Smartwatch Research Papers - Academia.edu (original) (raw)

The term “Wearable computing” brings to mind an image of a human-computer symbiote with circuitry embedded in his clothing, an electronic monocule for display and a onehanded input device. Although such systems may seem more the realm of... more

The term “Wearable computing” brings to mind an image of a human-computer symbiote with circuitry embedded in his clothing, an electronic monocule for display and a onehanded input device. Although such systems may seem more the realm of science fiction than everyday fact, researchers have demonstrated wearable computers with these characteristics. But is this the future of wearable computing? Just as personal computing is moving away from the beige box desktop, wearable computing will also not be a general- ...

This paper discusses and presents a new prototype design for a smartwatch user interface. The user interface was designed aiming to adhere to some of the main universal design principles and be a more usable design. The prototype user... more

This paper discusses and presents a new prototype design for a smartwatch user interface. The user interface was designed aiming to adhere to some of the main universal design principles and be a more usable design. The prototype user interface was then compared with a Samsung Gear S3 smartwatch user interface. The comparison was done via an experiment and a series of realistic tasks. The aspects being investigated were task times, errors and subjective user satisfaction. The data collected were statistically analysed. The overall results showed that the prototype user interface fostered faster task times, fewer errors and more user satisfaction.

This paper discusses and presents a new prototype design for a smartwatch user interface. The user interface was designed aiming to adhere to some of the main universal design principles and be a more usable design. The prototype user... more

This paper discusses and presents a new prototype design for a smartwatch user interface. The user interface was designed aiming to adhere to some of the main universal design principles and be a more usable design. The prototype user interface was then compared with a Samsung Gear S3 smartwatch user interface. The comparison was done via an experiment and a series of realistic tasks. The aspects being investigated were task times, errors and subjective user satisfaction. The data collected were statistically analysed. The overall results showed that the prototype user interface fostered faster task times, fewer errors and more user satisfaction.

Human connectivity is one of the major factors for productivity, especially in a school environment. The development of this watch is aimed at enhancing productivity by increasing the communication of both staff and students in the... more

Human connectivity is one of the major factors for productivity, especially in a school environment. The development of this watch is aimed at enhancing productivity by increasing the communication of both staff and students in the community. The watch is centred at creating a connected school community that will provide real-time communication to enhance the educational experience for students, staff and management regardless of their location within the school premises. This will enable members of the community to share information in real-time. The watch was designed with the Arduino pro-micro as the main processor. The watch leveraged WI-FI technology using the ESP8266-01 WI-FI module for connecting to a network and receiving of messages. The watch was connected to a secured intranet network. The watch has an average response time of approximately twenty-five (25) seconds to filter the data sent by the server and extract the message. Upon testing the design, the overall current draw of the watch was found to be approximately 78 mA. A lithium battery with a current capacity of 750 mAH was used for this project, which means that the battery will last for approximately nine hours. This kind of project is recommended for school communities so as to increase connectivity and enhance productivity.

Human connectivity is one of the major factors for productivity, especially in a school environment. The development of this watch is aimed at enhancing productivity by increasing the communication of both staff and students in the... more

Human connectivity is one of the major factors for productivity, especially in a school environment. The development of this watch is aimed at enhancing productivity by increasing the communication of both staff and students in the community. The watch is centred at creating a connected school community that will provide real-time communication to enhance the educational experience for students, staff and management regardless of their location within the school premises. This will enable members of the community to share information in real-time. The watch was designed with the Arduino pro-micro as the main processor. The watch leveraged WI-FI technology using the ESP8266-01 WI-FI module for connecting to a network and receiving of messages. The watch was connected to a secured intranet network. The watch has an average response time of approximately twenty-five (25) seconds to filter the data sent by the server and extract the message. Upon testing the design, the overall current ...

Human connectivity is one of the major factors for productivity, especially in a school environment. The development of this watch is aimed at enhancing productivity by increasing the communication of both staff and students in the... more

Human connectivity is one of the major factors for productivity, especially in a school environment. The development of this watch is aimed at enhancing productivity by increasing the communication of both staff and students in the community. The watch is centred at creating a connected school community that will provide real-time communication to enhance the educational experience for students, staff and management regardless of their location within the school premises. This will enable members of the community to share information in real-time. The watch was designed with the Arduino pro-micro as the main processor. The watch leveraged WI-FI technology using the ESP8266-01 WI-FI module for connecting to a network and receiving of messages. The watch was connected to a secured intranet network. The watch has an average response time of approximately twenty-five (25) seconds to filter the data sent by the server and extract the message. Upon testing the design, the overall current ...

The current study is based on an integrated research model developed by combining constructs from the Technology Acceptance Model (TAM) and other features affecting smartwatch effectiveness, such as content richness and user satisfaction... more

The current study is based on an integrated research model developed by combining constructs from the Technology Acceptance Model (TAM) and other features affecting smartwatch effectiveness, such as content richness and user satisfaction (SAT). TAM is used to locate factors influencing the adoption of the smartwatch (ASW). Most importantly, the current study focuses on factors influencing smartwatch acceptance and use in the medical area, facilitating and enhancing the effective role of doctors and patients. The present study's conceptual framework examines the close association between two-term TAM variables of perceived ease of use (PEU) and perceived usefulness (PU) and the constructs of user satisfaction and content richness. It also incorporates the flow theory (EXP) to measure the effectiveness of the smartwatch. The study also uses the flow theory to assess involvement and control over ASW. The study used a sample of 489 respondents from the medical field, including doctors, nurses, and patients. The study employed a hybrid analysis method combining Structural Equation Modeling (SEM) and an Artificial Neural Network (ANN) based on deep learning. The study also used Importance-Performance Map Analysis (IPMA) to determine the relevance and performance of the variables influencing ASW. Based on the ANN and IPMA analyses, user satisfaction is the most crucial predictor of intention to use a medical smartwatch. Applying the structural equation model to the sample shows that SAT, PU, PEU, and EXP significantly influence intention to use a medical smartwatch. The study also revealed that content richness is an important factor that enhances users' PU. The current study could enable healthcare provider practitioners and decision-makers to identify factors for prioritisation and to strategise their policies accordingly. Methodologically, this study indicates that a "deep ANN architecture" can determine the non-linear associations between variables in the theoretical model. Overall, the study finds that smartwatches are in high demand in the medical field and are useful in information transmission between doctors and their patients.

Os relógios inteligentes ou smartwatches conquistam cada vez mais espaço nos planos estratégicos das organizações jornalísticas para atrair a atenção dos consumidores de notícia e fomentar novos modelos de negócio. Neste artigo, o... more

Os relógios inteligentes ou smartwatches conquistam cada vez mais espaço nos planos estratégicos das organizações jornalísticas para atrair a atenção dos consumidores de notícia e fomentar novos modelos de negócio. Neste artigo, o objetivo é explorar dois casos do universo dos dispositivos móveis vestíveis: os aplicativos para Apple Watch do he New York Times e do R7. A partir de dados empíricos de observação sistemática, ichas de observação e entrevistas com editores digitais dos dois casos, a análise aborda o uso dos relógios inteligentes para ins
jornalísticos a partir do conceito de jornalismo de relance. Os resultados indicam que em ambos os casos, já existe uma estratégia de distribuição da notícia muito bem delimitada, na qual a notícia do relógio inteligente funciona como gatilho e catalizador do ecossistema desses casos em análise.

We present an innovative approach for the systematic construction of smartwatch apps starting from an analysis of the requested functionality. Based on the resulting functional requirements, we recommend to derive a suitable smartwatch... more

We present an innovative approach for the systematic construction of smartwatch apps starting from an analysis of the requested functionality. Based on the resulting functional requirements, we recommend to derive a suitable smartwatch app architecture based on the following five principles: 1) the need for dialogue management, 2) the need for a distributed architecture, 3) the advantages of a layered app architecture, 4) software engineering implications for the maintainability of the app with economic costs, and 5) the technical boundary conditions on the causal network of the app. The approach taken results from and is backed by our two year experiences on building smartwatch apps in the healthcare area.

The current study is based on an integrated research model developed by combining constructs from the Technology Acceptance Model (TAM) and other features affecting smartwatch effectiveness, such as content richness and user satisfaction... more

The current study is based on an integrated research model developed by combining constructs from the Technology Acceptance Model (TAM) and other features affecting smartwatch effectiveness, such as content richness and user satisfaction (SAT). TAM is used to locate factors influencing the adoption of the smartwatch (ASW). Most importantly, the current study focuses on factors influencing smartwatch acceptance and use in the medical area, facilitating and enhancing the effective role of doctors and patients. The present study's conceptual framework examines the close association between two-term TAM variables of perceived ease of use (PEU) and perceived usefulness (PU) and the constructs of user satisfaction and content richness. It also incorporates the flow theory (EXP) to measure the effectiveness of the smartwatch. The study also uses the flow theory to assess involvement and control over ASW. The study used a sample of 489 respondents from the medical field, including doctors, nurses, and patients. The study employed a hybrid analysis method combining Structural Equation Modeling (SEM) and an Artificial Neural Network (ANN) based on deep learning. The study also used Importance-Performance Map Analysis (IPMA) to determine the relevance and performance of the variables influencing ASW. Based on the ANN and IPMA analyses, user satisfaction is the most crucial predictor of intention to use a medical smartwatch. Applying the structural equation model to the sample shows that SAT, PU, PEU, and EXP significantly influence intention to use a medical smartwatch. The study also revealed that content richness is an important factor that enhances users' PU. The current study could enable healthcare provider practitioners and decision-makers to identify factors for prioritisation and to strategise their policies accordingly. Methodologically, this study indicates that a "deep ANN architecture" can determine the non-linear associations between variables in the theoretical model. Overall, the study finds that smartwatches are in high demand in the medical field and are useful in information transmission between doctors and their patients.

Review Xiaomi Amazt Bip yang Didesain Seperti Apple Watch