Short answer
To drive adoption of new technologies like AI-powered AR in tourism, focus on demonstrating clear value, ensuring ease of use, leveraging social influence, providing robust support, and making the experience enjoyable and habitual.
- Field
- Innovation & Markets
- Source
- Advances in marketing, customer relationship management, and e-services book series (2024)
- Method
- Quantitative research using a survey-based approach.
- Sample
- 137 participants
- Evidence
- Strong effect
User adoption of AI-powered mobile augmented reality in tourism is significantly driven by perceived effectiveness, ease of use, social influence, available support, enjoyment, and established habits. This innovation & markets research insight is drawn from a 2024 study published in Advances in marketing, customer relationship management, and e-services book series. Using Quantitative research using a survey-based approach. with 137 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: To drive adoption of new technologies like AI-powered AR in tourism, focus on demonstrating clear value, ensuring ease of use, leveraging social influence, providing robust support, and making the experience enjoyable and habitual.
AI-powered AR in Tourism: Key Drivers for User Adoption
User adoption of AI-powered mobile augmented reality in tourism is significantly driven by perceived effectiveness, ease of use, social influence, available support, enjoyment, and established habits.
Advances in marketing, customer relationship management, and e-services book series · 2024
Key Findings
- 01Perceived effectiveness has a significant positive impact on behavioral intention.
- 02Effort expectancy has a significant positive impact on behavioral intention.
- 03Social influence has a significant positive impact on behavioral intention.
- 04Facilitating conditions have a significant positive impact on behavioral intention.
- 05Hedonic motivation has a significant positive impact on behavioral intention.
Application
Design takeaway
To drive adoption of new technologies like AI-powered AR in tourism, focus on demonstrating clear value, ensuring ease of use, leveraging social influence, providing robust support, and making the experience enjoyable and habitual.
How to apply
When developing or promoting AR-based tourism services, ensure that user interfaces are intuitive, clearly communicate benefits, incorporate social sharing features, and offer comprehensive support resources.
Project actions
- 01When researching user adoption, consider using established frameworks like UTAUT2 to guide your investigation.
- 02Ensure your survey questions directly address the constructs of the chosen framework to allow for robust statistical analysis.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Utilizes a well-established theoretical framework (UTAUT2) for technology adoption.
- +Investigates a novel application of AI and AR in the tourism sector.
Limitations
The sample size might be considered small for broad generalizations, and the specific context of Pondicherry, India, might not reflect user attitudes in different global regions.
Reliability & validity
The use of statistical analysis on survey data contributes to reliability, while the application of the UTAUT2 framework lends theoretical validity to the study's findings.
Think critically
To what extent do cultural differences influence the weight of each adoption factor (e.g., social influence vs. perceived effectiveness) in different tourism markets?
Design Principles
"Technology adoption is a multi-faceted process influenced by perceived value, usability, social dynamics, environmental support, intrinsic enjoyment, and ingrained behaviors."
Understanding these drivers is crucial for designing and marketing new technology-enabled tourism services. It helps in developing strategies that address user needs and motivations, thereby increasing the likelihood of successful integration and uptake.
What This Means for Your Design
People are more likely to use new AI-powered AR apps for travel if they think the app is useful, easy to use, if their friends use it, if they have the help they need, if it's fun, and if they get used to using it.
How to use in your project
- 1.This research can be cited to justify the importance of user adoption factors when designing and evaluating new technological solutions in the tourism sector.
Add to My Project
Quick Cite
Paragraph starter
This study by Sankar and David (2024) highlights that user adoption of AI-powered mobile augmented reality in tourism is significantly influenced by a combination of perceived effectiveness, effort expectancy, social influence, facilitating conditions, hedonic motivation, and habit. These findings underscore the importance of designing user-centric AR experiences that are not only functional but also enjoyable and socially integrated to encourage widespread uptake in the tourism industry.
Source
Advances in marketing, customer relationship management, and e-services book series
A Comprehensive Examination of Mobile Augmented Reality in Tourism (MART) Adoption
journal · 2024
View sourceQuestions About This Research
- What does the research say about ai-powered ar in tourism: key drivers for user adoption?
- To drive adoption of new technologies like AI-powered AR in tourism, focus on demonstrating clear value, ensuring ease of use, leveraging social influence, providing robust support, and making the experience enjoyable and habitual. Evidence: Advances in marketing, customer relationship management, and e-services book series (2024).
- Why does "AI-powered AR in Tourism: Key Drivers for User Adoption" matter for design?
- Understanding these drivers is crucial for designing and marketing new technology-enabled tourism services. It helps in developing strategies that address user needs and motivations, thereby increasing the likelihood of successful integration and uptake.
- How can designers apply this research?
- To drive adoption of new technologies like AI-powered AR in tourism, focus on demonstrating clear value, ensuring ease of use, leveraging social influence, providing robust support, and making the experience enjoyable and habitual.
- What were the main findings?
- Perceived effectiveness has a significant positive impact on behavioral intention.. Effort expectancy has a significant positive impact on behavioral intention.. Social influence has a significant positive impact on behavioral intention.. Facilitating conditions have a significant positive impact on behavioral intention.
- What research method was used?
- Quantitative research using a survey-based approach. with 137 participants.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2024 journal from Advances in marketing, customer relationship management, and e-services book series.
- What should I do differently in my next project?
- When developing or promoting AR-based tourism services, ensure that user interfaces are intuitive, clearly communicate benefits, incorporate social sharing features, and offer comprehensive support resources.
- What are the limitations?
- The study was conducted in a specific geographical location (Pondicherry, India), which may limit the generalizability of findings to other cultural contexts or tourism markets.