Developing and Evaluating AR for Food Ordering System based on Technological Acceptance Evaluation Approach: A Case Study of Restaurant's Menu Item Selection

Nazmi, Nurul Amera Muhamad; Rizhan, Wan Mohd; Rahim, Normala

doi:10.14445/22315381/ijett-v70i5p204

Cited by 4 publications

(7 citation statements)

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“…Regarding UTAUT-UTAUT2 in analysing TRPs, there are studies in specific fields as tourism apps (Ali et al, 2022;Kamboj and Joshi, 2021;Palos-Sanchez et al, 2021), recommendation tools (Assaker et al, 2020), entertainment (Aranyossy, 2022), restaurants (Nazmi et al, 2022;Palau-Saumell et al, 2019;Surya et al, 2021), or hotel booking (Nawaz et al, 2020;San Martin and Herrero, 2012).…”

Section: Scientific Research About Utaut/utaut2 In Trpsmentioning

confidence: 99%

“…For the last two decades, the field of technologies Information and Communication (TIC) advanced for opening a break-grounding change in business and management (Kraus et al, 2022;Lau and H€ oyng, 2023), also in channels of distribution in tourism and leisure industry (Buhalis and Law, 2008;Law et al, 2014;Martin-Fuentes and Mellinas, 2018). Other areas experiencing changes in TIC, such as restaurant reservation, evolved similarly to bring a revolution to the tourism and food sectors (Ye et al, 2011;Law et al, 2014;Thompson, 2015;Quaglione et al, 2020;Nazmi et al, 2022;Nigro et al, 2023), via product acquisition for introducing channels of distribution in the digital space (Xiang et al, 2015;Angeloni and Rossi, 2021), and via using multiple devices (Palau-Saumell et al, 2019;Kamboj and Joshi, 2021;Zanetta et al, 2021;Sharma et al, 2023). TIC areas being in the midst of changes, is happening for users planning their travelling, where users go ahead and make public a visualisation of the This paper has been developed under an art.…”

Section: Introductionmentioning

confidence: 99%

“…, 2011; Law et al ., 2014; Thompson, 2015; Quaglione et al. , 2020; Nazmi et al ., 2022; Nigro et al. , 2023), via product acquisition for introducing channels of distribution in the digital space (Xiang et al ., 2015; Angeloni and Rossi, 2021), and via using multiple devices (Palau-Saumell et al.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the use of travel and restaurant platforms through the UTAUT2 model

García de Blanes Sebastián,

Azuara Grande,

Sarmiento Guede

2023

BFJ

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PurposeReservation of travel and leisure services through the digital environment has gained a growing role in society, influencing the revolution of the sector. It needs to be noted that there is a considerable lack of formal approaches to the identification of factors for the positive reception and use of these digital tools. For this reason, it is necessary to establish the main factors influencing the adoption and use of digital travel and restaurant platforms (TRPs), adding to the theoretical model two new factors: trust and word-of-mouth (WOM). This paper aims to discuss the aforementioned ideas.Design/methodology/approachA theoretical model has been proposed, based on the extended unified theory of acceptance and use of technology (UTAUT2). Data collection was conducted through an online survey, in which 331 responses were compiled. Data obtained were analysed using structural equation modelling (SEM) with AMOS v27 software.FindingsThe results show that performance expectancy and WOM have a significant impact on the adoption of TRPs. However, it was found that effort expectancy, social influence, facilitating conditions, trust and price/value are not significant variables.Social implicationsThis research confirms that WOM communication positively influences the use of TRPs, facilitating various aspects for restaurant customers, including reducing wait times, streamlining the ordering process for allergic and intolerant customers, enhancing loyalty programs, order management and the opportunity to provide a personalised experience.Originality/valueThis study is the first to incorporate WOM variable into the extended UTAUT2 model applied to TRPs. Through a literature review, it has paved the way for significant future research directions that have not been adequately addressed by the scientific community, including the adoption and usage of food delivery platforms and online review platforms, as well as the behaviour of disabled customers towards these platforms.

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Section: Scientific Research About Utaut/utaut2 In Trpsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding the use of travel and restaurant platforms through the UTAUT2 model

García de Blanes Sebastián,

Azuara Grande,

Sarmiento Guede

2023

BFJ

View full text Add to dashboard Cite

show abstract

“…A concept called the Unified Theory of Acceptance and Use of Technology (UTAUT) integrates eight separate hypotheses to explain why people adopt and use technology [16]. It can account for 50% of the variations in technology usage and 70% of the variations in willingness to use technology [46]. UTAUT was initially developed for usage in business environments, but it can be used in other contexts as well.…”

Section: Unified Theory Of Acceptance and Use Of Technologymentioning

confidence: 99%

Validate the Users’ Comfortable Level in the Virtual Reality Walkthrough Environment for Minimizing Motion Sickness

Anua¹,

Ismail²,

Shapri³

et al. 2023

IJACSA

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Motion sickness is a common scenario for users when they are exposed to a virtual reality (VR) environment. It is due to the conflict that occurs in the brain that tells the user that they are moving in the environment, but the fact is that the user's body is sitting still causing them to get symptoms of motion sickness like nausea and dizziness. Therefore, motion sickness has become one of the main reasons why users still do not prefer to use VR to enhance their productivity. Motion sickness can be overcome by increasing the user's comfort level of walkthrough in the VR environment. Meanwhile, a popular VR simulation which is widely used in many industries is a walkthrough in a VR environment at a certain speed. This paper is focused on presenting the result of walkthroughs in a VR environment using movement speed and based on frame rates performance and adopting the unified theory of acceptance and use of technology (UTAUT) model construct variables namely performance expectancy (PE) and effort expectancy (EE) to measure the user's comfort level. A mobile VR, 'VR Terrain' application software was developed based on the proposed framework. The application software was tested by 30 users by moving around in a VR environment with 4 different movement speeds that were implemented into four colored gates using a head-mounted display (HMD). A descriptive and coefficient analysis was used to analyze all the data. The blue gate revealed the most comfortable, outperforming all other three gates. Overall, the most suitable speed to use for VR walkthrough is 4.0 km/h. The experiment result may be used to create a parameter for the VR developers to reduce the VR motion sickness effect in the future.

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“…TAM is a theoretical model that explains how users perceive and adopt new technologies [39]. The model was originally proposed by Davis in 1989 and later modified by Venkatesh and Davis in 2000.…”

Section: Data Collection and Analysismentioning

confidence: 99%

A Theoretical Framework for Creating Folk Dance Motion Templates using Motion Capture

Mazian,

Rizhan,

Rahim

et al. 2023

IJACSA

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Folk dance (FD) is a type of traditional dance that has been handed down through a culture or group from generation to generation. It is crucial to preserve and safeguard this type of cultural legacy since it can reflect the history and identity of particular nations. However, due to ineffective preservation and conservation techniques, the survival of FDs is being negatively impacted more and more. Its extinction may be caused by ignorance about and disregard for preservation and conservation efforts. The most efficient method for digitizing intangible cultural property, including FDs, is motion capture (MoCap). MoCap enables the conversion of real-time movement into digital performance to produce motion templates. This paper aims to provide suggestions and guidelines in conducting research to generate motion templates of FDs. Several key approaches are presented and discussed in detail, including acquaintance meetings, procedures and approval, interviews and experiments, and the framework. The proposed framework includes models for MoCap, skeleton generation, skeleton refinement, and evaluation. By implementing the proposed framework, the motion templates for FDs can be created. The generated motion templates will preserve and conserve FDs and guarantee their originality and authenticity.

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Developing and Evaluating AR for Food Ordering System based on Technological Acceptance Evaluation Approach: A Case Study of Restaurant's Menu Item Selection

Cited by 4 publications

References 0 publications

Understanding the use of travel and restaurant platforms through the UTAUT2 model

Understanding the use of travel and restaurant platforms through the UTAUT2 model

Validate the Users’ Comfortable Level in the Virtual Reality Walkthrough Environment for Minimizing Motion Sickness

A Theoretical Framework for Creating Folk Dance Motion Templates using Motion Capture

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