A Descriptive Model for End-User Acceptance of Information Centers

1991 ◽  
Vol 4 (4) ◽  
pp. 14-27 ◽  
Author(s):  
Charles R. Franz
Author(s):  
Tosha B. Wetterneck ◽  
Pascale Carayon ◽  
Folasade Sobande ◽  
Ann Schoofs Hundt

2021 ◽  
pp. 1-13
Author(s):  
Richa ◽  
Punam Bedi

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.


JAMIA Open ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 49-61
Author(s):  
Tera L Reynolds ◽  
Patricia R DeLucia ◽  
Karen A Esquibel ◽  
Todd Gage ◽  
Noah J Wheeler ◽  
...  

Abstract Objective To evaluate end-user acceptance and the effect of a commercial handheld decision support device in pediatric intensive care settings. The technology, pac2, was designed to assist nurses in calculating medication dose volumes and infusion rates at the bedside. Materials and Methods The devices, manufactured by InformMed Inc., were deployed in the pediatric and neonatal intensive care units in 2 health systems. This mixed methods study assessed end-user acceptance, as well as pac2’s effect on the cognitive load associated with bedside dose calculations and the rate of administration errors. Towards this end, data were collected in both pre- and postimplementation phases, including through ethnographic observations, semistructured interviews, and surveys. Results Although participants desired a handheld decision support tool such as pac2, their use of pac2 was limited. The nature of the critical care environment, nurses’ risk perceptions, and the usability of the technology emerged as major barriers to use. Data did not reveal significant differences in cognitive load or administration errors after pac2 was deployed. Discussion and Conclusion Despite its potential for reducing adverse medication events, the commercial standalone device evaluated in the study was not used by the nursing participants and thus had very limited effect. Our results have implications for the development and deployment of similar mobile decision support technologies. For example, they suggest that integrating the technology into hospitals’ existing IT infrastructure and employing targeted implementation strategies may facilitate nurse acceptance. Ultimately, the usability of the design will be essential to reaping any potential benefits.


2019 ◽  
Vol 74 ◽  
pp. 255-276 ◽  
Author(s):  
Bernd Herrenkind ◽  
Alfred Benedikt Brendel ◽  
Ilja Nastjuk ◽  
Maike Greve ◽  
Lutz M. Kolbe
Keyword(s):  

2018 ◽  
Author(s):  
Lorenz Harst ◽  
Hendrikje Lantzsch ◽  
Madlen Scheibe

BACKGROUND Only a few telemedicine applications have made their way into regular care. One reason is the lack of acceptance of telemedicine by potential end users. OBJECTIVE The aim of this systematic review was to identify theoretical predictors that influence the acceptance of telemedicine. METHODS An electronic search was conducted in PubMed and PsycINFO in June 2018 and supplemented by a hand search. Articles were identified using predefined inclusion and exclusion criteria. In total, two reviewers independently assessed the title, abstract, and full-text screening and then individually performed a quality assessment of all included studies. RESULTS Out of 5917 potentially relevant titles (duplicates excluded), 24 studies were included. The Axis Tool for quality assessment of cross-sectional studies revealed a high risk of bias for all studies except for one study. The most commonly used models were the Technology Acceptance Model (n=11) and the Unified Theory of Acceptance and Use of Technology (n=9). The main significant predictors of acceptance were perceived usefulness (n=11), social influences (n=6), and attitude (n=6). The results show a superiority of technology acceptance versus original behavioral models. CONCLUSIONS The main finding of this review is the applicability of technology acceptance models and theories on telemedicine adoption. Characteristics of the technology, such as its usefulness, as well as attributes of the individual, such as his or her need for social support, inform end-user acceptance. Therefore, in the future, requirements of the target group and the group’s social environment should already be taken into account when planning telemedicine applications. The results support the importance of theory-guided user-centered design approaches to telemedicine development.


2020 ◽  
Vol 10 (4) ◽  
pp. 567-583
Author(s):  
Arinola Adefila ◽  
Amal Abuzeinab ◽  
Timothy Whitehead ◽  
Muyiwa Oyinlola

PurposeThis paper develops a novel user-acceptance model for circular solutions to housing design. The model has been systematically developed from a case study of an upcycled plastic bottle building in a low-income community in Nigeria. It is common practice to use participatory approaches to consult end users in communities, typically after design concepts have been proposed and conceptualised. However, this often leads to critical socio-cultural or usability elements being overlooked and the design being substandard. Therefore, this paper develops a robust model for designers, specialists and activists involved in construction that can be used during all phases of a project. This approach demonstrates that user needs should be considered before building designs and plans are generated, providing a greater frame of reference for practitioners, consultants and end users. Enabling the integration of holistic needs of the community and the development of circular design solution.Design/methodology/approachA case study methodology has been employed to develop this model, uses appreciative inquiry methodology. This includes multiple methods to capture end users’ perception: focus groups, interactions with the local community and self-recorded comments. This case study is part of a broader research project to develop replicable low-cost self-sufficient homes utilising local capacity using upcycled, locally available materials.FindingsThe findings identify the challenges associated with designing circular solution housing without a robust understanding of interrelated factors, which ensure sustainability and user acceptance. The conclusions demonstrate why essential socio-cultural factors, usually unrelated to technical development, should be understood and contextualised when designing sustainable solutions in low/middle-income communities. The authors argue that without this holistic approach, undesirable consequences may arise, often leading to more significant challenges. Instead of referring to multiple frameworks, this distinctive model can be used to evaluate user acceptance for low-cost housing in particular and other dimensions of circular solution design that involve end-user acceptance. The model blends circular solution dimensions with user-acceptance concerns offering a guide that considers essential features that are both user-friendly and pragmatic, such as utility, technological innovation and functionality as well as their intersectionality.Research limitations/implicationsThe research relied on a single case study, which focussed on end-user engagement of upcycling waste materials as an application of circular solutions. The model will contribute to developing socially accepted circular solutions taking into consideration local context factors.Originality/valueThe paper is proposing a model for user acceptance of circular construction materials relevant to low- and middle-income countries (LMICs).


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