Mechanical Engineering Project Topics

Factors That Influence Travelers’ Perception Regarding the Use of Service Robots in Nigerian Airports.

Factors That Influence Travelers' Perception Regarding the Use of Service Robots in Nigerian Airports.

Factors That Influence Travelers’ Perception Regarding the Use of Service Robots in Nigerian Airports.

CHAPTER ONE

Objective of the study

The objective of this study is find out the factors that influence travelers’ perception regarding the use of service robots in Nigerian airports. The specific objectives are;

  1. To find out the traveler’s perception on social rules of robot in Nigeria airport
  2. To find out the traveler’s perception on human social behavior of robot in Nigeria airport

CHAPTER TWO

LITERATURE REVIEW

INTRODUCTION

Our focus in this chapter is to critically examine relevant literature that would assist in explaining the research problem and furthermore recognize the efforts of scholars who had previously contributed immensely to similar research. The chapter intends to deepen the understanding of the study and close the perceived gaps.

CONCEPTUAL FRAMEWORK

Air Travelling

Air travel is a form of travel in vehicles such as airplanes, jet aircraft, helicopters, hot air balloons, blimps, gliders, hang gliders, parachutes, or anything else that can sustain flight. Use of air travel has greatly increased in recent decades – worldwide it doubled between the mid-1980s and the year 2000. Modern air travel is much safer than road travel.

Air travel can be separated into two general classifications: national/domestic and international flights. Flights from one point to another within the same country are called domestic flights. Flights from a point in one country to a point within a different country are known as international flights. Travelers can use domestic or international flights in either private or public travel.

Travel class on an airplane is usually split into a two, three or four class model service. U.S. domestic flights usually have two classes: economy class and a domestic first class partitioned into cabins. International flights may have up to four classes: economy class; premium economy; business class or club class; and first class.

Most air travel starts and ends at a commercial airport. The typical procedure is check-in; border control; airport security baggage and passenger check before entering the gate; boarding; flying; and pick-up of luggage and limited to international flights another border control at the host country’s border.

 

CHAPTER THREE

RESEARCH METHODOLOGY

Research Design

The research method used for this study is descriptive survey. The comparative analysis was achieved by means of utilizing t-test statistic for the comparison of mean scores at 0.05 level of significance while, the responses questions were analyzed using mean and standard deviation.

Population and sample of the study

The population of the study include the one hundred and fifty (150) passengers at Nnamdi Azikiwe international airport, Abuja. The population was administered with questionnaire which one hundred and twenty-two (122) questionnaire were correctly filed and returned. This figure was adopted as the sample size for this study.

CHAPTER FOUR

PRESENTATION ANALYSIS INTERPRETATION OF DATA

Introduction

In this chapter, our focus would be to analyze the available data from the distributed questionnaire using simple percentages in order to provide answers to the research questions. Also, the hypotheses will be tested using the t-test statistical tool.

DATA ANALYSIS

The data collected from the respondents were analyzed in tabular form with simple percentage for easy understanding.

A total of 122 (one hundred and twenty-two) questionnaires were distributed and 122 questionnaires were returned.

CHAPTER FIVE

SUMMARY, CONCLUSION AND RECOMMENDATION

5.1 Introduction

It is important to ascertain that the objective of this study was on factors that influence travelers’ perception regarding the use of service robots in Nigerian airports. In the preceding chapter, the relevant data collected for this study were presented, critically analyzed and appropriate interpretation given. In this chapter, certain recommendations made which in the opinion of the researcher will be of benefits in addressing the challenges of influence travelers’ perception regarding the use of service robots in Nigerian airports. 5.2 Summary

This study was on Factors that influence travelers’ perception regarding the use of service robots in Nigerian airports. Two objectives were raised which included: To find out the traveler’s perception on social rules of robot in Nigeria airport and to find out the traveler’s perception on human social behavior of robot in Nigeria airport. In line with these objectives, three research questions and hypotheses were formulated and answered. The total population for the study is 150 selected travelers at Nnamdi Azikiwe international airport. The researcher used questionnaires as the instrument for the data collection. Descriptive Survey research design was adopted for this study.

5.3 Conclusion

Experiments with the complete system have shown that the robot is able to approach and engage with a person, receive a goal position and guide the person or a group to the goal while keeping track of the following person(s). If a failure of cooperation is detected when the person does not follow any more, it stops and waits for re-engagement. Encouraged by these results, a first deployment of the platform at the Nnamdi Azikiwe international airport airport is planned for the near future.

Recommendation

Airport has been using cleaning robots around the airport terminals and lounges that disinfect areas using ultraviolet (UV) light, which has been shown to efficiently kill harmful viruses and bacteria to provide a safe, secure environment for passengers. It encouraging for government to provide more robot in all the airport in Nigeria

References

  • Abbeel P, Ng AY (2004) Apprenticeship learning via inverse reinforcement learning. In: Proceedings of the Twenty-first International Conference on Machine Learning (ICML),
  • ACM Arras KO, Grzonka S, Luber M, Burgard W (2008) Efficient people tracking in laser range data using a multi-hypothesis leg-tracker with adaptive occlusion probabilities. In: Proc. IEEE Intern. Conf. on Robotics and Automation (ICRA)
  • Biber P, Straßer W (2003) The normal distributions transform: a new approach to laser scan matching. In: IROS, IEEE, pp 2743–2748
  • Burgard W, Cremers A, Fox D, Hahnel D, Lakemeyer G, Schulz D, Steiner W, Thrun S (2000) ¨ Experiences with an interactive museum tour-guide robot. Artificial Intelligence 114(1-2):3–55
  • Cox I, Hingorani S (1996) An efficient implementation of Reid’s multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking.
  •  IEEE Trans Pattern Anal Mach Intell (PAMI) 18(2):138–150
  •  Cristani M, Pesarin A, Vinciarelli A, Crocco M, Murino V (2012) Look at who’s talking: Voice activity detection by automated gesture analysis. In: Constr. Ambient Intell., Springer, pp 72–80
  •  Fiore M, Clodic A, Alami R (2014) On Planning and Task achievement Modalities for HumanRobot Collaboration. In: The Intern. Symp. on Experimental Robotics
  •  Hall ET (1966) The Hidden Dimension. Anchor Books New York
  •  Hung H, Huang Y, Friedland G, Gatica-Perez D (2011) Estimating dominance in multi-party meetings using speaker diarization. Tr on Audio, Speech, and Language Processing 19(4):847–860
  • Jafari OH, Mitzel D, Leibe B (2014) Real-Time RGB-D based People Detection and Tracking for Mobile Robots and Head-Worn Cameras. In: Int. Conf. on Robotics and Automation (ICRA)
  • Joosse M, Poppe R, Lohse M, Evers V (2014) Cultural Differences in how an Engagement-Seeking Robot should Approach a Group of People. In: Proc. Intern. Conf. on Collaboration Across Boundaries: Culture, Distance & Technology (CABS)
  •  Joosse MP, Lohse M, Evers V (2015) How a guide robot should behave at an airport insights based on observing passengers. Technical Report TR-CTIT-15-01,
  • Enschede Karaman S, Frazzoli E (2010) Incremental Sampling-based Algorithms for Optimal Motion Planning. In: Proc. of Robotics: Science and Systems (RSS)