Artificial Intelligence and Human Behavior Modeling and Simulation for Mental Health Conditions

Silverman, Barry G.; Hanrahan, Nancy P.; Huang, Lina; Rabinowitz, Emilia Flores; Lim, Samuel Chao Voon

doi:10.1016/b978-0-12-420248-1.00007-6

Cited by 31 publications

(26 citation statements)

References 15 publications

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“…behavioral (attitude toward a behavior), normative (subjective norms) and control (PBC). Therefore, INT is assumed to be an immediate predictor of behavior (Silverman et al, 2016;Cronce and Larimer, 2013). Previous empirical studies have extensively applied TPB in targeting intentions as a means to alter behaviors by designing interventions strategies to discontinue addictive behaviors (Pelling and White, 2009;Conner, 2015) in a variety of contexts such as smoking cessation (Ruslan et al, 2018;Zhao et al, 2018;Su et al, 2015), risky sexual behaviors (Moeini et al, 2016), excessive use of social network sites (Ho et al, 2017), alcohol consumption (Haydon et al, 2017), abusive relationships (Edwards et al, 2017), cyberbullying (Heirman and Walrave, 2012), internet gambling (Flack and Morris, 2015), risky sexual behaviors (Moeini et al, 2016) and the discontinuance of social media addiction (Luqman et al, 2018).…”

Section: Theory Of Planned Behavior and Behavioral Intentionsmentioning

confidence: 99%

Arresting fake news sharing on social media: a theory of planned behavior approach

Pundir

Devi

Nath

2021

MRR

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Purpose This study aims to examine the collective impact of awareness and knowledge about fake news, attitudes toward news verification, perceived behavioral control, subjective norms, fear of missing out (FoMO) and sadism on social media users’ intention to verify news before sharing on social media. Design/methodology/approach The current study’s conceptual framework is developed by a comprehensive literature review on social networking and the theory of planned behavior. The data for samples were collected from 400 respondents in India to test the conceptual framework using the partial least square–structural equation modeling technique. Findings The results show that awareness and knowledge, perceived behavioral control, attitudes toward news verification and FoMO are significant predictors of intention to verify news before sharing. Research limitations/implications The present study concludes implications for managers of social media companies and policy actors that want to take steps toward arresting the spread of fake news via social media. Originality/value Academic investigation on fake news sharing on social media has recently gained traction. The current work is unique because it uses the theory of planned behavior as a basis for predicting social media user’s intention to verify news before sharing on social media.

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Section: Theory Of Planned Behavior and Behavioral Intentionsmentioning

confidence: 99%

Arresting fake news sharing on social media: a theory of planned behavior approach

Pundir

Devi

Nath

2021

MRR

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“…Intention can mean aim, goal or plan. Intention or instrumentality refers to the belief that the behavior will lead to the intended outcome (Silverman et al, 2016). Intentions are supposed to capture the motivational factors that influence a behavior where they indicate how hard people are willing to try and how much effort they plan to make to perform the behavior.…”

Section: Intentionmentioning

confidence: 99%

Predictors of intention to use reusable drinking straw

Asmuni

Yusoff

Jafri

2021

JEEIR

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Single-use plastic drinking straws is difficult to recycle and is one of the main causes of water pollution and marine animal destruction. An option for single use drinking straws is reusable ones. This study applies the theory of planned behavior (TPB) to determine the factors affecting the intention to use reusable drinking straw using a survey method in Selangor, Malaysia. Based on an OLS multiple regression result, the study concluded that attitude and perceived behavioral control are significant predictors for the intention tu use reusable drinking straws. Government campaigns towards encouraging consumers to use reusable drinking straws should be focused on promoting positive aspects reusable drinking straws and make it accessible and plausible for the consumers to use it.

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“…To explore the philosophical and ethical issues, we focus on three broad themes, namely detection, diagnosis, and treatment, leaving aside research and clinical administration even if they occasionally overlap with our themes. These themes have been prominent also in earlier reviews of AI technologies applied to mental health 6‐9 . However, as our considerations are philosophical and ethical in nature, they extend and differ to a degree with the main results of the existing literature.…”

Section: Introductionmentioning

confidence: 86%

“…These themes have been prominent also in earlier reviews of AI technologies applied to mental health. [6][7][8][9] However, as our considerations are philosophical and ethical in nature, they extend and differ to a degree with the main results of the existing literature. Specifically, we consider how these technologies raise novel and unique philosophical questions for detection, diagnosing and treatment of mental health disorders and further evaluate whether these carry novel ethical implications that are AI-specific and need be taken into account in implementation in this kind of setting.…”

mentioning

confidence: 87%

Mapping out the philosophical questions of AI and clinical practice in diagnosing and treating mental disorders

Uusitalo

Tuominen

Arstila

2020

Evaluation Clinical Practice

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How to classify the human condition? This is one of the main problems psychiatry has struggled with since the first diagnostic systems. The furore over the recent editions of the diagnostic systems DSM-5 and ICD-11 has evidenced it to still pose a wicked problem. Recent advances in techniques and methods of artificial intelligence and computing power which allows for the analysis of large data sets have been proposed as a possible solution for this and other problems in classification, diagnosing, and treating mental disorders. However, mental disorders contain some specific inherent features, which require critical consideration and analysis. The promises of AI for mental disorders are threatened by the unmeasurable aspects of mental disorders, and for this reason the use of AI may lead to ethically and practically undesirable consequences in its effective processing. We consider such novel and unique questions AI presents for mental health disorders in detail and evaluate potential novel, AI-specific, ethical implications.

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Artificial Intelligence and Human Behavior Modeling and Simulation for Mental Health Conditions

Cited by 31 publications

References 15 publications

Arresting fake news sharing on social media: a theory of planned behavior approach

Arresting fake news sharing on social media: a theory of planned behavior approach

Predictors of intention to use reusable drinking straw

Mapping out the philosophical questions of AI and clinical practice in diagnosing and treating mental disorders

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