BMF CP39: Attraction of the cosmos: How information inducing happiness and impression affects attitudes toward space tourism

AISDL Team
Email: aisdl_team@mindsponge.info

May 29, 2023

1. Project description

1.1. Main objectives

Space tourism is a new field with limited customers with real experiences. This study aims to examine how information from social media affects people’s attitudes toward wanting to try space tourism. Two important dimensions of the information are the degree of attached meaning (inducing happiness) and influencing intensity (inducing impression). Furthermore, information reliability (authenticity) may act as a facilitator of information reception.

1.2. Materials

In this research project, we use a dataset of 339 respondents from Mainland China, Hong Kong, Macau, and Taiwan [1]. The research project follows the Bayesian Mindsponge Framework (BMF) [2-4]. The bayesvl R package will be employed for statistical analyses [5]. Data and code snippets for this initial analysis were deposited at https://osf.io/hr4ab/

1.3. Main findings

If the information about space tourism on social media induces happiness in people, they are more likely to want to try space tourism. This association is positively moderated by information authenticity (the information sources are perceived as real and trustworthy).



Figure 1. Posterior distribution at 90% HPDI for the Happiness model

Regarding intensity, if the information is impressive (the immersiveness of space properties being presented), people are also more likely to want to try space tourism. Information authenticity also has a positive moderating effect on this association.



Figure 2. Posterior distribution at 90% HPDI for the Impressiveness model

2. Collaboration procedure

Portal users should follow these steps to register to participate in this research project:

1. Create an account on the website (preferably using an institution’s email).
2. Comment your name, affiliation, and desired project role below this post.
3. Patiently wait for the formal agreement on the project from the AISDL mentor.

If you have further inquiries, please contact us at aisdl_team@mindsponge.info

If you have been invited to join the project by an AISDL member, you are still encouraged to follow the above formal steps.

All the resources for conducting and writing the research manuscript will be distributed upon project participation.

AISDL mentor for this project: Tam-Tri Le.

AISDL members who have joined this project: Ruining Jin, Minh-Hoang Nguyen, Quan-Hoang Vuong.

The research project strictly adheres to scientific integrity standards, including authorship rights and obligations [6], without incurring an economic burden at participants’ expenses [7].

References

[1] Peng KL, Chan X, Wu CH. (2023). Space tourism flow generated from social media data. Data in Brief, 48, 109061.

[2] Nguyen MH, La VP, Le TT, Vuong QH. (2022). Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research. MethodsX, 9, 101808.

[3] Vuong QH, Nguyen MH, La VP. (2022). The mindsponge and BMF analytics for innovative thinking in social sciences and humanities. De Gruyter.

[4] Vuong QH. (2023). Mindsponge Theory. De Gruyter.

[5] La VP, Vuong QH. (2019). bayesvl: Visually Learning the Graphical Structure of Bayesian Networks and Performing MCMC with ‘Stan’. The Comprehensive R Archive Network.

[6] Vuong QH. (2020). Reform retractions to make them more transparent. Nature, 582(7811), 149.

[7] Vuong QH. (2018). The (ir)rational consideration of the cost of science in transition economies. Nature Human Behaviour, 2(1), 5.