Risk perception of biased AI-enabled technologies in healthcare: investigating the role of negative cognition, negative emotion, and reactance
The worldwide implementation of AI-enabled technologies has significantly altered the current healthcare environment. Current raised issues about biased AI technologies have increased risk perception. In order to rectify the negative perception towards biased AI technologies in healthcare, the effec...
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| Format: | Thesis-Master by Research |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/174204 |
| _version_ | 1811687529596846080 |
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| author | Yi, Sue Hyon |
| author2 | Andrew Prahl |
| author_facet | Andrew Prahl Yi, Sue Hyon |
| author_sort | Yi, Sue Hyon |
| collection | NTU |
| description | The worldwide implementation of AI-enabled technologies has significantly altered the current healthcare environment. Current raised issues about biased AI technologies have increased risk perception. In order to rectify the negative perception towards biased AI technologies in healthcare, the effect of framing (i.e., gain and loss frame) need to be investigated. There has been a gap in the risk communication literature dealing with newly emerging technologies that are embraced with uncertainties about the role of negative cognition and negative emotion on the two dimensions of risk perception (i.e., perceived susceptibility and perceived severity). This study conducted an online experiment to assess the effects of framing, the role of negative cognition and negative emotion in interacting with message framing, and explore the mediating mechanisms of risk perception. The results revealed that the gain frame was effective in reducing perceived severity and perceived susceptibility of biased AI-enabled technologies as opposed to the loss frame among the US public. Also, negative cognition and negative emotion interact with message frames in predicting perceived severity. Moreover, negative cognition and negative emotion significantly mediate the relationship between the threat to freedom and risk perception. This study contributes to diversifying the effects of gain and loss framing, and enlightening the process of risk perception by exploring the role of negative cognition and negative emotion. |
| first_indexed | 2024-10-01T05:17:46Z |
| format | Thesis-Master by Research |
| id | ntu-10356/174204 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:17:46Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1742042024-04-09T03:58:58Z Risk perception of biased AI-enabled technologies in healthcare: investigating the role of negative cognition, negative emotion, and reactance Yi, Sue Hyon Andrew Prahl Wee Kim Wee School of Communication and Information andrew.prahl@ntu.edu.sg Social Sciences Risk communication Health communication AI-enabled technologies Reactance Message framing The worldwide implementation of AI-enabled technologies has significantly altered the current healthcare environment. Current raised issues about biased AI technologies have increased risk perception. In order to rectify the negative perception towards biased AI technologies in healthcare, the effect of framing (i.e., gain and loss frame) need to be investigated. There has been a gap in the risk communication literature dealing with newly emerging technologies that are embraced with uncertainties about the role of negative cognition and negative emotion on the two dimensions of risk perception (i.e., perceived susceptibility and perceived severity). This study conducted an online experiment to assess the effects of framing, the role of negative cognition and negative emotion in interacting with message framing, and explore the mediating mechanisms of risk perception. The results revealed that the gain frame was effective in reducing perceived severity and perceived susceptibility of biased AI-enabled technologies as opposed to the loss frame among the US public. Also, negative cognition and negative emotion interact with message frames in predicting perceived severity. Moreover, negative cognition and negative emotion significantly mediate the relationship between the threat to freedom and risk perception. This study contributes to diversifying the effects of gain and loss framing, and enlightening the process of risk perception by exploring the role of negative cognition and negative emotion. Master's degree 2024-03-20T07:38:46Z 2024-03-20T07:38:46Z 2023 Thesis-Master by Research Yi, S. H. (2023). Risk perception of biased AI-enabled technologies in healthcare: investigating the role of negative cognition, negative emotion, and reactance. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/174204 https://hdl.handle.net/10356/174204 10.32657/10356/174204 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University |
| spellingShingle | Social Sciences Risk communication Health communication AI-enabled technologies Reactance Message framing Yi, Sue Hyon Risk perception of biased AI-enabled technologies in healthcare: investigating the role of negative cognition, negative emotion, and reactance |
| title | Risk perception of biased AI-enabled technologies in healthcare: investigating the role of negative cognition, negative emotion, and reactance |
| title_full | Risk perception of biased AI-enabled technologies in healthcare: investigating the role of negative cognition, negative emotion, and reactance |
| title_fullStr | Risk perception of biased AI-enabled technologies in healthcare: investigating the role of negative cognition, negative emotion, and reactance |
| title_full_unstemmed | Risk perception of biased AI-enabled technologies in healthcare: investigating the role of negative cognition, negative emotion, and reactance |
| title_short | Risk perception of biased AI-enabled technologies in healthcare: investigating the role of negative cognition, negative emotion, and reactance |
| title_sort | risk perception of biased ai enabled technologies in healthcare investigating the role of negative cognition negative emotion and reactance |
| topic | Social Sciences Risk communication Health communication AI-enabled technologies Reactance Message framing |
| url | https://hdl.handle.net/10356/174204 |
| work_keys_str_mv | AT yisuehyon riskperceptionofbiasedaienabledtechnologiesinhealthcareinvestigatingtheroleofnegativecognitionnegativeemotionandreactance |