Population Stereotyped Icons: A Study of Agrarian Communities in India

Knowledge transfer is a key factor for increasing agriculture yield especially in developing countries like India. Information Communication Technologies (ICT) is the best platform for knowledge transfer. However, the expertise level of novice users living in India has compromised usage of ICT services. To fill the gap, we suggest for icons to be developed using population stereotype production method. In this study, we first generated population stereotype representations for sixteen different function labels. We then compared the performance and representativeness of these populationstereotyped icons with other ideas. Two separate experiments were conducted. In the first experiment, ninety-two participants from the farming communities were asked to draw images to represent sixteen function labels. In the second experiment, eighty-eight participants were equally distributed into four groups to evaluate the performance and representativeness of all the population-stereotyped representations. This study answered one of the most significant questions regarding the utility of using population-stereotyped ideas for the development of icons in the context of agrarian societies of rural India. The study also offered important practical implications for designing representative icons by using representations developed by different participants during population stereotype production

INFORMATION PRIVACY CONCERNS AMONG NOVICE AND EXPERT USERS OF SOLOMO

SoLoMo (Social-Local-Mobile) services are becoming dominant to the huge population of semiliterate users living in emerging economies due to low costs and ubiquity. However, usage of SoLoMo services is still susceptible by information privacy concerns. Studies typically addressed the ways to mitigate information privacy concerns for the literate users and not the semi-literate users. To fill the gap of semi-literate users and have a better understanding of the information privacy concerns among different communities, this study draws upon theories of privacy calculus, familiarity, intrinsic and extrinsic motivation and protection motivation to identify the precursors of information privacy concerns related to SoLoMo services and users’ expertise. The proposed research model is empirically tested in a laboratory experiment. The findings show that the two channels (covert and overt) of delivering SoLoMo services affect the degree of information privacy concerns between the literate and semi-literate users. Implications for improving usage intentions and mitigating information privacy concerns for SoLoMo services for different types of mobile applications are discussed

User-Accustomed Interaction: An Usability Approach for Designing Mobile Application for Novice and Expert Users

The development of smartphone applications is prevailing globally, including the underserved communities consisting of a huge group of novice users. In spite of the growing number of novice users, we hardly consider usability for users with varying expertise level when we evaluate performance and satisfaction with usage of mobile applications. In this study, we argue that it is not suitable to design one interface for all users of progressively varying communities. Based on theories in design science research, we propose a user-accustomed approach to adapt mobile applications that integrate three types of interaction elements, namely localization, structural navigation and illustration. In an investigation of the proposed approach on mobile application, we empirically proved the effects of user-accustomed interaction techniques on performance and satisfaction between novice and expert users. The findings provide significant theoretical and practical implications for design and implementation of user interfaces on mobile application

WristTrack? A Mobile Healthcare Surveillance System for Wrist Recovery Exercises

Physiotherapy is an important component for injury recovery. Progressive exercises can help in facilitating recovery when executed correctly, but it can cause damaging effects when done wrongly. However, not all patients are able to make it to the hospital every time due to reasons such as post-surgery immobility. This study introduces a self-served physiotherapy system for wrist exercises (i.e., WristTrack), allowing patients to perform wrist conditioning at their own time and place of convenience. The system integrates wearable devices with mobile and web platform, to capture, visualize and provide useful metrics for both doctors and patients to make steady progression in their recovery process

MULTIPLE REGRESSION AND ARTIFICIAL NEURAL NETWORK FOR THE PREDICTION OF CROP PEST RISKS

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