Sustav za profiliranje vlasnika električnih vozila zasnovan na elementima igre

master's thesis

• Title (english): System for electric vehicle owner profiling based on gamification
• Author: Lara Dorčec
• Mentor: Vedran Podobnik (mentor)
• Committee member: Vedran Podobnik (predsjednik povjerenstva)
• Committee member: Ognjen Dobrijević (član povjerenstva)
• Committee member: Marina Bagić Babac (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-07-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Prihvaćanje električnih vozila (EV-ova) u ranoj fazi njihovog razvoja promiče se raznim mjerama među koje spada i besplatna usluga punjenja. Međutim, kako broj EV-ova raste te kako ona postaju tehnologija masovnog tržišta, vlasnici vozila bit će primorani plaćati uslugu punjenja, a koliko su vlasnici spremni platiti takvu uslugu postat će ključan parametar kako za transportnu, tako i za elektroenergetsku industriju. Stoga se, kroz ovaj rad, istražuje koliko vlasnici cijene uslugu punjenja na temelju raznih okolnosti. No, budući da ne postoje relevantni skupovi podataka koji bi koristili u svrhu ovog istraživanja, a ni gotova rješenja pomoću kojih bi se prikupljali podaci, implementiran je sustav za profiliranje vlasnika EV-ova. Sustav se sastoji od dvije vrste upitnika: klasični (tekstualni) i igrificirani te se osim spremnosti plaćanja, također ispituje korisničko iskustvo vezano uz obje vrste upitnika. Kroz analizu su identificirani značajni odnosi između spremnosti plaćanja i ostalih povezanih faktora poput stanja baterije prije punjenja. Rezultati su također uspoređeni sa sličnim istraživanjem iz literature. Konačno, na temelju analize korisničkog iskustva, zaključuje se da je upotreba elemenata igre dobar pristup kod anketiranja jer rezultira većom hedonističkom kvalitetom u usporedbi s klasičnim metodama.

Abstract (english)

Acceptance of electric vehicles (EVs) at the early stage of their evolution is promoted by various measures, including free charging services. But, as EVs are more and more becoming a mass-market technology, EV owners will be forced to pay for the charging service and their willingness to pay for the charging service will become a critical parameter for both transportation and energy industries. Therefore, this work explores how do people value the EV charging service based on various circumstances. However, since there are no relevant sets of data that would be used for this research and no out-of-the-box solutions to collect data, a system for profiling EV owners has been implemented. The system includes both the classic (text-only) questionnaire, as well as the game-based questionnaire. Besides the willingness to pay, respondents were also asked about their experience with both types of questionnaires. The analysis has identified significant relationships between willingness to pay and other related variables such as battery status before charging. The results were also compared with the related studies from the literature. Finally, evidence from user experience analysis of the questionnaires suggests that use of gamification is the beneficial approach to perform a survey as it has superior hedonic quality in comparison to the classic methods.

• Keywords: Električna vozila; spremnost plaćanja; usluga punjenja; anketa; igrifikacija
• Keywords (english): Electric Vehicles; Willingness to Pay; Charging Service; Survey; Gamification
• Language: croatian
• URN:NBN: urn:nbn:hr:168:984475
• Study programme: Title: Information and Communication Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 19:58:42