Results 51 to 60 of about 1,126,984 (244)
Smart Phone Addiction Prediction and Analysis
The role of big data analytics in analysing smart phone addiction is changing in this age of rapidly advancing technology, as more and more people show signs of smartphone addiction, including overuse of phones, a decline in productivity, and potential issues with one’s physical and emotional well-being.
null Vishakha Vijay Kadam +1 more
openaire +1 more source
Impact of Digital Ability and Rice Technology Adoption on Rice Farming Performance in Benin
ABSTRACT This study examines the combined effects of digital ability and the adoption of various rice technologies among smallholder rice farmers, using GPS‐spatially matched data sources that include household surveys and a general census of rice value chain actors in Benin.
Landry Bellarmin Kassa, Takeshi Sakurai
wiley +1 more source
Facebook addiction: concerns, criticisms and recommendations [PDF]
This paper provides a brief critique of the ‘Facebook addiction’ research field in relation to the Bergen Facebook Addiction Scale developed by Andreaessen and colleagues (2012).
Griffiths, MD
core
Background Addiction to smartphone usage is a common worldwide problem among adults, which might negatively affect their wellbeing. This study investigated the prevalence and factors associated with smartphone addiction and depression among a Middle ...
Aljohara A. Alhassan +5 more
doaj +1 more source
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source
Development and Validation of the Mobile Addiction Scale: The Components Model Approach
Mobile phones have entered our lives through technological developments, becoming the most commonly used technological device. In the last decade, they can now process almost every task that can be done with a computer.
Hüseyin Fidan
doaj +1 more source
Towards Human‐Centered Intelligent Inhabitable Spaces: A Review
This review introduces Robot‐Rooms as a new category of architectural‐scale robots that do not operate within a space but actively form and reconfigure the space around their occupants. Drawing from robotics, HCI, architecture, and the arts, an interdisciplinary framework is proposed that maps the enabling technologies and integration challenges ...
Nithesh Kumar +3 more
wiley +1 more source
Background and Aim:The use of smartphone technology has made significant development during recent years. The use of this technology in students' growth rate was higher. Besides the advantages of this technology, such as drug side effects may also occur.
Fallahi-Khoshknab, Masoud +3 more
core +1 more source
Addictive Use of Smartphones and Mental Disorders in University Students
Objective: Despite the awareness of smartphone addiction, low findings and lack of validated standards have led to insufficient information in this area. This study aimed to examine the relationship between mobile phone dependency and mental disorders in
Seyyed Salman Alavi +6 more
doaj +1 more source

