Incorporating Usability Testing into the Development of Healthcare Technologies

2016 ◽  
pp. 429-443
Author(s):  
Shilo H. Anders ◽  
Judith W. Dexheimer

The use of mobile devices in healthcare is increasing in prevalence and poses different constraints for use than traditional desktop computing. This chapter introduces several usability testing methods that are appropriate for use when designing and developing mobile technologies. Approaching the development of mobile technologies through a user-centered approach is critical to improve the interaction and use of the hardware and software that is implemented on a mobile platform in healthcare. User-centered design adds value by getting feedback about functionality, design, and constraints that need to be built into the system prior to its completion. Future work in this domain will require further tailoring and use of novel usability methods to evaluate and improve the design of mobile healthcare technologies.

Author(s):  
Shilo H. Anders ◽  
Judith W. Dexheimer

The use of mobile devices in healthcare is increasing in prevalence and poses different constraints for use than traditional desktop computing. This chapter introduces several usability testing methods that are appropriate for use when designing and developing mobile technologies. Approaching the development of mobile technologies through a user-centered approach is critical to improve the interaction and use of the hardware and software that is implemented on a mobile platform in healthcare. User-centered design adds value by getting feedback about functionality, design, and constraints that need to be built into the system prior to its completion. Future work in this domain will require further tailoring and use of novel usability methods to evaluate and improve the design of mobile healthcare technologies.


This study examined the mobile-assisted language learning studies published from 2007 to 2016 in selected journals from the aspects of adopted mobile devices, mobile learning systems/resources, and the benefits and challenges of utilizing mobile devices or learning systems/resources. The results revealed that the traditional mobile devices (e.g., Personal Digital Assistants, PDAs) and the current popular mobile devices (e.g., smartphones and tablet PCs) were frequently adopted for language learning in different time periods, while wearable devices have not been adopted by any language learning research so far. In addition, most of the studies used researcher-developed learning systems/resources, while the use of educational affordances of free applications or resources needs to be promoted. Furthermore, the abundant benefits of using mobile devices or mobile learning systems/resources for language acquisition were found in many studies, such as providing substantial chances for learning, and providing or building authentic environments for learners’ meaningful knowledge construction; on the other hand, the studies also reported several challenges (e.g., insufficient practice time and the lack of effective learning strategies) to be overcome in the future. Finally, several suggestions are provided for researchers or practitioners to conduct their future work.


2016 ◽  
pp. 834-844
Author(s):  
Linda M. Gallant ◽  
Gloria M. Boone ◽  
Christopher S. LaRoche

Context and the pervasive environment play a much greater role in mobile technology usage than stationary technology for which usability standards and methods were traditionally developed. The examination of mobile usability shows complex issues due to the ubiquitous and portable nature of mobile devices. This chapter presents the current state of mobile usability testing. More specially, topics covered are various usability testing methods, contextual complexity, audio interfaces, eye and hands-free interactions, augmented reality, and recommendation systems.


Author(s):  
Linda M. Gallant ◽  
Gloria Boone ◽  
Christopher S. LaRoche

Context and the pervasive environment play a much greater role in mobile technology usage than stationary technology for which usability standards and methods were traditionally developed. The examination of mobile usability shows complex issues due to the ubiquitous and portable nature of mobile devices. This chapter presents the current state of mobile usability testing. More specially, topics covered are various usability testing methods, contextual complexity, audio interfaces, eye and hands-free interactions, augmented reality, and recommendation systems.


2015 ◽  
Vol 8 (4) ◽  
pp. 26-37 ◽  
Author(s):  
Laura Briz-Ponce ◽  
Juan Antonio Juanes-Méndez

Mobile devices and apps are placed in a prominent position in the daily routine of all people. The ubiquity and mobility are their main advantages. They are really becoming tools available for students and professionals in order to be totally connected anywhere and for consulting and accessing information of any field. In fact, the use of these devices has sparked a positive impact on medical sector as they allow implementing and including new technologies to make students more prepared for their future work. The goal of this paper is to describe the main characteristics and the use of mobile technologies in this field. The mobile technology's scope covers tablets and Smartphones. To achieve this goal, a survey was conducted in the University of Salamanca and the participants were undergraduate students of Medical Schools and medical professionals. Results reveal that the usage of mobile devices and apps are spread out among them. However, it is still necessary an in-depth analysis of the potential and the use of specialized apps for medical education.


Author(s):  
Youness Zidoun ◽  
Nabil Zary

Background: In an age where information is generally accessible, most of the interest these days has focused on how accessible and convenient technology can be. So small and personal, mobile devices can transform our perception of learning by combining both mobility and convenience. Mobile learning is part of the digital learning landscape alongside e-learning and serious games. However, knowledge about effective design of mobile learning experiences remains of interest with a focus on appropriate design models and the embodiments that can be implemented to achieve the intended educational outcomes. Exploring the instructor's perspective on mobile learning is essential. Therefore, the aim of this study was to investigate the Moroccan instructors' perception and practice of mobile learning to inform the development of an ecologically valid mobile learning integration model. Methods: Higher education Instructors (n=41) were recruited to the study. The Moroccan instructors' perception and their experiences regarding their adoption of mobile learning were collected using an online survey. The analysis focused on their mobile use, perceived IT competency, and opinions on mobile learning. Results: We described most of the instructors' considerations regarding integrating mobile technologies into their teaching activities. We found that most of the mobile learning activities defined by the respondents corresponded to relatively advanced use of mobile devices. More promising, instructors have found innovative ways to use the educational potential of mobile devices. However, the prospect of mobile devices was still to challenge. No or poor Wi-Fi connection, number of devices or limited access, sometimes fees or applications incompatibility were identified as reasons and obstacles to mobile learning usage. Conclusion: Mobile learning is mostly perceived positively among Moroccan instructors allowing many applications and usage to enhance teaching and learning. In this study, a better understanding of aspects and factors influencing the integration of mobile learning in the Moroccan educational context is exposed, helping further the development of an ecologically valid mobile learning integration model. Future work on mobile learning should consider the highly paced evolution of mobile technologies, emphasizing the flexibility of integration frameworks to support instructors and learners.


2020 ◽  
Vol 5 (1) ◽  
pp. 40-47
Author(s):  
Ning Sa ◽  
Xiaojun (Jenny) Yuan

AbstractWith the development of mobile technologies, voice search is becoming increasingly important in our daily lives. By investigating the general usage of voice search and user perception about voice search systems, this research aims to understand users’ voice search behavior. We are particularly interested in how users perform voice search, their topics of interest, and their preference toward voice search. We elicit users’ opinions by asking them to fill out an online survey. Results indicated that participants liked voice search because it was convenient. However, voice search was used much less frequently than keyboard search. The success rate of voice search was low, and the participants usually gave up voice search or switched to keyboard search. They tended to perform voice search when they were driving or walking. Moreover, the participants mainly used voice search for simple tasks on mobile devices. The main reasons why participants disliked voice search are attributed to the system mistakes and the fact that they were unable to modify the queries.


Safety ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 17
Author(s):  
Miroslava Mikusova ◽  
Joanna Wachnicka ◽  
Joanna Zukowska

The topic of the use of mobile devices and headphones on pedestrian crossings is much less explored in comparison to the use of the mobile phone while driving. Recent years have seen many discussions on this issue, especially in foreign countries. The Slovak Republic, however, has not been giving it enough attention (and it is not mentioned in the National Road Safety Plan for the Slovak Republic from 2011 to 2020). This paper aims to draw attention to this issue. It presents basic outputs of a pilot study on pedestrian safety, with a focus on the use of mobile devices and headphones at selected non-signalized pedestrian crossings in three Slovak cities. Overall, 9% of pedestrians used headphones or mobile devices at observed pedestrian crossings (4% of them used headphones, 1% used headphones and at same time used their mobile phone, 2% made phone calls and 2% used their mobile phones). While these numbers can be considered relatively low, the study proved that during weekdays every 2 min someone was using the crossing without fully focusing on crossing the road safely. Another main finding was that although the safety risk at pedestrian crossings is increased by factors such as rush hour traffic or reduced visibility, pedestrian behavior related to the use of mobile phones and headphones does not change. A safety assessment was also carried out at the crossings. The results show that pedestrian behavior is not affected by the level of safety of the crossing (e.g., visibility of the crossing for drivers). The results of the presented analysis suggest that action is needed to change that. Due to the lack of information about accidents involving pedestrians using mobile phones and headsets when crossing the road, no relevant statistical data could be analyzed. The dataset collected can be used as a basis for further investigation or comparisons with other countries of the relevant indicators. In future work, we would like to include a pedestrian–driver interaction factor focusing on driver speed behavior in relation to pedestrians (who are on or are about to step onto a pedestrian crossing) and identify critical situations caused by improper behavior of drivers and/or pedestrians. This will help to understand speed adjustment problems related to pedestrian crossings.


2017 ◽  
Vol 21 (5) ◽  
pp. 1053-1076 ◽  
Author(s):  
Michal Kuciapski

Purpose Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model based on the unified theory of acceptance and use of technology (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management. Design/methodology/approach A conceptual model based on the UTAUT with new variables concerning relative usability (RU) and user autonomy (UA) and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private. Findings The UTAUT model extended by new variables like RU and UA explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer. Research limitations/implications This model explains the 55 per cent behavioral intention of employees to use mobile technologies for knowledge transfer. Even though it is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not verify whether m-learning acceptance for knowledge transfer is sector-specific. Practical implications Mobile technologies used for knowledge transfer by employees should allow for high UA through their ability to select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account UA and RU support the process of employees capturing, distributing and effectively using knowledge. Originality/value The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as UA and RU with several additional connections between existing UTAUT variables.


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