"How do demographic factors and GPT familiarity affect contribution decisions in public goods games?"

The public goods game has been used extensively to investigate cooperation in situations of social dilemmas. In a public goods game, individual members of a group determine how much of their individual endowment to contribute to a group account. Contributions are multiplied by a constant m (>1) a...

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Main Authors: Punjabi Jash Prakash, Hoo, Jing Ting, Jindal, Anushka, Chung, Travis Jun Yang
Other Authors: Bao Te
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175049
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1750492024-04-21T15:32:08Z "How do demographic factors and GPT familiarity affect contribution decisions in public goods games?" Punjabi Jash Prakash Hoo, Jing Ting Jindal, Anushka Chung, Travis Jun Yang Bao Te School of Social Sciences baote@ntu.edu.sg Social Sciences The public goods game has been used extensively to investigate cooperation in situations of social dilemmas. In a public goods game, individual members of a group determine how much of their individual endowment to contribute to a group account. Contributions are multiplied by a constant m (>1) and then distributed evenly among all group members, regardless of their individual contributions (Thielmann et al., 2020). In this paper, we test the influence of various demographic variables, such as gender, age, investment background, statistical background, and level of GPT familiarity, on individuals’ contribution decisions in the public goods game, building on the study by Bao and Pei (2023), where they identified cognitive uncertainty to be a significant factor in influencing contribution decisions. We design 3 linear regression models to investigate these effects and conduct OLS regression. Notably, we observe a nuanced relationship between GPT exposure and cognitive uncertainty. Individuals encountering GPT for the first time exhibit heightened cognitive uncertainty. Females usually exhibit higher cognitive uncertainty and greater contribution deviation compared to male participants. Individuals with a background in investments and statistics tend to exhibit lower cognitive uncertainty and tend to contribute more. Generally, older age tends to be associated with lower cognitive uncertainty and lower contribution deviation. Collectively, these insights confirm the hypothesised effects of GPT familiarity, demographic attributes, and game dynamics on economic decision-making. Bachelor's degree 2024-04-19T01:33:56Z 2024-04-19T01:33:56Z 2024 Final Year Project (FYP) Punjabi Jash Prakash, Hoo, J. T., Jindal, A. & Chung, T. J. Y. (2024). "How do demographic factors and GPT familiarity affect contribution decisions in public goods games?". Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175049 https://hdl.handle.net/10356/175049 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Social Sciences
spellingShingle Social Sciences
Punjabi Jash Prakash
Hoo, Jing Ting
Jindal, Anushka
Chung, Travis Jun Yang
"How do demographic factors and GPT familiarity affect contribution decisions in public goods games?"
description The public goods game has been used extensively to investigate cooperation in situations of social dilemmas. In a public goods game, individual members of a group determine how much of their individual endowment to contribute to a group account. Contributions are multiplied by a constant m (>1) and then distributed evenly among all group members, regardless of their individual contributions (Thielmann et al., 2020). In this paper, we test the influence of various demographic variables, such as gender, age, investment background, statistical background, and level of GPT familiarity, on individuals’ contribution decisions in the public goods game, building on the study by Bao and Pei (2023), where they identified cognitive uncertainty to be a significant factor in influencing contribution decisions. We design 3 linear regression models to investigate these effects and conduct OLS regression. Notably, we observe a nuanced relationship between GPT exposure and cognitive uncertainty. Individuals encountering GPT for the first time exhibit heightened cognitive uncertainty. Females usually exhibit higher cognitive uncertainty and greater contribution deviation compared to male participants. Individuals with a background in investments and statistics tend to exhibit lower cognitive uncertainty and tend to contribute more. Generally, older age tends to be associated with lower cognitive uncertainty and lower contribution deviation. Collectively, these insights confirm the hypothesised effects of GPT familiarity, demographic attributes, and game dynamics on economic decision-making.
author2 Bao Te
author_facet Bao Te
Punjabi Jash Prakash
Hoo, Jing Ting
Jindal, Anushka
Chung, Travis Jun Yang
format Final Year Project
author Punjabi Jash Prakash
Hoo, Jing Ting
Jindal, Anushka
Chung, Travis Jun Yang
author_sort Punjabi Jash Prakash
title "How do demographic factors and GPT familiarity affect contribution decisions in public goods games?"
title_short "How do demographic factors and GPT familiarity affect contribution decisions in public goods games?"
title_full "How do demographic factors and GPT familiarity affect contribution decisions in public goods games?"
title_fullStr "How do demographic factors and GPT familiarity affect contribution decisions in public goods games?"
title_full_unstemmed "How do demographic factors and GPT familiarity affect contribution decisions in public goods games?"
title_sort "how do demographic factors and gpt familiarity affect contribution decisions in public goods games?"
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175049
_version_ 1800916260313104384