STEM Computing – 2021 UG Conference https://www.lancaster.ac.uk/2021ugconference Mon, 08 Mar 2021 21:14:29 +0000 en-US hourly 1 https://wordpress.org/?v=5.9 Andrew Mbavaya https://www.lancaster.ac.uk/2021ugconference/andrew-mbavaya/?utm_source=rss&utm_medium=rss&utm_campaign=andrew-mbavaya https://www.lancaster.ac.uk/2021ugconference/andrew-mbavaya/#respond Sun, 17 Jan 2021 22:53:24 +0000 https://www.lancaster.ac.uk/2021ugconference/rhd2wzap/  

Andrew Mbavaya

Andrew Mbavaya

Computing and Digital Technologies (B&FC) | Year 4 | Degree: Bachelors in Computer Science
Digitization of the five human senses for communication purposes (Survey Paper)

Tongue mounted interface in use
Tongue mounted interface in use

Home version of the Ophone
Home version of the Ophone

Conference Poster
Conference Poster


I believe the next sense to be digitized, and integrated into our everyday social media application, will be Taste,

To read the paper, follow this link: 


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]]> https://www.lancaster.ac.uk/2021ugconference/andrew-mbavaya/feed/ 0 Cheng Man Chan https://www.lancaster.ac.uk/2021ugconference/cheng-man-chan/?utm_source=rss&utm_medium=rss&utm_campaign=cheng-man-chan https://www.lancaster.ac.uk/2021ugconference/cheng-man-chan/#respond Sun, 17 Jan 2021 22:53:24 +0000 https://www.lancaster.ac.uk/2021ugconference/hm2nft46/  

Cheng Man Chan

Cheng Man Chan

Computing and Information Systems (Sunway) | Year 3 | Degree: BIS (Hons) Mobile Computing with Entrepreneurship
Using Augmented Reality and Location-Awareness to Enhance Visitor Experience: A Case Study of a Theme Park App


 

 

 

 

 

 

 

 

 

 

 

 

 

 

 



The Research


MOBILE TRAVEL has become a significant trend due to the emergence of smartphones and mobile technology. Existing researches show that the integration of location-based services (LBS) is potentially adding significant values to the mobile tourism industry. The purpose of this study is to develop a location-based mobile application for theme park visitors to enhance their visiting experience. The application of location-based solutions such as  interactive map, push notification services with geofencing and augmented reality tour guide will be involved in this study. Google Map SDK for Android, Google ARCore Sceneform, GeoFire and SQLite methodology is adopted to build the application. An online survey is conducted to evaluate the user acceptance for the mobile application by sending Android Package Kit (APK) to the users. The result shows that majority of respondents had a positive attitude towards the application and agreed that the application will enhance their park visiting experience. The conclusion can be drawn that the application can be further improved with features that contribute to the digitalization of outdoor parks or other fields in mobile tourism.


Tools & Techniques


Platform, Programming Language, Tools and Techniques

  • Android Studio 3.4 (Java, xml)
  • Android Map SDK
  • ARCore SDK
  • Ground Overlay
  • Google ARCore Sceneform 

Database

  • SQLite
  • GeoFire

Hardware 

  • Android Phone (Android 7.0 or higher)

 


Why am I researching in this area?


➀


I stayed at a hostel which nearby the amusement park when I studied in the university, I can hear the laughs and fun from my balcony everyday. One day my lecturer assigned us to do a mobile application project, then there’s a sudden thought popped into my mind: let’s build a theme park application! In the midst of assignment, I found that building mobile application can be fun and interesting. After the project, my supervisor, Dr Lau suggested me to carry it on and enhance the development with location-based features and augmented reality in my final year project…



➋


Application’s Major Functionalities


INTERACTIVE MAP

 


GEOFENCING NOTIFICATION

 


AR GUIDE/FEATURE

 


interactivemap_01
interactivemap_01

interactivemap_02
interactivemap_02

ar_01
ar_01





➂



Results & Findings


To evaluate the prototype, an online survey is conducted for the user acceptance testing by sending APK to the users and collecting their feedback through Google Forms. The survey is collecting their feedback on the user interface design,  usefulness and ease-of-use of the application, perceived enjoyment and attitude towards the developed application with the 5-likert scale. Overall, 12 responses are collected in the survey.  


Here are some suggestions on improvement taken from the survey which are all inspring to me (Thank you so much!) and also can be future developed to enhance the visitor experience.


We found that majority of the testers which are 58% and 41% agree or strongly agree that three main functions of the application are useful. When it comes to ease of use, 16.7% of the testers were neutral while the rest either agrees or strongly agrees. While majority (91.7%) agrees and strongly agrees that the application will enhance their visiting experience at the theme park.

Overall, the application has received very positive feedback as for its usefulness and ease of use. Hence, the user interface of the application, designed to be simple and user-friendly, is well received. From the survey questions on the willingness to adopt the application in their future visit, most of the respondents reflected that they will be using this application if the application is adopted by the theme park that they plan to visit in future.


❹



Conclusion


➎


The results from the user acceptance survey also show that the respondents are satisfied with the functionality of the application and agree that the application will enhance their visitor experience. The possibility to allow visitors make interaction with the application by finding or locating a point of interest or even making food order using location-based AR has showcased that how an AR visitor application can help in improving visitor experience which also contribute as the first step to the theme park digitalization.


The suggestions from the user testing are also can be considered as the input for potential future work. Also, it is important to think about suitable strategy to attract visitors to download the application. Commonly, visitors only need the application when they are inside the park and after their visits, they tend to uninstall the application. Ideas can be generated to encourage users to continue using the application so that they may return to the theme park soonest possible. In this way, the application can also become a marketing and engagement tool which will in return increase revenue.


 —— Aknowledgement ——-


I would like to express my very great appreciation to Assoc. Prof. Dr Lau Sian Lun, my research supervisor, for his ehthusiatic encouragement and guidance support of this research work. I wish to thank Lancaster UC Conference for giving me this precious chance to present my work. I would also like to thank Sunway Lagoon Management and the 12 anonymous respondents that participate in the survey. My grateful thanks are also extended to Ms. Lim Woan Ning, one of my favourite programming lecturer in Sunway University for always being helpful and understanding. Besides, I very much appreciate to my friends Ng Xin Hui, Choo En-Ni, Yeap Khor Chin, Liew Hui Yong, Lee Pui Yen, Tang Shu Jian, Tan Chen Lin and Kok Tim Joon who are always supporting me for every decision I made. Finally, I wish to thank my parents and family members for their support and encouragement throughout my study. 



Frankie has left me in December 2020, thank you very much for existing in my life, I miss you and I love you ♥









References


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]]> https://www.lancaster.ac.uk/2021ugconference/cheng-man-chan/feed/ 0 Magdalene Ho Wen Lin https://www.lancaster.ac.uk/2021ugconference/magdalene-ho-wen-lin/?utm_source=rss&utm_medium=rss&utm_campaign=magdalene-ho-wen-lin https://www.lancaster.ac.uk/2021ugconference/magdalene-ho-wen-lin/#respond Sun, 17 Jan 2021 22:53:24 +0000 https://www.lancaster.ac.uk/2021ugconference/g6fwut8c/  

Magdalene Ho Wen Lin

Magdalene Ho Wen Lin

Computing and Information Systems (Sunway) | Year 3 | Degree: Information System (Business Analytics)
Is Sentiment Analysis Prediction the Future of Traders in Forex Market?

<
>

 

This research focuses on the use of Sentiment Analysis to predict the movement of the Forex Currency


Sentiment analysis is an idea of extracting opinions and attitude from a language be it in a text or audio form, using various methods.


Foreign Exchange (Forex) trading is the buying and selling of the foreign currency in an international market such as exchanging US dollars for the UK pounds.  


… What nonsense is this? 

The text will be classified as: Negative


What do you think the computer will guess the emotion behind these sentences? 

Hover to find out! 


… I think this presentation is alright

The text will be classified as: Positive


… I need more explanation

The text will be classified as: Neutral



What exactly is Sentiment Analysis?  🤔


.

.

.



What about FOREX?  


In the trading market, the aim is to make profit by predicting the movement of the price where we sell when the price is high and vice versa.


The forex market is volatile due to the drastic and sudden change of the political, economic and social events.


Therefore… 

.

.

.


From the sentiment of the news headlines, machine learning will be able to accurately predict the movement of the currency. 






Why this area of research?


Prediction on the movement made easy and accurate which will bring more revenue



Many of us, I believe, had the imagination of being able to see the future so that we could prepare for it.



Traders will make less mistakes and will be more confident in their trading. 


So…

How was it done? 


A Support Vector Machine (SVM) algorithm, a machine learning technique is used as the approach to train the model with the input of sentiment analysis.


The collection of news headlines from different news sources is used to generate the sentiment value which is modelled together with the Forex movement through SVM in the creation of a real-world model for traders.


Example of how SVM works


Example of machine learning process


The Outcome



What is the Significance?


It was also found that the sentiment of the news will have great influence on the Forex movement


YES!!!

The accuracy is over 80% based on other studies


The year of 2020 has been very unpredictable …


This model is on based on the news events that happened in 2020


Traders in the future will benefit from this model as the world economy uncertainties would be more persistent in the coming years


Unpredictable events causes the market to be very volatile and it is difficult for traders to make quick decision


Hence…





Acknowledgements


I would like to express my deepest appreciation to my supervisor Dr. Low Yeh Ching who guided and supported me throughout this project. 


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]]> https://www.lancaster.ac.uk/2021ugconference/magdalene-ho-wen-lin/feed/ 0 Jordan Kee https://www.lancaster.ac.uk/2021ugconference/jordan-kee/?utm_source=rss&utm_medium=rss&utm_campaign=jordan-kee https://www.lancaster.ac.uk/2021ugconference/jordan-kee/#respond Sun, 17 Jan 2021 22:53:24 +0000 https://www.lancaster.ac.uk/2021ugconference/vup39ga5/
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