295-OR: User Acceptance of the Eversense® CGM System in a Home Use Setting: The House Study

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 295-OR
Author(s):  
MAGNUS LONDAHL ◽  
MONA LANDIN-OLSSON ◽  
STIG ATTVALL
Keyword(s):  
User Acceptance

Technology characteristics predicting end user acceptance of smart intravenous infusion pumps

2005 ◽  
Author(s):  
Tosha B. Wetterneck ◽  
Pascale Carayon ◽  
Folasade Sobande ◽  
Ann Schoofs Hundt
Keyword(s):  
Intravenous Infusion ◽  
User Acceptance ◽  
End User ◽  
Infusion Pumps

PERANCANGAN APLIKASI PEMESANAN CATERING BERBASIS MOBILE ANDROID

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Mamay Syani ◽  
Nindi Werstantia
Keyword(s):  
Data Storage ◽  
Research Methodology ◽  
Positive Response ◽  
User Acceptance ◽  
Extreme Programming ◽  
Accurate Information ◽  
Acceptance Test ◽  
Android Application ◽  
Order Process ◽  
Food Packages

Ordering catering is an activity undertaken by customers to buy products in the form of food packages. In Cimahi Catering catering ordering process is done by customers by coming directly to the location or calling to Cimahi Catering. Based on interviews with the authors related parties, in the process of ordering catering there are some customers who complain about the order process is due to take time, energy and more costs. In the case of recording data ordering was deemed less effective because the data is still conventional. This is at risk of logging errors. As a solution of these problems the authors build an Application Ordering Catering Based Android Mobile to assist in the process of ordering catering by customers and the management of reservation data catering by the Cimahi Catering. Research methodology used is Extreme Programming method. In making this application the author uses android programming base and MySQL as the data storage. This application is made to efficiently time, effort and produce accurate information. The results of testing the built application has a performance that suits the needs of the user. Based on the results of User Acceptance Test get a positive response with 85% percentage. Keyword: Android, application, catering, mobile, ordering, uat

Trust and fuzzy inference based cross domain serendipitous item recommendations (TFCDSRS)

2021 ◽  
pp. 1-13
Author(s):  
Richa ◽  
Punam Bedi
Keyword(s):  
Fuzzy Inference ◽  
Mean Absolute Error ◽  
Information Filtering ◽  
Absolute Error ◽  
User Acceptance ◽  
Decision Making Process ◽  
End User ◽  
Cross Domain ◽  
F Measure ◽  
Filtering Approach

Recommender System (RS) is an information filtering approach that helps the overburdened user with information in his decision making process and suggests items which might be interesting to him. While presenting recommendation to the user, accuracy of the presented list is always a concern for the researchers. However, in recent years, the focus has now shifted to include the unexpectedness and novel items in the list along with accuracy of the recommended items. To increase the user acceptance, it is important to provide potentially interesting items which are not so obvious and different from the items that the end user has rated. In this work, we have proposed a model that generates serendipitous item recommendation and also takes care of accuracy as well as the sparsity issues. Literature suggests that there are various components that help to achieve the objective of serendipitous recommendations. In this paper, fuzzy inference based approach is used for the serendipity computation because the definitions of the components overlap. Moreover, to improve the accuracy and sparsity issues in the recommendation process, cross domain and trust based approaches are incorporated. A prototype of the system is developed for the tourism domain and the performance is measured using mean absolute error (MAE), root mean square error (RMSE), unexpectedness, precision, recall and F-measure.

scholarly journals Future Trend in Wearable Electronics in the Textile Industry

2021 ◽  
Vol 11 (9) ◽  
pp. 3914
Author(s):  
Chi-Wai Kan ◽  
Yin-Ling Lam
Keyword(s):  
Human Brain ◽  
Textile Industry ◽  
Wearable Technology ◽  
User Acceptance ◽  
Future Trend ◽  
Wearable Electronics ◽  
External Conditions ◽  
Electronic Textile ◽  
User Friendly ◽  
Smart Wearable

Smart wearable textiles can sense, react, and adapt themselves to external conditions or stimuli, and they can be divided into active and passive smart wearable textiles, which can work with the human brain for cognition, reasoning, and activating capacity. Wearable technology is among the fastest growing parts of health, entertainment, and education. In the future, the development of wearable electronics will be focused on multifunctional, user-friendly, and user acceptance and comfort features and shall be based on advanced electronic textile systems.

scholarly journals A Conceptual Framework and Propositions for the Acceptance of Mobile Services

2007 ◽  
Vol 2 (2) ◽  
pp. 61-73 ◽  
Author(s):  
Sally Rao ◽  
Indrit Troshani
Keyword(s):  
Mobile Services ◽  
User Acceptance ◽  
Future Research ◽  
Research Directions ◽  
Consumer Adoption ◽  
Business Opportunities ◽  
Managerial Implications ◽  
Lead Users ◽  
Future Research Directions ◽  
Insight Into

Mobile services are heralded to create a tremendous spectrum of business opportunities. User acceptance of these services is of paramount importance. Consequently, a deeper insight into theory-based research is required to better understand the underlying motivations that lead users to adopting mobile services. As mobile services bring additional functional dimensions, including hedonic and experiential aspects, using extant models for predicting mobile services acceptance by individuals may be inadequate. The aim of this paper is to explore, analyse and critically assess the use of existing acceptance theories in the light of the evolving and ubiquitous mobile services and their underlying technologies. Constructs affecting consumer adoption behaviour are discussed and relevant propositions are made. Managerial implications are explored and future research directions are also identified.

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