scholarly journals The Development of Mobile Tourism in the Upper Silesian Metropolitan Area of Poland

2019 ◽  
Vol 12 (1) ◽  
pp. 44 ◽  
Author(s):  
Mateusz Naramski ◽  
Krzysztof Herman
Keyword(s):  
Business Model ◽  
Metropolitan Area ◽  
Mobile Applications ◽  
Smart City ◽  
Mobile Apps ◽  
Tourist Attractions ◽  
Quantitative Changes ◽  
Model Support ◽  
Smart Tourism ◽  
Do So

Smart tourism is a concept that is becoming more and more popular worldwide in modern tourism. It is a tourism orientated part of the smart city concept, which can also be treated as a specific type of business model. Support and presence of tourist attractions for smartphone users through various apps is one of the first technological stages in the process of adapting this concept in a touristic region. Therefore, the paper’s aim was to observe and measure the development of touristic sites’ presence in mobile applications, in a developing touristic region. In order to do so, we compared data obtained from mobile applications in the years 2015 and 2019. The selected apps contain databases of touristic sites and allow tourists to search for attractions, hotels and restaurants. The comparison showed quantitative changes in the number of those types of objects found by mobile apps in the Upper Silesian metropolitan area, picturing the development and use of those apps in this given region.

Abstract P201: Evaluating Data Sharing And Privacy Policies Of Diabetes Mobile Apps: Where Is The Data Going?

Hypertension ◽  
2020 ◽  
Vol 76 (Suppl_1) ◽  
Author(s):  
Khaled Abdelrahman ◽  
Josh Bilello ◽  
Megna Panchbhavi ◽  
Mohammed S Abdullah
Keyword(s):  
Data Sharing ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Third Party ◽  
Privacy Policy ◽  
Privacy Policies ◽  
Privacy Concerns ◽  
App Store ◽  
User Data ◽  
Do So

Introduction: Diabetes mobile applications (apps) that help patients monitor disease have led to privacy concerns. We aimed to assess privacy policies for diabetes mobile applications with a focus on data transmission to outside parties. Methods: The App Store was used to gather apps pertaining to diabetes by searching “diabetes” and “blood sugar”. Two readers evaluated privacy policies (PP) including data sharing and storing techniques for mention of 27 predetermined criteria. All network traffic generated while loading and using the app was intercepted by a man-in-the-middle attack to listen to data delivered between the sender and receiver of data transmissions. A packet analyzer determined contents of transmission, where data was sent, and if transmission contained user data. Results: Of 35 apps evaluated, 29 (83%) had PP. The most frequent transmission destinations were Google (n=130 transmissions), Kamai Technologies (n=53), Facebook (n=38) and Amazon (n=33). 35 of 35 apps (100%) were transmitting data to a third party. 2 of 2 (100%) of those who had a privacy policy without mention of a third party transmitted data to a third party. 8 of 8 (100%) apps who mentioned they would not transmit to a third party were found to do so. 19 of 19 (100%) apps who mentioned they would transmit data to a third party were found to do so. All apps (n=6) without a privacy policy were found to be transmitting data to a third party. Conclusion: Most diabetes apps on the App store have accessible PP. All apps evaluated transmitted data to a third party, even when the policy stated this would not occur. As mobile applications are increasingly utilized by patients, it is important to warn of privacy implications.

Mobile Applications for Health Management of Older Adults: A Scoping Review (Preprint)

2020 ◽  
Author(s):  
Nurul Asilah Ahmad ◽  
Shahrul Azman Mohd Noah ◽  
Arimi Fitri Mat Ludin ◽  
Suzana Shahar ◽  
Noorlaili Mohd Tohit
Keyword(s):  
Older Adults ◽  
Goal Setting ◽  
Mobile Applications ◽  
Health Management ◽  
Mobile Apps ◽  
Personalized Feedback ◽  
Self Monitoring ◽  
App Store ◽  
Evidenced Based ◽  
Google Play

BACKGROUND Currently, the use of smartphones to deliver health-related content has experienced a rapid growth, with more than 165,000 mobile health (mHealth) applications currently available in the digital marketplace such as iOS store and Google Play. Among these, there are several mobile applications (mobile apps) that offer tools for disease prevention and management among older generations. These mobile apps could potentially promote health behaviors which will reduce or delay the onset of disease. However, no review to date that has focused on the app marketplace specific for older adults and little is known regarding its evidence-based quality towards the health of older adults. OBJECTIVE The aim of this review was to characterize and critically appraise the content and functionality of mobile apps that focuses on health management and/or healthy lifestyle among older adults. METHODS An electronic search was conducted between May 2019 to December 2019 of the official app store for two major smartphone operating systems: iPhone operating system (iTunes App Store) and Android (Google Play Store). Stores were searched separately using predetermined search terms. Two authors screened apps based on information provided in the app description. Metadata from all included apps were abstracted into a standard assessment criteria form. Evidenced based strategies and health care expert involvement of included apps was assessed. Evidenced based strategies included: self-monitoring, goal setting, physical activity support, healthy eating support, weight and/or health assessment, personalized feedback, motivational strategies, cognitive training and social support. Two authors verified the data with reference to the apps and downloaded app themselves. RESULTS A total of 16 apps met the inclusion criteria. Six out of 16 (37.5%) apps were designed exclusively for the iOS platform while ten out of 16 (62.5%) were designed for Android platform exclusively. Physical activity component was the most common feature offered in all the apps (9/16, 56.3%) and followed by cognitive training (8/16, 50.0%). Diet/nutrition (0/16, 0%) feature, however, was not offered on all reviewed mobile apps. Of reviewed apps, 56.3% (9/16) provide education, 37.5% (6/16) provide self-monitoring features, 18.8% (3/16) provide goal setting features, 18.5% (3/16) provide personalized feedback, 6.3% (1/16) provide social support and none of the reviewed apps offers heart rate monitoring and reminder features to the users. CONCLUSIONS All reviewed mobile apps for older adults in managing health did not focused on diet/nutrition component, lack of functional components and lack of health care professional involvement in their development process. There is also a need to carry out scientific testing prior to the development of the app to ensure cost effective and its health benefits to older adults. Collaborative efforts between developers, researchers, health professionals and patients are needed in developing evidence-based, high quality mobile apps in managing health prior they are made available in the app store.

Assessment and Prediction of Privacy Concerns on Health Apps (Preprint)

2020 ◽  
Author(s):  
Reham AlTamime ◽  
Vincent Marmion ◽  
Wendy Hall
Keyword(s):  
Data Sharing ◽  
Mobile Applications ◽  
Retention Rate ◽  
Mobile Apps ◽  
Third Party ◽  
Privacy Concerns ◽  
Health Apps ◽  
Mobile Health Apps ◽  
Specific Factors ◽  
And Control

BACKGROUND Mobile apps and IoT-enabled smartphones technologies facilitate collecting, sharing, and inferring from a vast amount of data about individuals’ location, health conditions, mobility status, and other factors. The use of such technology highlights the importance of understanding individuals’ privacy concerns to design applications that integrate their privacy expectations and requirements. OBJECTIVE This paper explores, assesses, and predicts individuals’ privacy concerns in relation to collecting and disclosing data on mobile health apps. METHODS We designed a questionnaire to identify participants’ privacy concerns pertaining to a set of 432 mobile apps’ data collection and sharing scenarios. Participants were presented with 27 scenarios that varied across three categorical factors: (1) type of data collected (e.g. health, demographic, behavioral, and location); (2) data sharing (e.g., whether it is shared, and for what purpose); and, (3) retention rate (e.g., forever, until the purpose is satisfied, unspecified, week, or year). RESULTS Our findings show that type of data, data sharing, and retention rate are all factors that affect individuals’ privacy concerns. However, specific factors such as collecting and disclosing health data to a third-party tracker play a larger role than other factors in triggering privacy concerns. CONCLUSIONS Our findings suggest that it is possible to predict privacy concerns based on these three factors. We propose design approaches that can improve users’ awareness and control of their data on mobile applications

Mobile applications and patient education: Are currently available GERD mobile apps sufficient?

2016 ◽  
Vol 127 (8) ◽  
pp. 1775-1779 ◽  
Author(s):  
Michael Bobian ◽  
Aron Kandinov ◽  
Nour El-Kashlan ◽  
Peter F. Svider ◽  
Adam J. Folbe ◽  
...  
Keyword(s):  
Patient Education ◽  
Mobile Applications ◽  
Mobile Apps

Predictors to use mobile apps for monitoring COVID-19 symptoms and contact tracing: A survey among Dutch citizens. (Preprint)

2021 ◽  
Author(s):  
Stephanie Maria Jansen-Kosterink ◽  
Marian Hurmuz ◽  
Marjolein den Ouden ◽  
Lex van Velsen
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Online Survey ◽  
Reproduction Number ◽  
Mobile Apps ◽  
Contact Tracing ◽  
Snowball Sampling ◽  
Final Model ◽  
Symptom Recognition ◽  
Personal Connections

UNSTRUCTURED Background: eHealth applications have been recognized as a valuable tool to reduce COVID-19’s effective reproduction number. In this paper, we report on an online survey among Dutch citizens with the goal to identify antecedents of acceptance of a mobile application for COVID-19 symptom recognition and monitoring, and a mobile application for contact tracing. Methods: Next to the demographics, the online survey contained questions focussing on perceived health, fear of COVID-19 and intention to use. We used snowball sampling via posts on social media and personal connections. To identify antecedents of acceptance of the two mobile applications we conducted multiple linear regression analyses. Results: In total, 238 Dutch adults completed the survey. Almost 60% of the responders were female and the average age was 45.6 years (SD±17.4). For the symptom app, the final model included the predictors age, attitude towards technology and fear of COVID-19. The model had an R2 of 0.141. The final model for the tracing app included the same predictors and had an R2 of 0.156. The main reason to use both mobile applications was to control the spread of the COVID-19 virus. Concerns about privacy was mentioned as the main reason not to use the mobile applications. Conclusion: Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance. Discussion: Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance. Age, attitude towards technology and fear of COVID-19 are important predictors of the acceptance of COVID-19 mobile applications for symptom recognition and monitoring and for contact tracing. These predictors should be taken into account during the development and implementation of these mobile applications to secure acceptance.

A review of vocabulary learning applications: From the aspects of cognitive approaches, multimedia input, learning materials, and game elements

2021 ◽  
pp. 250-272
Keyword(s):  
Foreign Language ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Vocabulary Learning ◽  
Word Knowledge ◽  
Learning Approach ◽  
Feedback Systems ◽  
Learning Materials ◽  
Systematic Understanding ◽  
Game Elements

In recent years, mobile applications (apps) have been increasingly used and investigated as a vocabulary learning approach. Despite the extensive use of commercial English as a Foreign Language (EFL) vocabulary learning apps in China, there is a lack of a review of these apps for a systematic understanding of the components and usefulness of app-assisted vocabulary learning. To fill this knowledge gap, this study presents a systematic review of 15 EFL vocabulary learning apps that were most downloaded in China, focusing on how these apps help students develop word knowledge. The results of this study showed that most apps enabled students to access word knowledge through translating words into their native language. Notably, word knowledge was usually presented through text-plus-image and text-plus-image-plus-audio. Most of these mobile apps provided sentence examples as vocabulary learning materials. Many of these apps were integrated with game elements, especially in interactivity or feedback systems and reward systems. Based on the review results, we have provided three recommendations to vocabulary learning app developers concerning the use of video for the input of word knowledge, the efficiency of vocabulary learning, and the integration of more game elements.

scholarly journals Seeing Things Differently: The use of mobile app interpretation and its effect on visitor experience at two heritage sites in Aotearoa New Zealand

2021 ◽  
Author(s):  
◽  
Jessica Aitken
Keyword(s):  
New Zealand ◽  
Case Studies ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Qualitative Interviews ◽  
Mobile App ◽  
Research Approach ◽  
Visitor Experience ◽  
Heritage Sites ◽  
High Street

<p>The practice of contemporary heritage interpretation has seen increased investment in digital technologies and more recently in mobile applications. However, few empirical studies assess how effective mobile apps are to the visitor experience of heritage sites. What kind of visitor experience do mobile apps provide? How do mobile apps deliver on the aims of interpretation for heritage sites? What types of apps work best? What are the challenges for developers and heritage professionals?  A qualitative research approach is used to examine two case studies; High Street Stories: the life and times of Christchurch’s High Street Precinct and IPENZ Engineering Tours: Wellington Heritage Walking Tour. These case studies ask what kind of experience mobile apps offer as an interpretation tool at these heritage sites. To investigate the topic, email interviews were carried out with heritage professionals and digital developers; together with qualitative interviews with visitors recruited to visit the case study sites using the mobile applications.   This study explores two current examples of mobile app technology in the heritage sector in a New Zealand context. The results of this study aim to augment current literature on the topic of digital interpretation. This study seeks to offer heritage managers and interpreters some key factors to consider when making decisions regarding the methods used to present and interpret heritage sites to visitors and in developing new interpretation and digital strategies that include mobile applications. Although each scenario presents its particular set of considerations and all heritage sites are different, it is hoped these recommendations can be applied and offer working models and strategies.</p>

scholarly journals Two-dimensional taxonomy of internet addiction and assessment of smartphone addiction with diagnostic criteria and mobile apps

2021 ◽  
Vol 9 (4) ◽  
pp. 928-933
Author(s):  
Yi-Lun Wu ◽  
Sheng-Hsuan Lin ◽  
Yu-Hsuan Lin
Keyword(s):  
Diagnostic Criteria ◽  
Functional Impairment ◽  
Internet Addiction ◽  
Mobile Applications ◽  
Mobile Apps ◽  
Unmet Need ◽  
Smartphone Addiction ◽  
Two Dimensional ◽  
Future Assessment ◽  
Assessment And Treatment

AbstractA recent review by Montag et al. raised a taxonomical argument about internet addiction. We propose a two-dimensional taxonomy of internet addiction by both the device and the content as the solution. For the assessment of smartphone addiction, measurements should be based on functional impairment and validated by diagnostic criteria rather than solely on self-reported questionnaires. We detail the potential of mobile applications (apps) to improve the assessment of smartphone addiction. App-generated indicators could fulfill the unmet need of assessment of smartphone addiction and facilitate future assessment and treatment planning of smartphone addiction.

scholarly journals Demokratyczna debata w mediach społecznościowych – utopijne nadzieje i smutna rzeczywistość

2020 ◽  
Vol 18 (3) ◽  
pp. 63-79
Author(s):  
Anna Miotk ◽  
Keyword(s):  
Social Media ◽  
Business Model ◽  
Liberal Democracy ◽  
Information Overload ◽  
Negative Impact ◽  
Equal Access ◽  
Content Filtering ◽  
Filtering Algorithms ◽  
The Media ◽  
Do So

The text analyzes social media in terms of the possibility of conducting a democratic debate through them. Initially, their users had great hopes to do so. Social media were to be not only a tool for expressing opinions or presenting statements but also for disseminating the model of liberal democracy. However, the business model of these media, as well as content filtering algorithms, introduced to protect users against information overload, prevented this from happening. To prove this thesis, the author referred to Sunstein's public forum doctrine and proved that social media do not constitute its equivalent. Although the media provided a space for discussion, they did not ensure equal access for senders of messages to recipients and recipients to a variety of content. The topic of the negative impact of social media on liberal democracy is already raised in English scholarship (and is already present in Poland through its translations) and it is also gradually gaining academic currency among Polish researchers. What constitutes a novel contribution to the already available research is the presentation of social media in the context of the utopian high hopes the media initially raised.

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