Cognitive Study of Products’ User Interfaces for Use by Elderly People

Author(s):  
Li-Hao CHEN ◽  
Chun WANG

This study investigated elderly users’ understanding of images and their perception of products. Various product function images served as testing samples, and participants were required to rank the various images. The results of this study revealed that the elderly participants easily recognized concrete images or images that were familiar. The elderly participants had various views concerning simplified images. Associative images that could not be associated with objects from daily life were not efficiently recognized. In the present study, we only explored the effect of shape and elements   used on elderly people’s understanding of images. The results of this study can serve as a reference for designers when constructing a product’s user interface to be used by elderly people.

i-com ◽  
2012 ◽  
Vol 11 (3) ◽  
pp. 3-7 ◽  
Author(s):  
Martin Burkhard ◽  
Michael Koch

AbstractSocial Networking Services could strengthen social ties between elderly people and families and friends. Due to the implications of aging and technical barriers existing user interfaces prove to be too complex and therefore not appropriate for most of the elderly. The goal of this paper is to present a holistic solution to enhance accessibility to Social Networks for elderly people. The solution combines an adapted (tablet) hardware, an adapted graphical user interface, and an adapted middleware for accessing the Social Networks.


10.3823/2314 ◽  
2017 ◽  
Vol 10 ◽  
Author(s):  
Karoline De Lima Alves ◽  
Mônica Rocha Rodrigues Alves ◽  
Célia Maria Cartaxo Pires de Sá ◽  
José Alves Xavier Junior ◽  
Kilma Da Cunha Barros ◽  
...  

The natural aging process accelerate the appearance and the installation of diseases and symptoms characteristic of the age in which the physical and cognitive aspects are compromised progressively. Increasing the necessity of specialized cares and intensive accompaniment. This study aimed to evaluate through the Nursing Activities Score appliance, the nursing team’s working load, destined to elderly people assisted at intensive unit care and subsidize the personal sizing according to what advocate the legislation. It is about a descriptive and documental study of quantitative approach. It was used as data basis 50 patient records of elderly users admitted at a public intensive unit care from João Pessoa, Paraíba, Brazil. It was determined that 56% (28) of the elderly in his first hospitalization day at the Intensive Unit Care, required a nursing high working load while 44% (42) a nursing low working load. Through the sum of the Nursing Activities Score average score, we can achieve the total of hours at the nursing assistance necessaries to the elderly patient care during the hospitalization. The average scores obtained by the total score, corresponded to 59.2 ± 7.8, transforming in hours according to the conducted calculus, correspond to 14.47 hours of nursing assistance turned to the elderly people. It is waited that the results can contribute to quantify the expended assistance time and also evidence the real necessity of the people to ensure safe and quality assistance practices to the elderly people.  Descriptors: Workload. Nursing. Aged. Intensive Care Units.


2021 ◽  
Vol 27 (1) ◽  
pp. 65-86
Author(s):  
Christian Moreira Matos ◽  
Vítor Kehl Matter ◽  
Márcio Garcia Martins ◽  
João Elison da Rosa Tavares ◽  
Alexandre Sturmer Wolf ◽  
...  

People with disabilities and the elderly face difficulties to fulfill their accessibility needs in their daily life routines, mainly when they have an emergency demanding speedy and specific assistance. This article proposes the SafeFollowing, a collaborative model to help people with disabilities and the elderly in smart assistive cities. The main contribution of this work is the specification of a decentralized model of ubiquitous accessibility, which involves public agents and volunteers to attend the users’ requests. SafeFollowing also allows the use of police vehicles mapping, in order to provide a specific follow-up in adverse situations of daily life. The model was validated through experiments in real case scenarios by 14 public agents and 11 elderly and people with disabilities. The results showed that 100% of evaluators (users and agents) stated that the model was useful and 82% of users and 100% of agents considered that SafeFollowing was easy to use. The experiments also allowed the learning of 5 relevant lessons on technological and usability aspects of SafeFollowing that are recorded in this article.


2019 ◽  
Vol 33 (1) ◽  
pp. 14-23
Author(s):  
Wachiraporn Wilaiwan ◽  
Wattasit Siriwong

Purpose The purpose of this paper is to evaluate health effects and determine the factors associated with health effects from smartphone and tablet use among the elderly in Thailand. Design/methodology/approach This study was a cross-sectional descriptive study. The participants comprised 490 elderly people. A self-administered questionnaire was used for data collection via the Healthy e-Elderly People Assessment mobile application in the Android operating system by Google which consists of five parts of a questionnaire. The variables were analyzed using SPSS such as frequency, percentage, mean and binary logistic regression. Findings Altogether, the participants were 223 males and 267 females; mean age=64.9±5.4. The average time spent using a mobile device was 2.8±1.9 h/day. Participants recorded that after use of either device, 59.0 percent experienced eye pain, 52.7 percent experienced dim eyes, 30.2 percent experienced tiredness, and 28.0 percent experienced moodiness. Socially, 26.8 percent recorded changes in social interaction. Periods of time using devices, time consumed in device usage (hours/day), the type of application, and the difference in times of use, place of usage and time spent in rest breaks from smartphone or tablet usage were significantly associated with health effects (p<0.05). Originality/value The elderly users may be at risk of several health effects from smartphone and tablet use. The potential gap in knowledge conceals some of the risk factors for the current health effects. Practical intervention to reduce health effects from the use of smartphones and tablets should be considered.


Author(s):  
Claas Ahlrichs ◽  
Daniel Kohlsdorf ◽  
Michael Lawo ◽  
Gerrit Kalkbrenner

IT-ASSIST is a twenty months research project which has the goal to give elderly people the opportunity to profit from digital media. Suffering from age related impairments concerning vision, hearing, or dexterity and bad hand-eye coordination are challenges when designing user interfaces for elderly people. Common approaches are trying to model systems for specific impairments. In this project, the authors follow the approach to set up interfaces and systems that can be used independent from personal impairments. Customization has adapted these systems to be in accordance with personnel impairments. Common applications like photo editing, digital mailing or internet browsing in a redesigned form provide social communication accordingly. In this article, a prototype of a customized user interface, its implementation, and results of user studies are presented and discussed.


Author(s):  
Nadir Antonio Pichler ◽  
Helenice de Moura Scortegagna ◽  
Jarbas Dametto ◽  
Dione Maria S. Frizon ◽  
Milena Paula Zancanaro ◽  
...  

Abstract Objective: To describe and reflect the possible relationships established by the elderly between happiness and money. Method: It is a qualitative, exploratory and descriptive research, carried out from a semi-structured interview with 19 elderly people, in their households, of both sexes in 2017 and 2018, in two states of the South region of Brazil, through content analysis. Results: What emerged in the voice of older people unfolded into two categories: Money as a way of life and Money does not bring happiness. Participants indicated relationships between happiness and money because money is one of the conditions to meet the basic needs of daily life, but it appeared as a propedeutic resource for happiness. They also reported that the obsessive pursuit of money can generate fascination, anxiety and depression. Conclusion: The participants indicated that money is a means to live well and be happy and was not considered the highest goal of their lives. He is not a promoter of happiness, but can contribute to the pursuit of peace, tranquility and inner satisfaction.


2013 ◽  
Vol 804 ◽  
pp. 261-266
Author(s):  
Xiao Ping Hu ◽  
Xia Feng ◽  
Ya Zhou ◽  
De Lai Men

Bag is an important stuff in daily life, which is used to carry personal necessary articles. The elderly people usually cant distinguish the articles in the bag easily due to the decrease of vision with age. Moreover, because of the poor immunity, the elderly people are easy to be infected by bacteria. The purpose of this paper is to design an elderly-specific bag which can help elderly people distinguish the articles by touch and avoid infection due to the contamination of food and drug by mixed together with money and keys etc. Questionnaires were prepared and given to 80 aged people to determine the stuffs which they usually carry in the bags. After statistical analysis, graphic symbols were designed to characterize the stuffs that the elderly people carry most often in daily life. These symbols were tested by the aged people to determine which is the most suitable to characterize the correspond stuff. After that a bag with these symbols and modular was designed.


Aula Abierta ◽  
2018 ◽  
Vol 47 (1) ◽  
pp. 131
Author(s):  
Susana Agudo Prado ◽  
Emilio Álvarez-Arregui ◽  
Alejandro Rodríguez Martín ◽  
María Isabel Rosal Fraga

RESUMENLas personas mayores usuarias de las Tecnologías de la Información y Comunicación (TIC) son el objeto de estudio en la presente investigación. Un análisis previo nos permite afirmar que la población mayor tan sólo hace uso de las TIC en un porcentaje poco representativo respecto al peso poblacional que los mayores tienen en la sociedad asturiana. Así, se hace necesario conocer de estos mayores, usuarios de las tecnologías emergentes, sus rasgos diferenciadores (de tipo personal y socio-demográfico), con el propósito de orientar unas pautas de actuación claras que permitan extender su uso a otras personas mayores favoreciendo, así, el envejecimiento activo. De ahí que el diseño mixto de la investigación vaya orientado a conocer en profundidad el nuevo perfil de las personas mayores usuarias de las tecnologías emergentes en Asturias.Palabras Clave: TIC, personas mayores, sociedad de la información, aprendizaje.ABSTRACTElderly people that use Information Technology and Communication (ICT) in Asturias are the object of study in the present investigation. A preliminary analysis allows affirming that elderly population that makes use of ICTs is a very small percentage of the total elderly population in Asturias. Thus, it is necessary to know the distinguishing characteristics (personal and socio-demographic) of this elderly users of Information Technologies and Communication, with the purpose of establishing some clear guidelines that allow extending ICS’s use to other elderly people. This is the reason why the mixed design of the investigation is focused in knowing in depth the profile of the elderly users of Information Technology and Communication in Asturias.Keywords: ICT, Elderly people, TIC, information society, learning.


2020 ◽  
Author(s):  
Faisal Hussain ◽  
Muhammad Basit Umair ◽  
Muhammad Ehatisham-ul-Haq ◽  
Ivan Miguel Pires ◽  
Tânia Valente ◽  
...  

Abstract Falling is a commonly occurring mishap with elderly people, which may cause serious injuries. Thus, rapid fall detection is very important in order to mitigate the severe effects of fall among the elderly people. Many fall monitoring systems based on the accelerometer have been proposed for the fall detection. However, many of them mistakenly identify the daily life activities as fall or fall as daily life activity. To this aim, an efficient machine learning-based fall detection algorithm has been proposed in this paper. The proposed algorithm detects fall with efficient sensitivity, specificity, and accuracy as compared to the state-of-the-art techniques. A publicly available dataset with a very simple and computationally efficient set of features is used to accurately detect the fall incident. The proposed algorithm reports and accuracy of 99.98% with the Support Vector Machine(SVM) classifier.


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