Individual differences & the propensity to trust in automation

In this current day and age, technology is constantly advancing. Today, automation is no longer just limited to mechanical machines, but also extends to a wide variety of technology - ranging from mobile applications to artificial intelligence. Further, technology continues to permeate the lives of...

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Main Author: Tan, Dickson
Other Authors: Xu Hong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/156397
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1563972023-03-05T15:42:29Z Individual differences & the propensity to trust in automation Tan, Dickson Xu Hong School of Social Sciences XUHONG@ntu.edu.sg Social sciences::Psychology In this current day and age, technology is constantly advancing. Today, automation is no longer just limited to mechanical machines, but also extends to a wide variety of technology - ranging from mobile applications to artificial intelligence. Further, technology continues to permeate the lives of many. Thus, it is important that the dynamics of trust process between users and automation is understood. However, there is limited research to examine the effects of individual differences on trust in automation. Therefore, to establish the associations of individual factors and trust in automation, this thesis adopted an exploratory approach to examine the effects of age, gender, ethnicity, socioeconomic status, personality (Big Five), trust history and knowledge in automation on individuals’ trust towards automation. A sample of 151 participants from Singapore was recruited for the study. Results revealed that age, ethnicity, extraversion, trust history and knowledge in automation predicts an individual’s level of trust towards automation. These findings generated new insights and research directions for the field. At the same time, several practical implications of the study were also discussed. Future research can look to explore variables that influence the associations of user factors and trust in automation. Further, future research can also take into account systems and environmental factors when examining trust in automation. Bachelor of Social Sciences in Psychology 2022-04-16T09:43:00Z 2022-04-16T09:43:00Z 2022 Final Year Project (FYP) Tan, D. (2022). Individual differences & the propensity to trust in automation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156397 https://hdl.handle.net/10356/156397 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::Psychology
spellingShingle Social sciences::Psychology
Tan, Dickson
Individual differences & the propensity to trust in automation
description In this current day and age, technology is constantly advancing. Today, automation is no longer just limited to mechanical machines, but also extends to a wide variety of technology - ranging from mobile applications to artificial intelligence. Further, technology continues to permeate the lives of many. Thus, it is important that the dynamics of trust process between users and automation is understood. However, there is limited research to examine the effects of individual differences on trust in automation. Therefore, to establish the associations of individual factors and trust in automation, this thesis adopted an exploratory approach to examine the effects of age, gender, ethnicity, socioeconomic status, personality (Big Five), trust history and knowledge in automation on individuals’ trust towards automation. A sample of 151 participants from Singapore was recruited for the study. Results revealed that age, ethnicity, extraversion, trust history and knowledge in automation predicts an individual’s level of trust towards automation. These findings generated new insights and research directions for the field. At the same time, several practical implications of the study were also discussed. Future research can look to explore variables that influence the associations of user factors and trust in automation. Further, future research can also take into account systems and environmental factors when examining trust in automation.
author2 Xu Hong
author_facet Xu Hong
Tan, Dickson
format Final Year Project
author Tan, Dickson
author_sort Tan, Dickson
title Individual differences & the propensity to trust in automation
title_short Individual differences & the propensity to trust in automation
title_full Individual differences & the propensity to trust in automation
title_fullStr Individual differences & the propensity to trust in automation
title_full_unstemmed Individual differences & the propensity to trust in automation
title_sort individual differences & the propensity to trust in automation
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/156397
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