday life. To date, they have studied how temporal experiences matter for the coordination of daily life, how temporal landscapes matter for issues of societal synchronisation, and how timespace/s matter for the organisation of human activity. While several studies refer to, draw on, and position themselves in relation to ideas about temporal rhythms, those working with theories of practice have yet to fully utilise the potential of Lefebvre’s rhythmanalysis for explaining the constitution of, and more specifically, changes within, social life. I argue that rhythmanalysis can be effectively combined with practice theory to better articulate the ways in which practices become connected through what I describe as processes of institutionalisation. I argue that this combination requires repositioning the role of time in theories of practice as neither experience, nor as landscape, but, building on Schatzki’s work on The Timespace of Human Activity, as practice itself. Drawing on Lefebvre’s concepts of arrhythmia and eurhythmia, and developing Parkes and Thrift’s notion of entrainment, I illustrate how institutional rhythms, as self-organising, open, spatiotemporal practices emerge, endure, and evolve in ways that matter for both socio-temporal landscapes and temporal experiences.

scholarly journals Models: the fourth dimension of computer science

2021 ◽  
Author(s):  
Bernhard Thalheim
Keyword(s):  
Computer Science ◽  
Human Activity ◽  
Daily Life ◽  
Fourth Dimension ◽  
Science And Engineering ◽  
Making Sense ◽  
Science Technology ◽  
Universal Instrument ◽  
Models And Modelling ◽  
Use Of Models

AbstractModels are a universal instrument in science, technology, and daily life. They function as instruments in almost every scenario. Any human activity can be (and is) supported by models, e.g. reason, explain, design, act, predict, explore, communicate, collaborate, interact, orient, direct, guide, socialises, perceive, reflect, develop, making sense, teach, learn, imagine, etc. This universal suitability is also the basis for a wide use of models and modelling in Computer Science and Engineering. We claim that models form the fourth dimension in Computer Science. This paper sketches and systematises the main ingredients of the study model and modelling.

scholarly journals Mobile Sensing Apps and Self-management of Mental Health during the COVID-19 Pandemic – an Online Survey (Preprint)

2020 ◽  
Author(s):  
Banuchitra Suruliraj ◽  
Kitti Bessenyei ◽  
Alexa Bagnell ◽  
Patrick McGrath ◽  
Lori Wozney ◽  
...  
Keyword(s):  
Mental Health ◽  
Online Survey ◽  
Daily Life ◽  
Mobile Sensing ◽  
Self Management ◽  
Maladaptive Behaviors ◽  
Social Contacts ◽  
The Public ◽  
Health Measures ◽  
Perceived Helpfulness

BACKGROUND In light of the COVID-19 pandemic, people had to adapt their daily life routines to the public health measures in place, which is likely to have resulted in a lack of social contacts in person, physical activity or sleep. Such changes can have a significant impact on mental health. Mobile sensing apps can passively record the daily life routines of people making them aware of maladaptive behavioral adjustments to the pandemic. OBJECTIVE This study aimed to explore the views of people on mobile sensing apps passively recording behaviors and their potential to increase awareness and helpfulness for self-managing mental health during the pandemic. METHODS We conducted an anonymous online survey including people with and without mental disorders asking them to rate the helpfulness of mobile sensing apps for the self-management of mental health during the COVID-19 pandemic. The survey took place in May, 2020. RESULTS The majority of participants particularly those with a mental disorder (72%) perceived mobile sensing apps as very or extremely helpful for managing their mental health by becoming aware of maladaptive behaviors. The perceived helpfulness of mobile sensing apps was further higher among people experiencing a stronger impact of COVID-19 (β = 0.24; 95% CI, 0.16-0.33; P < .001), having a better understanding of technology (β = 0.17; 95% CI, 0.08-0.25; P < .001), and a higher education (β = 0.1; 95% CI, 0.02-0.19; P = .02). CONCLUSIONS The findings highlight the potential of mobile sensing apps to assist in mental health care during the pandemic.

scholarly journals PEMBELAJARAN KOOPERATIF TIPE JIGSAW DALAM PEMBELAJARAN IPS DI MADRASAH IBTIDAIYAH

MADRASAH ◽  
2012 ◽  
Author(s):  
Samsul Susilawati
Keyword(s):  
Cooperative Learning ◽  
Social Environment ◽  
Human Activity ◽  
Daily Life ◽  
Integrated Learning ◽  
Learning Patterns ◽  
The People ◽  
The Social ◽  
Activity Of Daily Life

IPS Integrated Learning is essentially a human activity of daily life, shaped by the social environment and the growing of a civilization. Truth IPS Integrated formed explicitly by the "social agreement", the new rules formed from the old rules that have been agreed upon and accepted by the people truth. IPS Learning Integrated into the joints of the life and activities of the Integrated IPS The range of material can only be understood if the students have the opportunity to build (construct) and develop keselurahan aspects of the integrated IPS material that can be achieved through appropriate learning patterns one of them is a type of cooperative learning jigsaw.<br /><br />Keywords: Constructivism, Cooperative learning jigsaw type<br /><br />

scholarly journals Mobile Sensing Apps and Self-management of Mental Health during the COVID-19 Pandemic – an Online Survey (Preprint)

2020 ◽  
Author(s):  
Banuchitra Suruliraj ◽  
Kitti Bessenyei ◽  
Alexa Bagnell ◽  
Patrick McGrath ◽  
Lori Wozney ◽  
...  
Keyword(s):  
Mental Health ◽  
Online Survey ◽  
Daily Life ◽  
Mobile Sensing ◽  
Self Management ◽  
Maladaptive Behaviors ◽  
Social Contacts ◽  
The Public ◽  
Health Measures ◽  
Perceived Helpfulness

BACKGROUND In light of the COVID-19 pandemic, people had to adapt their daily life routines to the public health measures in place, which is likely to have resulted in a lack of social contacts in person, physical activity or sleep. Such changes can have a significant impact on mental health. Mobile sensing apps can passively record the daily life routines of people making them aware of maladaptive behavioral adjustments to the pandemic. OBJECTIVE This study aimed to explore the views of people on mobile sensing apps passively recording behaviors and their potential to increase awareness and helpfulness for self-managing mental health during the pandemic. METHODS We conducted an anonymous online survey including people with and without mental disorders asking them to rate the helpfulness of mobile sensing apps for the self-management of mental health during the COVID-19 pandemic. The survey took place in May, 2020. RESULTS The majority of participants particularly those with a mental disorder (72%) perceived mobile sensing apps as very or extremely helpful for managing their mental health by becoming aware of maladaptive behaviors. The perceived helpfulness of mobile sensing apps was further higher among people experiencing a stronger impact of COVID-19 (β = 0.24; 95% CI, 0.16-0.33; P < .001), having a better understanding of technology (β = 0.17; 95% CI, 0.08-0.25; P < .001), and a higher education (β = 0.1; 95% CI, 0.02-0.19; P = .02). CONCLUSIONS The findings highlight the potential of mobile sensing apps to assist in mental health care during the pandemic.

scholarly journals A Review on Scaling Mobile Sensing Platforms for Human Activity Recognition: Challenges and Recommendations for Future Research

IoT ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 451-473
Author(s):  
Liliana I. Carvalho ◽  
Rute C. Sofia
Keyword(s):  
Activity Recognition ◽  
Human Activity ◽  
Large Scale ◽  
Human Activity Recognition ◽  
Mobile Sensing ◽  
Future Research ◽  
Raising Awareness ◽  
Sensing Platforms ◽  
And Behavior ◽  
Personal Devices

Mobile sensing has been gaining ground due to the increasing capabilities of mobile and personal devices that are carried around by citizens, giving access to a large variety of data and services based on the way humans interact. Mobile sensing brings several advantages in terms of the richness of available data, particularly for human activity recognition. Nevertheless, the infrastructure required to support large-scale mobile sensing requires an interoperable design, which is still hard to achieve today. This review paper contributes to raising awareness of challenges faced today by mobile sensing platforms that perform learning and behavior inference with respect to human routines: how current solutions perform activity recognition, which classification models they consider, and which types of behavior inferences can be seamlessly provided. The paper provides a set of guidelines that contribute to a better functional design of mobile sensing infrastructures, keeping scalability as well as interoperability in mind.

scholarly journals KARAKTERISTIK SESEORANG DALAM MENCARI JALAN DI JABODETABEK

2020 ◽  
Vol 3 (2) ◽  
pp. 433
Author(s):  
Pratama Kurnia Jaya ◽  
Leksmono Suryo Putranto
Keyword(s):  
Human Activity ◽  
Daily Life ◽  
T Test ◽  
Online Data ◽  
Know How ◽  
Monthly Expenditure ◽  
Factors Influencing ◽  
Current Location ◽  
Age Factor ◽  
Measuring Tool

Transportation arise as result of human activity to fulfil their daily needs that cannot be achieved in their current location. This activity is influnced by the characteristics of everyone in finding a way. A person’s characteristics are certainly influnced by his daily life in which every human being has different needs and obligations and is also supported by existing transportation facilities in the place where they live. Besides the discussion about way finding is very complex because many people still don’t understand the characteristics in each region in each individual or group. Furthermore, to support this, it is necessary to pay attention to the characteristics in each region. This research was conducted using a questionnaire measuring tool that was distributed directly and online. Obtained from fifty respondents for direct questionnaires and fiftyseven for online questionnaires. The data were analyzed using independent sample t-test and one sample t-test to know how much the influence of the factors influencing someone’s characteristics in finding a way in Jabodetabek. Based on the results of the study, the age factor has the greatest influence on a person’s characteristics in finding a way. When compared with respondents in their gender and monthly expenditure of respondents.AbstrakTransportasi terjadi karena adanya keharusan manusia untuk memenuhi kebutuhannya yang tidak dapat dipenuhi ditempatnya saat itu berada. Kegiatan ini dipengaruhi oleh karaketeristik setiap orang dalam mencari jalan. Karakteristik seseorang pastinya di pengaruhi dari kehidupan dia sehari-hari yang dimana setiap manusia mempunyai kebutuhan dan kewajiban yang berbeda-beda dan juga di dukung oleh fasilitas transportasi yang ada pada tempat mereka hidup. Disamping itu juga bahasan tentang wayfinding amat kompleks karena banyak sekali yang belum memahami karakteristik di setiap daerah pada masing-masing individu dan kelompok. Maka untuk menunjang hal itu perlu di perhatikan setiap karakteristik setiap daerah masing-masing. Penelitian ini dilakukan untuk mengetahui variabel yang paling mempengaruhi karakteristik seseorang dalam mencari jalan di Jabodetabek. Penelitian ini dilakukan dengan menggunakan alat ukur kuesioner yang disebarkan secara langsung dan secara online. Didapatkan sebanyak lima puluh responden untuk kuesioner langsung dan lima puluh tujuh responden untuk kuesioner online. Data dianalisis menggunakan independent sample t-test dan one sample t-test untuk mengetahui seberapa besar pengaruh faktor-faktor yang diduga mempengaruhi karakteristik seseorang dalam mencari jalan di Jabodetabek. Berdasarkan hasil penelitian, faktor usia memiliki pengaruh paling besar dalam karakteristik seseorang dalam mencari jalan. Jika dibandingkan dengan responden pada jenis kelaminnya dan pengeluaran responden perbulannya.

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