Large-Scale Research via App Stores

2015 ◽  
pp. 269-292
Author(s):  
Matthias Kranz ◽  
Andreas Möller ◽  
Florian Michahelles
Keyword(s):  
Data Collection ◽  
Human Computer Interaction ◽  
Real World ◽  
Mobile Applications ◽  
Large Scale ◽  
Mobile App ◽  
Lessons Learned ◽  
Conducting Research ◽  
Collection Methods

Large-scale research has gained momentum in the context of Mobile Human-Computer Interaction (Mobile HCI), as many aspects of mobile app usage can only be evaluated in the real world. In this chapter, we present findings on the challenges of research in the large via app stores, in conjunction with selected data collection methods (logging, self-reporting) we identified and have proven as useful in our research. As a case study, we investigated the adoption of NFC technology, based on a gamification approach. We therefore describe the development of the game NFC Heroes involving two release cycles. We conclude with lessons learned and provide recommendations for conducting research in the large for mobile applications.

Co-Designing Mobile Applications for Data Collection in Citizen Science Projects – Challenges and Lessons Learned within the Nachtlicht-BüHNE Project

2020 ◽  
Author(s):  
Friederike Klan ◽  
Christopher C.M. Kyba ◽  
Nona Schulte-Römer ◽  
Helga U. Kuechly ◽  
Jürgen Oberst ◽  
...  
Keyword(s):  
Data Collection ◽  
Citizen Science ◽  
Mobile Applications ◽  
Mobile Application ◽  
Lessons Learned ◽  
Smartphone Apps ◽  
Science Project ◽  
Science Projects ◽  
Citizen Science Project

<p>Data contributed by citizen scientists raise increasing interest in many areas of scientific research. Increasingly, projects rely on information technology such as mobile applications (apps) to facilitate data collection activities by lay people. When developing such smartphone apps, it is essential to account for both the requirements of the scientists interested in acquiring data and the needs of the citizen scientists contributing data. Citizens and participating scientists should therefore ideally work together during the conception, design and testing of mobile applications used in a citizen science project. This will benefit both sides, as both scientists and citizens can bring in their expectations, desires, knowledge, and commitment early on, thereby making better use of the potential of citizen science. Such processes of app co-design are highly transdisciplinary, and thus pose challenges in terms of the diversity of interests, skills, and background knowledge involved.</p><p>Our “Nachtlicht-BüHNE” citizen science project addresses these issues. Its major goal is the development of a co-design process enabling scientists and citizens to jointly develop citizen science projects based on smartphone apps. This includes (1) the conception and development of a mobile application for a specific scientific purpose, (2) the design, planning and organization of field campaigns using the mobile application, and (3) the evaluation of the approach. In Nachtlicht-BüHNE, the co-design approach is developed within the scope of two parallel pilot studies in the environmental and space sciences. Case study 1 deals with the problem of light pollution. Currently, little is known about how much different light source types contribute to emissions from Earth. Within the project, citizens and researchers will develop and use an app to capture information about all types of light sources visible from public streets. Case study 2 focuses on meteors. They are of great scientific interest because their pathways and traces of light can be used to derive dynamic and physical properties of comets and asteroids. Since the surveillance of the sky with cameras is usually incomplete, reports of fireball sightings are important. Within the project, citizens and scientists will create and use the first German-language app that allows reporting meteor sightings.</p><p>We will share our experiences on how researchers and communities of citizen scientists with backgrounds in the geosciences, space research, the social sciences, computer science and other disciplines work together in the Nachtlicht-BüHNE project to co-design mobile applications. We highlight challenges that arose and present different strategies for co-design that evolved within the project accounting for the specific needs and interests of the communities involved.</p>

Data and Case Study Research in Accounting and Finance

2016 ◽  
Author(s):  
Roza Sagitova ◽  
Darren Jubb ◽  
Anees Farrukh ◽  
Angeliki Papachroni ◽  
Sean Lochrie
Keyword(s):  
Data Collection ◽  
Case Study Research ◽  
Direct Impact ◽  
Research Projects ◽  
Collection Method ◽  
Study Approach ◽  
Wide Range ◽  
Conducting Research ◽  
Collection Methods

This chapter represents the first stage in the gathering of data for research projects and introduces some of the factors that influence the choice of data collection methods. Different areas of accounting and finance research have different traditions for conducting research, which will have a direct impact on the researcher’s choice of data collection method. The chapter then proceeds with case study approach to collecting data, an approach that utilises a wide range of data sources and techniques. The chapter discusses the strength, difficulties and practicalities of using that approach in a research project.

scholarly journals The graph neural networking challenge

2021 ◽  
Vol 51 (3) ◽  
pp. 9-16
Author(s):  
José Suárez-Varela ◽  
Miquel Ferriol-Galmés ◽  
Albert López ◽  
Paul Almasan ◽  
Guillermo Bernárdez ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computer Networks ◽  
Real World ◽  
Large Scale ◽  
Lessons Learned ◽  
Educational Resources ◽  
Global Competition ◽  
International Telecommunication Union ◽  
International Telecommunication ◽  
Broad Audience

During the last decade, Machine Learning (ML) has increasingly become a hot topic in the field of Computer Networks and is expected to be gradually adopted for a plethora of control, monitoring and management tasks in real-world deployments. This poses the need to count on new generations of students, researchers and practitioners with a solid background in ML applied to networks. During 2020, the International Telecommunication Union (ITU) has organized the "ITU AI/ML in 5G challenge", an open global competition that has introduced to a broad audience some of the current main challenges in ML for networks. This large-scale initiative has gathered 23 different challenges proposed by network operators, equipment manufacturers and academia, and has attracted a total of 1300+ participants from 60+ countries. This paper narrates our experience organizing one of the proposed challenges: the "Graph Neural Networking Challenge 2020". We describe the problem presented to participants, the tools and resources provided, some organization aspects and participation statistics, an outline of the top-3 awarded solutions, and a summary with some lessons learned during all this journey. As a result, this challenge leaves a curated set of educational resources openly available to anyone interested in the topic.

Initiating Collaboration among Organ Transplant Professionals through Web Portals and Mobile Applications

2013 ◽  
Vol 18 (2) ◽  
Author(s):  
Susan Alexander ◽  
Haley Hoy ◽  
Manil Maskey ◽  
Helen Conover ◽  
John Gamble ◽  
...  
Keyword(s):  
Mobile Applications ◽  
Healthcare Providers ◽  
Organ Transplant ◽  
Pilot Project ◽  
Mobile App ◽  
Lessons Learned ◽  
Ease Of Use ◽  
Future Directions ◽  
Efficient Access ◽  
Health Related

The knowledge base for healthcare providers working in the field of organ transplantation has grown exponentially. However, the field has no centralized ‘space’ dedicated to efficient access and sharing of information.The ease of use and portability of mobile applications (apps) make them ideal for subspecialists working in complex healthcare environments. In this article, the authors review the literature related to healthcare technology; describe the development of health-related technology; present their mobile app pilot project assessing the effects of a collaborative, mobile app based on a freely available content manage framework; and report their findings. They conclude by sharing both lessons learned while completing this project and future directions.

Assessing Triangulation Across Methodologies, Methods, and Stakeholder Groups: The Joys, Woes, and Politics of Interpreting Convergent and Divergent Data

2018 ◽  
Vol 41 (1) ◽  
pp. 125-144 ◽  
Author(s):  
Rebecca Campbell ◽  
Rachael Goodman-Williams ◽  
Hannah Feeney ◽  
Giannina Fehler-Cabral
Keyword(s):  
Large Scale ◽  
Contextual Information ◽  
Policy Makers ◽  
Specific Data ◽  
Qualitative And Quantitative ◽  
Stakeholder Groups ◽  
Data Points ◽  
Evaluation Project ◽  
Collection Methods

The purpose of this study was to develop triangulation coding methods for a large-scale action research and evaluation project and to examine how practitioners and policy makers interpreted both convergent and divergent data. We created a color-coded system that evaluated the extent of triangulation across methodologies (qualitative and quantitative), data collection methods (observations, interviews, and archival records), and stakeholder groups (five distinct disciplines/organizations). Triangulation was assessed for both specific data points (e.g., a piece of historical/contextual information or qualitative theme) and substantive findings that emanated from further analysis of those data points (e.g., a statistical model or a mechanistic qualitative assertion that links themes). We present five case study examples that explore the complexities of interpreting triangulation data and determining whether data are deemed credible and actionable if not convergent.

scholarly journals Evaluating data quality collected by volunteers for first-level inspection of hydraulic structures in mountain catchments

2014 ◽  
Vol 14 (10) ◽  
pp. 2681-2698 ◽  
Author(s):  
V. J. Cortes Arevalo ◽  
M. Charrière ◽  
G. Bossi ◽  
S. Frigerio ◽  
L. Schenato ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Mobile Applications ◽  
Rating Scales ◽  
Hydraulic Structures ◽  
Future Research ◽  
Civil Protection ◽  
Learning Session ◽  
Learning Group ◽  
Collection Methods

Abstract. Volunteers have been trained to perform first-level inspections of hydraulic structures within campaigns promoted by civil protection of Friuli Venezia Giulia (Italy). Two inspection forms and a learning session were prepared to standardize data collection on the functional status of bridges and check dams. In all, 11 technicians and 25 volunteers inspected a maximum of six structures in Pontebba, a mountain community within the Fella Basin. Volunteers included civil-protection volunteers, geosciences and social sciences students. Some participants carried out the inspection without attending the learning session. Thus, we used the mode of technicians in the learning group to distinguish accuracy levels between volunteers and technicians. Data quality was assessed by their accuracy, precision and completeness. We assigned ordinal scores to the rating scales in order to get an indication of the structure status. We also considered performance and feedback of participants to identify corrective actions in survey procedures. Results showed that volunteers could perform comparably to technicians, but only with a given range in precision. However, a completeness ratio (question/parameter) was still needed any time volunteers used unspecified options. Then, volunteers' ratings could be considered as preliminary assessments without replacing other procedures. Future research should consider advantages of mobile applications for data-collection methods.

scholarly journals ANALISIS ENTREPRENEURIAL LEADERSHIP DAN HAMBATAN PERTUMBUHAN USAHA DI UMKM PENGOLAHAN TAHU “RDS” SINGOSARI MALANG

2018 ◽  
Vol 6 (1) ◽  
pp. 95
Author(s):  
Aris Wahyu Tristanto ◽  
Ludi Wishnu Wardana
Keyword(s):  
Qualitative Research ◽  
Data Collection ◽  
Research Design ◽  
Entrepreneurial Leadership ◽  
Data Collection Methods ◽  
Qualitative Research Design ◽  
The Future ◽  
New Ideas ◽  
Collection Methods

This research was conducted to describe the entrepreneurial leadership of SMEs Tofu "RDS" and description about the obstacles experienced by SMEs Tofu "RDS". This research uses descriptive qualitative research design that aims to obtain the information available at this time, and then attempt to describe, record and interpret the information. Data collection methods used were interviews, observation and documentation. This type of qualitative research is case study. The result of the research is the condition of entrepreneurial leadership from the leadership of SMEs Tofu "RDS" is generally good because he is able to motivate employees well, have a picture of the future effort, able to read opportunities well, actively seeking new ideas, persistent in running their business And barriers faced by SMEs Tofu "RDS" can be overcome well by the leadership of SMEs Tofu RDS.

scholarly journals Incorporating Contextual Information into Personalized Mobile Applications Recommendation

2021 ◽  
Author(s):  
Ke Zhu ◽  
Yingyuan Xiao ◽  
Wenguang Zheng ◽  
Xu Jiao ◽  
Chenchen Sun ◽  
...  
Keyword(s):  
Mobile Applications ◽  
Large Scale ◽  
Contextual Information ◽  
Mobile App ◽  
Mobile Internet ◽  
Current Time ◽  
Spatiotemporal Information ◽  
Data Overload ◽  
Effect Experiment ◽  
Contextual Characteristic

Abstract With the rise of the mobile internet, the number of mobile applications (apps) has shown explosive growth, which directly leads to the apps data overload. Currently, the recommender system has become the most effective method to solve the app data overload. App has the functional exclusiveness feature, which means the target users will not reuse apps with the same function in a certain spatiotemporal information. Most of the existing recommended methods for apps ignore the functional exclusiveness feature which makes it difficult to further improve the recommendation performance of the app recommendation. To solve this problem, we aim to improve the app recommendation performance, and propose a Personalized Context-aware Mobile App Recommendation Approach, called PCMARA. PCMARA comprehensively considers the user and app contextual information, which can mine the users app usage preference effectively. Specifically, (1) PCMARA explores the contextual characteristic of app, and constructs the app contextual factors for app which represent the function of app. (2) For the app functional exclusiveness problem, PCMARA leverages the app contextual factor to design a novel app similarity model, which enable to effectively eliminate this problem. (3) PCMARA considers the contextual information of users and apps to generates a recommendation list for target users based on the target users' current time and location. We applied the PCMARA to a real-world dataset and conducted a large-scale recommendation effect experiment. The experimental results show that the recommendation effect of PCMARA is satisfactory.

scholarly journals Manajemen Pengembangan Tenaga Pendidik di SMA Primaganda Bulurejo Diwek Jombang

FIKROTUNA ◽  
2017 ◽  
Vol 4 (2) ◽  
Author(s):  
MOCH. SYA’RONI HASAN
Keyword(s):  
Data Collection ◽  
Qualitative Case Study ◽  
Development Planning ◽  
Extension Study ◽  
Data Collection Methods ◽  
Study Type ◽  
Academic Year ◽  
Collection Methods

This study describe the implementation of Management developmenteducators at SMA Primaganda, Bulurejo Diwek, Jombang. The approach in thisstudy is a qualitative case study type. used data collection methods as well as therole of observation, interview and documentation. This study used a qualitativedescriptive approach. To check the validity of the data used extension study,perseverance observation, and triangulation. The analysis comes up with theconclusion that: (1). Development Planning educators: announcement held at thebeginning of the new academic year, the drafting team was formed educatorsdevelopment commission held hearings, the commission meeting is a forum forreviewing, memproduct and developed the concept of the development of educatorswho have been prepared. (2). The development of educators with activities ofinteraction with educators through formal and informal activities. Formalactivities in the development of educators, for example through mentoringactivities (tutorials), informally can be done through informal conversations in theroom as educators, yard madrassas and other places that are not resmi. (3).Problems encountered and solutions in the implementation of management effortspengembanagan educators (teachers) at SMA Primaganda include issues of timeand also there are many teachers who have not been able to use electronic means ofcomputer, the solution given is the clock supplied to the teacher to be able to learnwho helped by tutors.AbstrakPenelitian ini mendiskripsikan tentang pelaksanaan manajemenpengembangan pendidik (educators) di SMA Primagama, Bulurejo Diwek,Jombang. Pendekatan dalam penelitian ini adalah kualitatif dengan tipepenelitian studi kasus. Metode pengumpulan data yang digunakan dalampenelitian ini adalah observasi, wawancara dan dokumentasi. Penelitian inimenggunakan pendekatan deskriptif kualitatif. Untuk mengecek validitasdata, peneliti menggunakan studi ekstensi, observasi ketekunan, dantriangulasi. Berdasarkan analisis data, penelitian ini menyimpulkan bahwa:(1). Perencanaan pengembangan pendidik: pengumuman diadakan padaawal tahun ajaran baru, tim perumus membentuk komisi pengembanganpendidik untuk melakukan rapat komisi, sidang komisi adalah forumuntuk mengkaji, menghasilkan dan mengembangkan konseppengembangan pendidik yang telah disiapkan. (2). Pengembanganpendidik dilakukan dengan kegiatan interaksi melalui kegiatan formal daninformal. kegiatan formal dalam pengembangan pendidik, misalnyamelalui kegiatan mentoring (tutorial), untuk kegiatan informal dilakukanmelalui percakapan informal di ruang guru, halaman madrasah dantempat-tempat lain yang tidak resmi. (3). Problematika dalam pelaksanaanmanajemen pengembanagan pendidik (guru) di SMA Primagandamencakup masalah waktu dan juga banyaknya guru yang belum mampumenggunakan media komputer dalam pembelajaran. Solusi dariproblematika tersebut adalah memberikan waktu kepada guru untukmempelajari media komputer yang dibantu oleh tutor.

Sign in / Sign up

Export Citation Format

Share Document