McNaney, P. K. (2022, May). Opportunities for Smartphone Sensing in E-Health Research: A Narrative
Review. Sensors, 1 - 22. Retrieved from
https://www.researchgate.net/publication/360772977_Opportunities_for_Smartphone_Sensing_in_E-Health
_Research_A_Narrative_Review#fullTextFileContent


This paper presents a narrative review of smartphone-sensing literature from the past five years to
highlight the opportunities and challenges of this approach in healthcare. It highlights the
predominance of mental health studies, discusses the possibilities of using standardized sensing
approaches and machine-learning advancements, and presents the trends of smartphone sensing in
healthcare over the years. It also provides an overview of the type of health conditions studied,
the types of data collected, the tools used, and the challenges encountered in using smartphones
for healthcare studies. Smartphones have the capacity to capture a large amount of user information
and are becoming increasingly context aware. They also have the potential to track additional usage
statistics, such as screen time, application usage, and battery usage. Smartphone sensing has been
used to study physical and mental health conditions, categorized into three categories. (McNaney,
2022)

Cellulographics©: A novel smartphone user classification metrics. (2022, April). Journal of
Innovation & Knowledge, 7. Retrieved from
https://www.researchgate.net/publication/359299559_CellulographicsC_A_novel_smartphone_user_classif
ication_metrics

Cellulographics is a concept introduced for characterization of smartphone users, which includes
behavioral classification based on user characteristics like smartphone experience (SE), smartphone
use skill (SUS), smartphone internet experience (SIE), smartphone use periods (SUP), smart-phone
screen time (SST), smartphone use frequency (SUF), smartphone use activities (SUA), and smartphone
use location (SUL). Market segmentation is the key component of marketing, using geographic,
demo-graphic, psychographic, and behavioral variables. Cellulographics and Web-graphics are the new
metrics for designing a marketing strategy, as consumers are migrating to smartphones for their
daily online activities. Smartphones are versatile, portable, and accessible, allowing users to
perform any task with ease. Mobile commerce contributes significantly to worldwide e-commerce
retail sales, but there are no classification metrics based on smartphone usage. Cellulographics©
is a novel smartphone user classification metric. It might be expensive and time-consuming project
but in a long run it will be so beneficial, (Cellulographics©: A novel smartphone user
classification metrics, 2022)

Ms. Asha Sahu, D. G. (2020). Mobile Shopping Adoption: Research Insights. Journal of Ravishankar
University,, 1 - 8. Retrieved from
https://www.researchgate.net/publication/349476861_Mobile_Shopping_Adoption_Research_Insights

The article "Mobile Shopping Adoption: Research Insights" discusses the increasing trend of mobile
shopping among consumers and the factors influencing its adoption. The authors identify several
factors that influence mobile shopping adoption, including perceived usefulness, ease of use,
trust, perceived risk, and social influence. However, consumers often face challenges while using
mobile shopping apps, such as technical issues, security concerns, and privacy issues. To overcome
these challenges, the authors suggest that mobile shopping app developers should focus on enhancing
the usability and security features of their apps. Additionally, retailers should focus on building
trust with their customers by providing personalized and engaging experiences. Overall, the article
provides useful insights for mobile shopping app developers and retailers seeking to understand
consumer behavior and preferences related to mobile shopping. (Ms. Asha Sahu, 2020)