Copertina

Insights into mobile health application market via a content analysis of marketplace data with machine learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Aydin, Gokhan, Silahtaroglu, Gokhan
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Human-Computer Interaction
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Cluster-to-Predict Affect Contours from Speech
di: Kuşçu, Gökhan, et al.
Pubblicazione: (2024)

Classification and taxonomy of mobile application usability issues
di: Weichbroth, Pawel
Pubblicazione: (2025)

CitySolution: A complaining task distributive mobile application for smart city corporation using deep learning
di: Shama, Farhatun, et al.
Pubblicazione: (2024)

Detecting AI-Assisted Cheating in Online Exams through Behavior Analytics
di: Akçapınar, Gökhan
Pubblicazione: (2025)

Accessibility evaluation of major assistive mobile applications available for the visually impaired
di: Bhagat, Saidarshan, et al.
Pubblicazione: (2024)

Towards a potential paradigm shift in health data collection and analysis
di: Herzog, David Josef, et al.
Pubblicazione: (2024)

MobileAgent: enhancing mobile control via human-machine interaction and SOP integration
di: Ding, Tinghe
Pubblicazione: (2024)

A survey on factors influencing mobile application usability through the lens of PACMAD+3 model
di: Weichbroth, Pawel
Pubblicazione: (2025)

A holographic mobile-based application for practicing pronunciation of basic English vocabulary for Spanish speaking children
di: Cerezo, R., et al.
Pubblicazione: (2024)

Character Animation in AR: Character Animation in AR: a mobile application development study
di: Bhattacharjee, Sukanya, et al.
Pubblicazione: (2024)

To impute or not to impute: How machine learning modelers treat missing data
di: Chen, Wanyi, et al.
Pubblicazione: (2025)

A learning health system in Neurorehabilitation as a foundation for multimodal patient representation
di: Weikert, Thomas, et al.
Pubblicazione: (2026)

Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems
di: İnan, Mert, et al.
Pubblicazione: (2025)

Finnish primary school students' conceptions of machine learning
di: Mertala, Pekka, et al.
Pubblicazione: (2024)

Automatic deductive coding in discourse analysis: an application of large language models in learning analytics
di: Zhang, Lishan, et al.
Pubblicazione: (2024)

ReSpAct: Harmonizing Reasoning, Speaking, and Acting Towards Building Large Language Model-Based Conversational AI Agents
di: Dongre, Vardhan, et al.
Pubblicazione: (2024)

Predicting suicidal behavior among Indian adults using childhood trauma, mental health questionnaires and machine learning cascade ensembles
di: Rao, Akash K, et al.
Pubblicazione: (2024)

Trust in AI emerges from distrust in humans: A machine learning study on decision-making guidance
di: Galindez-Acosta, Johan Sebastián, et al.
Pubblicazione: (2025)

Can theory-driven learning analytics dashboard enhance human-AI collaboration in writing learning? Insights from an empirical experiment
di: Chen, Angxuan, et al.
Pubblicazione: (2025)

Classification of attention performance post-longitudinal tDCS via functional connectivity and machine learning methods
di: Rao, Akash K, et al.
Pubblicazione: (2024)

Analyzing Privacy Dynamics within Groups using Gamified Auctions
di: Aydın, Hüseyin, et al.
Pubblicazione: (2025)

Representing Visualization Insights as a Dense Insight Network
di: Hoffswell, Jane, et al.
Pubblicazione: (2025)

Prediction of multitasking performance post-longitudinal tDCS via EEG-based functional connectivity and machine learning methods
di: Rao, Akash K, et al.
Pubblicazione: (2024)

Predicting the usability of mobile applications using AI tools: the rise of large user interface models, opportunities, and challenges
di: Namoun, Abdallah, et al.
Pubblicazione: (2024)

Behavioral analysis in immersive learning environments: A systematic literature review and research agenda
di: Liu, Yu, et al.
Pubblicazione: (2024)

Orientation and mobility test in virtual reality, a tool for quantitative assessment of functional vision: dataset and evaluation in healthy subjects
di: Huang, Yujie, et al.
Pubblicazione: (2025)

iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings
di: Asadi, Zahra, et al.
Pubblicazione: (2024)

Using virtual reality to enhance mobility, safety, and equity for persons with vision loss in urban environments
di: Ricci, F. S., et al.
Pubblicazione: (2024)

Wrist movement classification for adaptive mobile phone based rehabilitation of children with motor skill impairments
di: Schoorl, Kayleigh, et al.
Pubblicazione: (2024)

DAIEM: Decolonizing Algorithm's Role as a Team-member in Informal E-market
di: Rahman, ATM Mizanur, et al.
Pubblicazione: (2025)

Chatbots as social companions: How people perceive consciousness, human likeness, and social health benefits in machines
di: Guingrich, Rose E., et al.
Pubblicazione: (2023)

A Survey on Imitation Learning for Contact-Rich Tasks in Robotics
di: Tsuji, Toshiaki, et al.
Pubblicazione: (2025)

Compositional learning of functions in humans and machines
di: Zhou, Yanli, et al.
Pubblicazione: (2024)

Emojinize: Enriching Any Text with Emoji Translations
di: Klein, Lars Henning, et al.
Pubblicazione: (2024)

Data Insights as Data: Quick Overview and Exploration of Automated Data Insights
di: Wu, Shangxuan, et al.
Pubblicazione: (2025)

Improving motor imagery decoding methods for an EEG-based mobile brain-computer interface in the context of the 2024 Cybathlon
di: Tscherniak, Isabel Whiteley, et al.
Pubblicazione: (2025)

How persuadee's psychological states and traits shape digital persuasion: Lessons learnt from mobile burglary prevention encounters
di: Dolata, Mateusz, et al.
Pubblicazione: (2024)

InsightLens: Augmenting LLM-Powered Data Analysis with Interactive Insight Management and Navigation
di: Weng, Luoxuan, et al.
Pubblicazione: (2024)

ORES-Inspect: A technology probe for machine learning audits on enwiki
di: Levonian, Zachary, et al.
Pubblicazione: (2024)

Investigating the heterogenous effects of a massive content moderation intervention via Difference-in-Differences
di: Cima, Lorenzo, et al.
Pubblicazione: (2024)