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Journal articles on the topic 'User daily routines'

Author: Grafiati

Published: 7 September 2021

Last updated: 29 July 2025

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1

Montoliu, Raúl, Emilio Sansano-Sansano, Marina Martínez-García, et al. "Extracting Daily Routines from Raw RSSI Data." Sensors 25, no. 9 (2025): 2745. https://doi.org/10.3390/s25092745.

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Detecting behavioral routines is an important research area with many implications in various practical applications. One such application involves studying the behavior of older adults residing in care homes. This paper proposes a comprehensive methodology for extracting and analyzing the daily routines of older adults in care homes. The methodology utilizes raw data comprising signal strength measurements obtained from smartwatches worn by six volunteers over five months. To establish the basis for estimating daily activities, fingerprint-based localization techniques are employed to track t

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Sanchez Guinea, Alejandro, Simon Heinrich, and Max Mühlhäuser. "Activity-Free User Identification Using Wearables Based on Vision Techniques." Sensors 22, no. 19 (2022): 7368. http://dx.doi.org/10.3390/s22197368.

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In order to achieve the promise of smart spaces where the environment acts to fulfill the needs of users in an unobtrusive and personalized manner, it is necessary to provide means for a seamless and continuous identification of users to know who indeed is interacting with the system and to whom the smart services are to be provided. In this paper, we propose a new approach capable of performing activity-free identification of users based on hand and arm motion patterns obtained from an wrist-worn inertial measurement unit (IMU). Our approach is not constrained to particular types of movements

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Mathisen, Vår, Aud Obstfelder, Geir Lorem, and Per Måseide. "Brukermedvirkning i psykiatriske institusjoner. Praktisering av ”brukermedvirkning” gjennom miljøterapeutiske aktiviteter." Nordisk tidsskrift for helseforskning 11, no. 2 (2015): 16. http://dx.doi.org/10.7557/14.3710.

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The purpose of this article is to examine how user participation is enabled in practice. Fieldwork is conducted in three Norwegian District Psychiatric Centres (DPCs), with an emphasis on observations of staff working with patients and interviews. The theoretical framework is interactionism. The data analysis shows that efforts to involve patients in activities related to their own illness and their stay at the centres are integrated into the work. The findings show that much time is spent on motivating patients to want to live. Practicing of user participation in combination with milieu thera

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Ramadhania, Dina, and Muhammad Romadhona Kusuma. "Design of a User-Friendly Financial Tracker for Daily Household Spending Based on JavaScript and Bootstrap." Journal of Innovation and Computer Science (JICS) 1, no. 2 (2025): 84–91. https://doi.org/10.57053/jics.v1i2.99.

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In today's digital era, recording expenses is crucial to effective financial management, especially for individuals and Micro, Small, and Medium Enterprises (MSMEs). This study aims to design and implement a web-based financial system using JavaScript and Bootstrap 5 that can record transactions dynamically and in real time. The system is designed to be lightweight, responsive, and easy to use. Thus, it is accessible to users with varying levels of technological literacy. Evaluation results find that the system records expenses accurately and receives positive feedback from users regarding its

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Cesconetto, Jonas, Luís Augusto Silva, Fabricio Bortoluzzi, María Navarro-Cáceres, Cesar A. Zeferino, and Valderi R. Q. Leithardt. "PRIPRO—Privacy Profiles: User Profiling Management for Smart Environments." Electronics 9, no. 9 (2020): 1519. http://dx.doi.org/10.3390/electronics9091519.

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Smart environments are pervasive computing systems that provide higher comfort levels on daily routines throughout interactions among smart sensors and embedded computers. The lack of privacy within these interactions can lead to the exposure of sensitive data. We present PRIPRO (PRIvacy PROfiles), a management tool that includes an Android application that acts on the user’s smartphone by allowing or blocking resources according to the context, in order to address this issue. Back-end web server processes and imposes a protocol according to the conditions that the user selected beforehand. Th

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Brendgen, Rike. "Non-invasive glucose detection with smart textiles." OPE Journal 14, no. 48 (2024): 22–23. http://dx.doi.org/10.51202/2366-8040-2024-48-022.

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The increasing prevalence of diabetes worldwide has heightened the need for innovative and patient-friendly glucose monitoring technologies. Wearable devices that integrate non-invasive glucose sensors into everyday clothing can further enhance user comfort and seamlessly fit into daily routines, making health management more intuitive and less intrusive.

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Yang, Hongyu, Rou Dong, Rong Guo, et al. "Real-Time Acoustic Scene Recognition for Elderly Daily Routines Using Edge-Based Deep Learning." Sensors 25, no. 6 (2025): 1746. https://doi.org/10.3390/s25061746.

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The demand for intelligent monitoring systems tailored to elderly living environments is rapidly increasing worldwide with population aging. Traditional acoustic scene monitoring systems that rely on cloud computing are limited by data transmission delays and privacy concerns. Hence, this study proposes an acoustic scene recognition system that integrates edge computing with deep learning to enable real-time monitoring of elderly individuals’ daily activities. The system consists of low-power edge devices equipped with multiple microphones, portable wearable components, and compact power modul

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Hallawi, Huda, Huda Ragheb Kadhim, Zahraa Najm Abdullah, Noor D. AL-Shakarchy, and Dhamyaa A. Nasrawi. "User identification based on short text using recurrent deep learning." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 4 (2023): 1812–20. https://doi.org/10.11591/ijai.v12.i4.pp1812-1820.

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Technological development is a revolutionary process by this time, it is mainly depending on electronic applications in our daily routines like (business management, banking, financial transfers, health, and other essential traits of life). Identification or approving identity is one of the complicated issues within online electronic applications. Person’s writing style can be employed as an identifying biological characteristic in order to recognize the identity. This paper presents a new way for identifying a person in a social media group using comments and based on the Deep Neural Ne

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Jitendra, Pratap Singh. "Assistive Technology for Deaf-Blind Persons." RECENT EDUCATIONAL & PSYCHOLOGICAL RESEARCHES (ISSN: 2278-5949) 11, no. 3 (2022): 6–15. https://doi.org/10.5281/zenodo.7368739.

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Assistive technology aims to serve the disabled people, who are unable to do their daily routines with ease. Despite the emphasis on mechanics and the rapid proliferation of modern devices, little is known about the specific uses of such gadgets introduced now-a-days. Guardians of fully/partially sighted and handicapped persons remain indecisive in making selection of required tools. Thus, the purpose of this work is to help people in choosing the best suited widgets for them. We conduct a parameterized review and a systematic analysis of Windows and Linux based assistive artificial supporting

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Lee, Kathy, Kate Hyun, Sabrina Haque, et al. "USER-CENTERED ANALYSIS OF A FITNESS APP FOR OLDER ADULTS: SENIOR FIT." Innovation in Aging 8, Supplement_1 (2024): 792. https://doi.org/10.1093/geroni/igae098.2571.

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Abstract Utilizing technology can greatly improve the health and well-being of older adults, especially those who prefer to age in place. Senior Fit, an augmented reality mobile application, was created specifically to assist older adults with various physical exercises. This poster presentation focuses on the specifics of the app, user feedback, and suggestions for designing apps aimed at enhancing the physical activity of older adults. The app features a simple login process, requiring only users’ first and last names along with their contact number. It provides access to 16 indoor exercise

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Vyas, Dhaval, Abigail C. Durrant, and John Vines. "Engaging with Under-Resourced Communities for User Research through Self-Authored Videos." Proceedings of the ACM on Human-Computer Interaction 6, CSCW2 (2022): 1–26. http://dx.doi.org/10.1145/3555626.

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The conventional 'participant-as-informant' model of user research has recently been challenged by approaches that advocate for participants to have a greater authorial control over narratives that portray their lived experiences. This is particularly important for addressing relationships of power and representation. Informed by narrative approaches in social work, we report on a study exploring the use of self-authored videos captured by 16 participants from under-resourced communities. Participants portrayed their mundane life experiences in a form of a video biography. Co-analysis of resul

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Kaspereit, Thomas. "Event studies with daily stock returns in Stata: Which command to use?" Stata Journal: Promoting communications on statistics and Stata 21, no. 2 (2021): 462–97. http://dx.doi.org/10.1177/1536867x211025835.

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In this article, I provide an overview of existing community-contributed commands for executing event studies. I assess which command could have been used to conduct event studies that have appeared in the past 10 years in 3 leading accounting, finance, and management journals. The older command eventstudy provides a comfortable graphical user interface and good functionality for event studies that do not require hypotheses testing. The command estudy, described in Pacicco, Vena, and Venegoni (2018, Stata Journal 18: 461–476; 2021, Stata Journal 21: 141–151), provides a set of commonly applied

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Rodrigues, Maria Elanne M., Karla Haryanna S. Moura, Karina Castelo Branco, et al. "Exploring User Experience and Usability of mHealth applications for people with diabetes: An Evaluation Study Using UEQ and HE4EH Checklist." Journal on Interactive Systems 14, no. 1 (2023): 562–75. http://dx.doi.org/10.5753/jis.2023.3226.

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Diabetes affects 10% of adults aged 20 to 79 globally, caused by insufficient insulin production. Mobile apps are effective in managing this chronic condition. This study aimed to investigate the experience of using mobile applications for healthcare patients with diabetes in their daily activities. Ten participants diagnosed with diabetes were invited to evaluate five Android mobile applications using a predefined protocol. We used the User Experience Questionnaire (UEQ) to assess the usability and user experience of the apps. In addition, the Heuristic Evaluations for mHealth (HE4EH) checkli

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Mertz, Lasse, Kristina Tornbjerg, and Christian Nøhr. "User Perception of Automated Dose Dispensed Medicine in Home Care: A Scoping Review." Healthcare 9, no. 10 (2021): 1381. http://dx.doi.org/10.3390/healthcare9101381.

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(1) Background: Automated dose dispensing (ADD) systems are today used around the world. The ADD robots are placed in patients’ homes to increase medication safety as well as medication adherence; however, little is known about how ADD robots affect the patient’s day-to-day lives, receiving the daily doses of medicine from a machine rather than from a human healthcare professional. The aim of this study is to review the available literature on users’ perceptions of having an ADD robot and collect evidence on how they perceive having less human contact after implementing this technology in thei

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Soujanya, Dr K. L. S., Dr. A. Poongodai, Dr M. Dheeraj Anirudh, L.Hinduja, M. Almisbah, and S. Chandana Reddy. "Victual: A Web-Based Wellness Tracker for Personalized Lifestyle Monitoring." International Research Journal of Innovations in Engineering and Technology 09, Special Issue ICCIS (2025): 178–83. https://doi.org/10.47001/irjiet/2025.iccis-202529.

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Abstract - Victual – Towards Wellbeing is a web-based health tracking application designed to help users monitor and improve their daily routines. It focuses on four key areas: water intake, exercise, sleep, and food consumption. The platform offers a user-friendly dashboard for logging data, setting personal goals, and visualizing progress through interactive charts. By analysing user inputs, the system generates personalized health reports and actionable recommendations. These insights help users build better habits, stay motivated, and make informed lifestyle choices. Victual aims to promot

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Cen, Zuen, and Yuxin Zhao. "Investigating the Impact of AI-Driven Voice Assistants on User Productivity and Satisfaction in Smart Homes." Journal of Economic Theory and Business Management 1, no. 6 (2024): 8–14. https://doi.org/10.70393/6a6574626d.323333.

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Artificial Intelligence (AI)-driven voice assistants, such as Amazon's Alexa and Google Assistant, have become essential components in modern smart home ecosystems, revolutionizing the way users interact with their environments. These voice assistants enable hands-free control over various home automation systems, offering unprecedented levels of convenience and enhancing daily productivity. By integrating with a wide range of smart devices—from lighting and temperature control to security systems and entertainment—AI-driven voice assistants simplify the management of daily routines, allowing

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Shahid, Zahraa Khais, Saguna Saguna, and Christer Åhlund. "Detecting Anomalies in Daily Activity Routines of Older Persons in Single Resident Smart Homes: Proof-of-Concept Study." JMIR Aging 5, no. 2 (2022): e28260. http://dx.doi.org/10.2196/28260.

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Background One of the main challenges of health monitoring systems is the support of older persons in living independently in their homes and with relatives. Smart homes equipped with internet of things devices can allow older persons to live longer in their homes. Previous surveys used to identify sensor-based data sets in human activity recognition systems have been limited by the use of public data set characteristics, data collected in a controlled environment, and a limited number of older participants. Objective The objective of our study is to build a model that can learn the daily rout

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Simpson, Karen, Chad Staddon, and Sarah Ward. "Challenges of Researching Showering Routines: From the Individual to the Socio-Material." Urban Science 3, no. 1 (2019): 19. http://dx.doi.org/10.3390/urbansci3010019.

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In the UK, water supplies are under pressure from climate, population and lifestyle change. Showering is the largest component of domestic water consumption. Young adults are high water-users at a transitional life-stage, when practices are dynamic, and habits shaped. This paper presents the methodology, early findings and reflections on challenges of working with different data types and scales, to explore real-world water-saving through a mixed-methods approach, focusing on showering patterns of first year university students in campus accommodation at the University of the West of England,

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Hallawi, Huda, Huda Ragheb Kadhim, Zahraa Najm Abdullah, Noor D. AL-Shakarchy, and Dhamyaa A. Nasrawi. "User identification based on short text using recurrent deep learning." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 4 (2023): 1812. http://dx.doi.org/10.11591/ijai.v12.i4.pp1812-1820.

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<p>Technological development is a revolutionary process by this time, it is<br />mainly depending on electronic applications in our daily routines like<br />(business management, banking, financial transfers, health, and other essential<br />traits of life). Identification or approving identity is one of the complicated<br />issues within online electronic applications. Person’s writing style can be<br />employed as an identifying biological characteristic in order to recognize the<br />identity. This paper presents a new way for identifying a person i

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Watkins, Heather, and Richard Pak. "Investigating User Perceptions and Stereotypic Responses to Gender and Age of Voice Assistants." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (2020): 1800–1804. http://dx.doi.org/10.1177/1071181320641434.

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Technologies such as voice assistants can aid older adults aging in place by assisting with basic home and health tasks in daily routines. However, currently available voice assistants have a common design-they are vastly represented as young and female. Humans may apply stereotypes to human-computer interactions similarly to human-human interactions. When stereotypes are activated, users may lose trust or confidence in the abilities of the device, or even stop using the device all together. The two purposes of this study are to 1) investigate if users can detect the age and gender of voice as

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Swendeman, Dallas, Stephanie Sumstine, Amber Brink, Deborah Mindry, Melissa Medich, and Michael Russell. "Smartphone Self-Monitoring by Young Adolescents and Parents to Assess and Improve Family Functioning: Qualitative Feasibility Study." JMIR Formative Research 4, no. 6 (2020): e15777. http://dx.doi.org/10.2196/15777.

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Background The natural integration of mobile phones into the daily routines of families provides novel opportunities to study and support family functioning and the quality of interactions between family members in real time. Objective This study aimed to examine user experiences of feasibility, acceptability, and reactivity (ie, changes in awareness and behaviors) of using a smartphone app for self-monitoring of family functioning with 36 participants across 15 family dyads and triads of young adolescents aged 10 to 14 years and their parents. Methods Participants were recruited from 2 family

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Kim, Euiyoung, JungKyoon Yoon, Jieun Kwon, Tiffany Liaw, and Alice M. Agogino. "From Innocent Irene to Parental Patrick: Framing User Characteristics and Personas to Design for Cybersecurity." Proceedings of the Design Society: International Conference on Engineering Design 1, no. 1 (2019): 1773–82. http://dx.doi.org/10.1017/dsi.2019.183.

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AbstractWith the surging number of digital devices penetrating our daily routines, the risks inherent to cybersecurity—the protection of data on digital products connected to the Internet—have also increased since these devices (e.g., connected home devices, personal monitoring) collect, process, analyze and store users’ sensitive personal information. Thus, there is a pressing need to assist users in being aware of and dealing with potential cybersecurity threats. With the proposition that fulfilling the need starts with developing an in-depth understanding of the user behaviors in the contex

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Samborskii, Ivan, Aleksandr Farseev, Andrey Filchenkov, and Tat-Seng Chua. "A Whole New Ball Game: Harvesting Game Data for Player Profiling." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 10025–26. http://dx.doi.org/10.1609/aaai.v33i01.330110025.

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Nowadays, video games play a very important role in human life and no longer purely associated with escapism or entertainment. In fact, gaming has become an essential part of our daily routines, which give rise to the exponential growth of various online game platforms. By participating in such platforms, individuals generate a multitude of game data points, which, for example, can be further used for automatic user profiling and recommendation applications. However, the literature on automatic learning from the game data is relatively sparse, which had inspired us to tackle the problem of pla

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Wilke, H., P. Badke-Schaub, and K. Thoring. "THE HEALTHCARE DESIGN DILEMMA: PERILS OF A TECHNOLOGY-DRIVEN DESIGN PROCESS FOR MEDICAL PRODUCTS." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 2217–26. http://dx.doi.org/10.1017/dsd.2020.133.

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AbstractThis paper reports an embedded single case study from a globally operating manufacturer for digital healthcare products. Based on nine semi-structured interviews, document analysis, and a diary study among employees, we were able to gain insights on the daily business routines and interactions of the design team, the UX research team, and the product management department. The results revealed several unexpected insights that indicate a practical mismatch between user-centred design processes learned from the textbook and design practice in the healthcare sector that warrant further re

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Susnea, Ioan, Luminita Dumitriu, Mihai Talmaciu, Emilia Pecheanu, and Dan Munteanu. "Unobtrusive Monitoring the Daily Activity Routine of Elderly People Living Alone, with Low-Cost Binary Sensors." Sensors 19, no. 10 (2019): 2264. http://dx.doi.org/10.3390/s19102264.

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Most expert projections indicate that in 2030, there will be over one billion people aged 60 or over. The vast majority of them prefer to spend their last years at home, and almost a third of them live alone. This creates a growing need for technology-based solutions capable of helping older people to live independently in their places. Despite the wealth of solutions proposed for this general problem, there are very few support systems that can be reproduced on a larger scale. In this study, we propose a method to monitor the activity of the elderly living alone and detect deviations from the

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Yusof, Yuhanis, Lee Cheng Hooi, and Azizi Abas. "User Acceptance of QR Code based Mobile Application in Interactive E-Commerce." Annals of Emerging Technologies in Computing 5, no. 5 (2021): 102–7. http://dx.doi.org/10.33166/aetic.2021.05.012.

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Advertisement on products or services can be found in many forms; video, banners, pamphlets, etc. However, these advertisements only function as a one-way communication as consumers are only presented with the product information and the seller. Further action on purchasing the product is absent or is to be made separately. Such an approach may not guarantee a sale for the seller as the customer may only retrieve the information of the product but purchase it elsewhere. Hence, this study demonstrates the use of QR code technology not only in marketing but also in e-commerce. The technology is

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Sanchez, Alyssia A., Joy Laia, Alexander Tighe, and Alex Mihailidis. "Exploring home-based reminder systems for daily routine support: usability, data insights, and future directions." Gerontechnology 23, s (2024): 1–12. https://doi.org/10.4017/gt.2025.24.1.1178.06.

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Background: This study evaluates 'Remindful,' a home-based reminder system designed to support people living with dementia (PLwDs) and their caregivers, assessing its usability and the effectiveness of its integration into daily routines. Research Aim: The study aims to refine and evaluate the usability of the 'Remindful' system, collect and analyze interaction data to optimize its functionality, and provide actionable insights that can inform the development of future digital reminder systems. The objectives focus on assessing the usability of the Remindful system to meet the practical needs

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Reis, Florian, Christian Lenz, Manfred Gossen, Hans-Dieter Volk, and Norman Michael Drzeniek. "Practical Applications of Large Language Models for Health Care Professionals and Scientists." JMIR Medical Informatics 12 (September 5, 2024): e58478-e58478. http://dx.doi.org/10.2196/58478.

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Abstract With the popularization of large language models (LLMs), strategies for their effective and safe usage in health care and research have become increasingly pertinent. Despite the growing interest and eagerness among health care professionals and scientists to exploit the potential of LLMs, initial attempts may yield suboptimal results due to a lack of user experience, thus complicating the integration of artificial intelligence (AI) tools into workplace routine. Focusing on scientists and health care professionals with limited LLM experience, this viewpoint article highlights and disc

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Korpilahti-Leino, Tarja, Terhi Luntamo, Terja Ristkari, et al. "Single-Session, Internet-Based Cognitive Behavioral Therapy to Improve Parenting Skills to Help Children Cope With Anxiety During the COVID-19 Pandemic: Feasibility Study." Journal of Medical Internet Research 24, no. 4 (2022): e26438. http://dx.doi.org/10.2196/26438.

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Background The COVID-19 pandemic has had a major impact on families’ daily routines and psychosocial well-being, and technology has played a key role in providing socially distanced health care services. Objective The first objective of this paper was to describe the content and delivery of a single-session, internet-based cognitive behavioral therapy (iCBT) intervention, which has been developed to help parents cope with children’s anxiety and manage daily situations with their children. The second objective was to report user adherence and satisfaction among the first participants who comple

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Haw, Su-Cheng. "Editorial: Perspectives on Machine Learning." Journal of Telecommunications and the Digital Economy 12, no. 3 (2024): 1–6. http://dx.doi.org/10.18080/jtde.v12n3.1042.

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Progress in machine learning technology has truly impacted our lives by tailoring many of our daily experiences to be seamless and intuitive. This innovation has brought about changes in day-to-day routines; from suggesting music based on our emotions to offering recommendations for places to visit or meals to try out. This special issue explores various Machine Learning technologies. Among some are Machine Learning advances that improve human interaction, predict user behaviours, analyse user reviews, and optimize high-risk investments like Bitcoin trading. These technologies enhance user exp

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Zhu, Tian Yang, Hui Min Wang, and Jun Liang Zhou. "Research on the design of travel aids for the elderly with partial disability of lower limbs." E3S Web of Conferences 275 (2021): 03037. http://dx.doi.org/10.1051/e3sconf/202127503037.

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As the population continues to age, the daily lives of those with disabled lower limbs have gradually become an unavoidable social welfare problem. Based on an investigation and analysis into the daily routines of the elderly with partial disability in their lower limbs, the product design experiment is proposed to solve any mobility difficulties in the elderly with partial disability in their lower limbs to provide practical help that can ensure their independence and social contact. Based on the literature research and market comparison, According to the assessment criteria for the Instrumen

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Chokyi, Tenzin. "Fitness Application- A Mood-Aware Fitness Web Application." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47522.

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Abstract This paper presents how FitMind was developed by developers, a web-based fitness application for its users that offers mood-based workout suggestions. As opposed to fitness apps that provide just generic workout plans, FitMind adapts to the user's own emotional state, and it suggests fitness routines personalized for their mood on a daily basis. The app seeks to combine fitness along with mental well-being when designers consider emotional factors for creating workout plans. This paper outlines the development process, with the technical architecture and user experience. The paper doe

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Wali, Abdul, Saipunidzam Mahamad, and Suziah Sulaiman. "Task Automation Intelligent Agents: A Review." Future Internet 15, no. 6 (2023): 196. http://dx.doi.org/10.3390/fi15060196.

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As technological advancements increase exponentially, mobile phones become smarter with machine learning and artificial intelligence algorithms. These advancements have allowed mobile phone users to perform most of their daily routine tasks on mobile phones; tasks performed in daily routines are called repetitive tasks and are performed manually by the users themselves. However, machine learning and artificial intelligence have enabled those tasks to be performed automatically, known as task automation. The users can perform task automation, e.g., through creating automation rules or an intell

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Seo, Eugene, and Wanseok Yang. "Evaluating Smart Home Services and Items: A Living Lab User Experience Study." Buildings 13, no. 1 (2023): 263. http://dx.doi.org/10.3390/buildings13010263.

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South Korea is expected to become a super-aged society by 2025, when more than 20% of its population will be aged 65 and over. One possible solution for minimizing the socioeconomic burden posed by this aging trend is smart home technology, which can be used to support older adults’ daily routines. In this study, the aim is to suggest the direction of development on smart home technology and products to enhance our understanding of service and item needs for the optimal commercialization of smart homes for users. A living lab was set up to research the experience of using smart home technology

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Pergantis, Minas, Iraklis Varlamis, Nikolaos Grigorios Kanellopoulos, and Andreas Giannakoulopoulos. "Searching Online for Art and Culture: User Behavior Analysis." Future Internet 15, no. 6 (2023): 211. http://dx.doi.org/10.3390/fi15060211.

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With the constant expansion of the Web, search engines became part of people’s daily routines. How users behave during the search process depends on a variety factors, one of which is the topic of their search interest. This study focused on the behavior of users searching the Web for content related to art and cultural heritage. A proprietary, publicly available, federated search engine, in the form of a web and mobile app, was developed for this research’s purposes. This platform was used to monitor actual user behavior during a six-month period. Quantitative data related to the platform’s u

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Mahammad, Farooq Sunar. "Iris Unleashed: Revolutionizing Mouse Control through OpenCV." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 4268–73. http://dx.doi.org/10.22214/ijraset.2024.60909.

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Abstract: Background: In today's modern world, personal computers have become an essential part of our daily routines, serving various purposes like work, education, and entertainment. However, for individuals with limited mobility, using traditional input devices such as keyboards and mouse can be quite challenging. In such cases, alternative input methods that utilize different abilities, such as eye movements, are preferred. Objectives: The proposed system begins by capturing an image with a camera and using OpenCV code to detect the pupil's position in the eye. This information serves as a

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Md Nor, Romiza, Muhammad Amin Abdullah, Nurul Syafiqah Aminuddin, Nur Shahidatul Shaurah Sharifunizam, Aliaa Zafirah Zainal, and Huzaifah A Hamid. "Designing Fish Optic Mobile Application for Fish Disease Identification." Journal of Computing Research and Innovation 7, no. 1 (2022): 131–38. http://dx.doi.org/10.24191/jcrinn.v7i1.278.

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The signs and symptoms of fish disease can be traced by checking on the eye surface which is the cornea of fisheye. The Fish Optic mobile application aims to help students study the fisheye anatomy and to trace the symptoms of diseases on fish. The Fish Optic user mobile application uses Human-Centered System Development Life Cycle (HCSDLC) which consists of four phases which are project selection and planning, analysis, design and implementation. As HCSDLC emphasizes on user involvement throughout all phases, an interview was conducted, and a post task walkthrough was performed. User Acceptan

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Rajalaxmi, S., S. Dharshan, T. M. Kishorekumar, A. K. Saheermohammed, and B. Priyadharshini. "Development of a web based smart memory aid for Alzheimer's patients." i-manager’s Journal on Software Engineering 19, no. 3 (2025): 34. https://doi.org/10.26634/jse.19.3.21493.

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This paper presents the development of a web based Smart Memory Aid designed to support individuals with Alzheimer's disease in managing their daily routines and cognitive well-being. The system integrates features such as music therapy, cognitive games, medication reminders, and caregiver monitoring, with the goal of enhancing independence and emotional health among users. Built using React, the platform emphasizes accessibility and user-friendliness, catering to the cognitive limitations and mobility challenges associated with Alzheimer's. The design process followed a user centered methodol

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Cañete, Raquel, and M. Estela Peralta. "ASDesign: A User-Centered Method for the Design of Assistive Technology That Helps Children with Autism Spectrum Disorders Be More Independent in Their Daily Routines." Sustainability 14, no. 1 (2022): 516. http://dx.doi.org/10.3390/su14010516.

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COVID-19 has posed new physical and mental challenges for the population worldwide, establishing social and structural changes in the labor market that could be maintained and implemented permanently. This new reality will require new strategies to improve family and work conciliation, which is especially challenging for families with children suffering from psychological pathologies such as autism spectrum disorder (ASD). These changes have led to more frequent and intense behavioral problems, causing stress, anxiety, and confusion for these children and their families. Thus, the need to have

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Dedabrishvili, Mariam, Natia Mamaiashvili, and Ioseb Matiashvili. "Fall Detection System based on iOS Smartphone Sensors." Journal of Technical Science and Technologies 8, no. 1 (2024): 35–44. http://dx.doi.org/10.31578/jtst.v8i1.153.

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Activities of daily living (ADLs) are a crucial aspect of human life, especially in remote health monitoring and fall detection. As smartphones have become an integral part of our daily routines, with their ability to perform complex calculations, connect to the internet, and incorporate various sensors, researchers have been inspired to explore human activity recognition systems. This paper focuses on accelerometer and gyroscope data from iOS-based smartphones. We developed a data collection app to record fall types (e.g., Falling Right, Falling Left) and fall-like activities (e.g., Sitting F

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Al Khaldy, Mohammad, Ameen Shaheen, Wael Alzyadat, and Aysh Alhroob. "The Impact of Smartwatches on Health and Lifestyle: A Study on Jordanian Society." International Journal of Online and Biomedical Engineering (iJOE) 21, no. 09 (2025): 138–52. https://doi.org/10.3991/ijoe.v21i09.54723.

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The widespread adoption of smartwatches plays a crucial role in promoting healthy behaviors by tracking vital signs, monitoring daily activities, and encouraging more health-conscious living. Smartwatch technology is significant in its ability to raise awareness and motivate users, helping mitigate health risks associated with inactivity and unhealthy habits. This study surveyed 384 smartwatch users to examine their usage patterns and the impact of smartwatches on maintaining a healthy lifestyle. The findings reveal that integrating smartwatches into daily routines enhances health behaviors in

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Krithiga B and Marikkannan M. "A study on privacy of AI chatbots and session hijack." International Journal of Science and Research Archive 15, no. 3 (2025): 046–54. https://doi.org/10.30574/ijsra.2025.15.3.1671.

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The paper revolves around our daily usage of AI(s) and the rise of session hijack attackers on the web. Whatever people surf on the web is potentially vulnerable to attackers because the network is a web of connections, and the attackers are always finding a way to attack users and steal their data. Nowadays, using AI has become a part of daily routine regardless of field, profession, or usage. Most people use AI on the web since it is the most convenient way of using it without installing it on the device. However, most people don’t know that using something on the web may lead to session hij

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Naranjo-Campos, Francisco J., Ainhoa De Matías-Martínez, Juan G. Victores, José Antonio Gutiérrez Dueñas, Almudena Alcaide, and Carlos Balaguer. "Assistance in Picking Up and Delivering Objects for Individuals with Reduced Mobility Using the TIAGo Robot." Applied Sciences 14, no. 17 (2024): 7536. http://dx.doi.org/10.3390/app14177536.

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Individuals with reduced mobility, including the growing elderly demographic and those with spinal cord injuries, often face significant challenges in daily activities, leading to a dependence on assistance. To enhance their independence, we propose a robotic system that facilitates greater autonomy. Our approach involves a functional assistive robotic implementation for picking, placing, and delivering containers using the TIAGo mobile manipulator robot. We developed software and routines for detecting containers marked with an ArUco code and manipulating them using the MoveIt library. Subseq

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Joskow, Rebecca, Dilisha Patel, Anna Landre, et al. "Understanding the Impact of Assistive Technology on Users’ Lives in England: A Capability Approach." Bioengineering 12, no. 7 (2025): 750. https://doi.org/10.3390/bioengineering12070750.

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This study presents an analysis of England’s 2023 national assessment of assistive technology (AT) access and use, with a particular focus on the qualitative impact of AT as described by users. It aims to address limitations in conventional AT impact assessments, which often prioritize clinical outcomes or user satisfaction, by offering a deeper account of how impact is experienced in everyday life. Drawing on data from a nationally representative survey of 7000 disabled adults and children, as well as six focus group discussions and 28 semi-structured interviews with stakeholders across the W

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Chatterjee, Moinam, Praveen Kumar BN, and Aditya Jha. "ThinkHome – A Smart Home Initiative." International Journal of Computer Science and Mobile Computing 10, no. 4 (2021): 139–45. http://dx.doi.org/10.47760/ijcsmc.2021.v10i04.019.

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Smart home has evolved from exclusively referring to the centralized and semi-automated control of environmental systems. A smart home is also one of the applications of IoT. This paper presents the system architecture and methodologies used to create a new sophisticated smart home which creates user routines and predicts power consumption from the data received from the various sensors. Smart homes are those where daily household devices/ appliances can be monitored and controlled remotely. When these household devices are connected with the internet using proper network architecture and stan

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Gross, Tom, and Tony Malzhacker. "The Experience Sampling Method and its Tools: A Review for Developers, Study Administrators, and Participants." Proceedings of the ACM on Human-Computer Interaction 7, EICS (2023): 1–29. http://dx.doi.org/10.1145/3593234.

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The Experience Sampling Method (ESM) is a popular research method found in many fields to gather rich insights into participants' thoughts, emotions, and daily routines near the moment they happen. During the last decade, many technologically advanced ESM tools emerged that combine manually entered self-reports with automatically collected data from device sensors. In fact, it became difficult to keep track of them. We compiled a survey of ESM and its tools addressing technological capabilities for developers, study design opportunities for study administrators, and answering usability for stu

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Thorat, Vishwaraj. "MEDIGUIDE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35624.

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In the era of digital health management, Mediguide emerges as a comprehensive solution for individuals seeking efficient and organized management of their daily health routines. Mediguide is an application designed to streamline the process of tracking essential health metrics, including water intake and medication adherence, while also incorporating advanced features such as Report Interpreter. With Mediguide, users can effortlessly record their daily water consumption and medication intake, ensuring adherence to prescribed regimens. The standout feature, Report Interpreter, empowers users to

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Ronak, Italia. "A Study of Wearable Electronics Trends and Challenges." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 10, no. 6 (2024): 1–11. https://doi.org/10.5281/zenodo.14282138.

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Wearable electronics have rapidly evolved to become an integral part of modern life, offering a wide range of applications across healthcare, fitness, entertainment, and industrial sectors. These devices, driven by advancements in sensing technologies, artificial intelligence, and user-centric designs, are transforming how individuals interact with technology in their daily routines. Key trends in wearable electronics include AI-powered health monitoring systems, energy-efficient designs, and the integration of energy harvesting technologies. Despite these advancements, challenges such as batt

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Bidargaddi, Niranjan. "The Use of Websites and Modern Apps (i.e.: Ask PCOS, Ask Early Menopause, EndoZone)." Fertility & Reproduction 05, no. 04 (2023): 296. http://dx.doi.org/10.1142/s2661318223741103.

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Access to unprecedented information at finger tips has both benefits and drawback. In this talk I examine the transformative role of websites and mobile apps in access to, and the delivery of health information, specifically in reproductive and endometriosis healthcare. It sheds light on the challenges and solutions. The talk is organised in two parts. Initially, I delve into search engines and social media, illuminating the role of social algorithms in health information distribution. While these algorithms have made information more accessible, they often prioritize commercial interests over

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Toda, Kengo, Mutsuhisa Fujioka, Atsuhiro Fujii, et al. "A Home Healthcare System with Communication Robot Technologies – Development of Experimental Systems and in-Home Verification Experiments by Older Persons." Journal of Robotics and Mechatronics 23, no. 6 (2011): 951–68. http://dx.doi.org/10.20965/jrm.2011.p0951.

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We have been researching and developing a Home Health-Care System (H2CS) using Communication Robot Technologies (CRT) that supports a worry-free home life for older persons. Through a communication robot with voice interaction, a Graphical User Interface (GUI) and a chair with built-in health data sensing devices, the system determines the user’s state of health from the results of blood-pressure, body temperature, weight and information obtained by a medical interview. Users and their physicians can study and share this information. One of the system’s most problems is continuous measurement,

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