Sushil Shrestha

Kathmandu University

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Co-Authors

Sushant Subedi

Kathmandu University

Saugat Aadhikari

Kathmandu University

Poudel Prashant

Arun Timilsina

Kathmandu University

Aayush Giri

Kathmandu University

Manish Joshi

University of Calgary

Arpan Koirala

Kathmandu University

Gayathri Narayanan

Amrita Vishwa Vidyapeetham

Priza Subedi

Kathmandu University

Padam Bahadur Poudel

Kathmandu University

Cooperative Institutions

Kathmandu University

Tribhuvan University

Institute of Engineering

University of the West of England

Amrita Vishwa Vidyapeetham

B.P. Koirala Institute of Health Sciences

Nepal Development Research Institute

National Institute of Technology Tiruchirappalli

Pokhara University

Institute of Agriculture and Animal Science

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A Novel Virtual Reality Game for Disaster Management Applications

Rohith R. Krishnan Sushil Shrestha R. Hrishikesh Sayooj Devadas Aman Ganesh

VR serious games contain a wide variety of applications. Disaster Relief Management can be implemented using the VR game. VR games make the player feel like reality which will be more effective in these kinds of applications. This work simulates the effect of a flood so that the player gets a better understanding of disaster management techniques. The precautions to be taken before the flood occurs, are used as the gaming element. This game mainly focuses on the precautions and the rescue operations happening before and after the disaster. After playing or watching this game, the uneducated can also understand the steps to do in case disaster is happening. The game is designed by Kolb's Learning Method, most of which, is concerned with the learner's internal cognitive processes. Upon completion of this game, its effectiveness is observed by conducting a comparative study between book learning on disaster management and this Virtual Reality Game.

Happening

10.1109/iccsp.2019.8697956

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Citations (9)

AITB 2019 Conference Booklet

Rajen Kandel Asgar Mr Subash Mr Birendra Mr Manish Professor

Sentiment classification is an important process in understanding people's perception towards a product, service, or topic.Many natural language processing models have been proposed to solve the sentiment classification problem.However, most of them have focused on binary sentiment classification.In this paper, we use a promising deep learning model called BERT to solve the fine-grained sentiment classification task.Experiments show that our model outperforms other popular models for this task without sophisticated architecture.We also demonstrate the effectiveness of transfer learning in natural language processing in the process.

Sentiment Analysis

Transfer of learning

Binary classification

10.1109/aitb48515.2019.8947447

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Exploring the user’s preferences of different adaptation policies in adaptive menu design

Trends in Computer Science and Information Technology (2023)

Poudel Prashant Sushil Shrestha

Adaptive User Interfaces (AUIs) have been developed to improve the usability of products by adapting to the user, the platform, and the environment. However, there is a limited understanding of how different adaptation policies impact personalization and usability in adaptive menus. The present study aimed to investigate the effectiveness of different adaptation policies in adaptive menu design. The study surveyed computer science students at Kathmandu University and conducted a usability study to gather data. The results of the study showed that a majority of participants were neutral in their perception of the ease of use of the websites they regularly visit, but a strong majority (83%) indicated a preference for personalized menu options. Personalization was found to be a key factor in the effectiveness of adaptive menus. Participants valued the ability of adaptive menus to tailor their options based on their specific needs or preferences. The findings of this study provide insight into users’ preferences for adaptation policies in adaptive menus and suggest that a recency-frequency-based menu is most effective in meeting users’ needs. Similarly, findings also suggest users’ preference for adaptation policy also changes based on the context of use. Future research could further investigate the effectiveness of different adaptation policies in different contexts of use.

10.17352/tcsit.000062

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Enhancing Usability and Reliability in Digital Payment Platforms: Overcoming the Adoption Challenges

International Journal of Human-Computer Interaction (2025)

Aatish Shrestha Abhijeet Sharma Poudel Yugesh Upadhyaya Luitel Arpan Koirala Rushab Humagain

Digital payment platforms offer practicality and convenience; however, issues related to their reliability and usability have impeded their widespread adoption in Nepal. To investigate the matter, a survey involving 101 respondents was administered to gain insights into its perception and potential areas of improvement. The results unveiled an extensive list of mild to critical issues-rooted in sub-optimal network infrastructure, convoluted user interface (UI) elements, and inconsistent behavior of platforms that collectively deter users from digital payment platforms. Subsequently, a proof-of-concept (POC) application was designed, incorporating survey feedback along with the theory of Progressive Disclosure and Nielsen's Usability Heuristics. The prototype was evaluated by a group of individuals well-versed in the field of human–computer Interaction, along with a few layman respondents, to gather an impartial view of the platform. The study contributes to the existing literature, provides insights into the specific issues faced by users of digital payment platforms in Nepal, and proposes strategies to overcome these challenges.

10.1080/10447318.2024.2353959

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"TECHNOLOGY READINESS OF INSURANCE SERVICES: A CASE STUDY OF NEPAL"

Sushant Subedi Aayush Giri Saugat Aadhikari Sushil Shrestha

Technology infrastructure plays a crucial role in determining the readiness of E-services in any organization. The rapidevolution of technology and the diversification of customers have made it increasingly important to research theappropriate

10.33965/es_ml2023_202301l025

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Integration of Gamified Elements and Learning Style Data in Online Learning System

Journal of Educational Technology Systems (2023)

Sushil Shrestha Manish Joshi Aakash Bashyal Arun Timilsina Sushant Subedi

The increase in usage of Online Learning systems has provided a challenge to deliver e-contents based on user needs. This study uses learning style data to determine the learning profile and provide the content based on the user's needs, whereas gamified elements are used to increase user engagement. The combination of these two approaches would eventually increase the overall user motivation and interest in the platform. The model developed is used to predict the Learning Style (LS) preference by analyzing the activity data obtained from the student interaction in the course. Further, clustering is done to determine the LS preference of the user in the system. Content is designed based on user's learning styles and preferences and uploaded to the platform. Data were collected through surveys after the end of the course to measure students’ perception of the three variables: motivation, learning satisfaction, and learning outcomes. The findings from the study suggest that the students showed high motivation, positive learning outcomes, and satisfaction with the developed contents.

Preference learning

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10.1177/00472395231202004

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Adaptive menu: A review of adaptive user interface

Trends in Computer Science and Information Technology (2022)

Sushil Shrestha Poudel Prashant Adhikari Siza Adhikari Isha

Intelligent User Interface (IUI) is an emerging interdisciplinary research area that focuses on improving the usability of existing user interfaces. Adaptive menus are the part of the IUI that is trying to improve existing menus’ usability by reducing the selection time. This paper surveys the most relevant studies that are carried out in this field. First, it introduces an Adaptive User Interface (AUI) and adaptive menus then describe various adaptation styles and adaptation policies that are being used in adaptive menus along with their benefits and drawbacks. It then lists the applications of adaptive systems and how they can be used, as well as the limitations and future direction of the work.

Interface (matter)

Adaptive system

10.17352/tcsit.000059

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Designing Gamified E-Learning Experiences through Learner Motivation

Sushant Subedi Priza Subedi Dharanidhar Baral Sushil Shrestha Manish Joshi

Gamification in E-learning has improved learners' experience by identifying learning motivation, increasing the development of different skills among learners, and making learning enjoyable. The correlation gap between learners' motivation and gamification seems to be missing in different studies. This research paper aims to identify and design gamification elements on Learning Platforms based on learners' motivation. With learners' motivation, several gamified elements such as personalization can be identified and planned accordingly. Particularly, this paper shows the correlation between learners' motivation and the personalization gamification element. We have followed the Octalysis Gamification Framework for designing different gamification elements and a Short Self-regulatory questionnaire(SSRQ) to identify the learner's motivation. This study holds relevance to all the educational institutions and gamification researchers by providing a framework for implementation of Gamification Elements in the Online learning system.

10.36227/techrxiv.173833959.96934515/v1

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"TECHNOLOGY READINESS OF INSURANCE SERVICES: A CASE STUDY OF NEPAL"

Sushant Subedi Aayush Giri Saugat Aadhikari Sushil Shrestha

10.33965/es_ml2023_202302l025

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