Chatbot as an emergency exist: Mediated empathy for resilience via human-AI interaction during the COVID-19 pandemic

Jiang, Qiaolei; Zhang, Xiaogang; Pian, Wenjing

doi:10.1016/j.ipm.2022.103074

Cited by 52 publications

(26 citation statements)

References 73 publications

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“…Although several possible explanations were proposed in this study, the underlying mechanisms remain unclear. The other direction is to further investigate the influence of other variables (e.g., different types of health information needs and people's resilience) [8,[51][52][53] on the use patterns of quality judgement criteria to provide a more comprehensive understanding of this topic.…”

Section: Research Limitations and Directions For Future Researchmentioning

confidence: 99%

How users make judgements about the quality of online health information: a cross-sectional survey study

Pian

Lin

et al. 2022

BMC Public Health

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Background People increasingly use the Internet to seek health information. However, the overall quality of online health information remains low. This situation is exacerbated by the unprecedented “infodemic”, which has had negative consequences for patients. Therefore, it is important to understand how users make judgements about health information by applying different judgement criteria. Objective The objective of this study is to determine how patients apply different criteria in their judgement of the quality of online health information during the pandemic. In particular, we investigate whether there is consistency between the likelihood of using a particular judgement criterion and its perceived importance among different groups of users. Methods A cross-sectional survey was conducted in one of the leading hospitals in a coastal province of China with a population of forty million. Combined-strategy sampling was used to balance the randomness and the practicality of the recruiting process. A total of 1063 patients were recruited for this study. Chi-square and Kruskal–Wallis analyses were used to analyse the survey data. Results In general, patients make quality judgement of health information more frequently based on whether it is familiar, aesthetic, and with expertise. In comparison, they put more weights on whether health information is secure, trustworthy, and with expertise when determining its quality. Criteria that were considered more important were not always those with a higher likelihood of being used. Patients may not use particular criteria, such as familiarity, identification, and readability, more frequently than others even if they consider them to be more important than other do and vice versa. Surprisingly, patients with a primary school degree put more weight on whether health information is comprehensive than those with higher degrees do in determining its quality. However, they are less likely to use this guideline in practice. Conclusions To the best of our knowledge, this is the first study to investigate the consistency between the likelihood of using certain quality judgement criteria and their perceived importance among patients grouped by different demographic variables and eHealth literacy levels. The findings highlight how to improve online health information services and provide fine-grained customization of information for users.

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Section: Research Limitations and Directions For Future Researchmentioning

confidence: 99%

How users make judgements about the quality of online health information: a cross-sectional survey study

Pian

Lin

et al. 2022

BMC Public Health

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“…On the one hand, perceived identity oneness negatively mediated the effect of AI voice on risk perception and pro-environmental behavioral intention. The negative association between the AI voice and perceived identity oneness denotes that people tend to categorize AI broadcasters as out-group members, even though they exhibit the affordance of intimate companions in everyday life [ 102 , 103 ]. This process of intergroup differentiation is easily triggered by listening to the auditory information, echoing the idea that the voice is an important form of social presence and is sufficient to convey the social identity of a speaker [ 104 ].…”

Section: Discussionmentioning

confidence: 99%

When Artificial Intelligence Voices Human Concerns: The Paradoxical Effects of AI Voice on Climate Risk Perception and Pro-Environmental Behavioral Intention

Huang

2023

IJERPH

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Artificial intelligence (AI)-enabled text-to-speech transformation has been widely employed to deliver online information in various fields. However, few studies have investigated the effect of the AI voice in environmental risk communication, especially in the field of climate change, an issue that poses a severe threat to global public health. To address this gap, the current study examines how the AI voice impacts the persuasive outcome of climate-related information and the potential mechanism that underlies this process. Based on the social and affect heuristics of voice, we propose a serial mediation model to test the effect of climate-related information delivered by different voice types (AI voice vs. human voice) in eliciting risk perception and motivating pro-environmental behavioral intention. Through an online auditory experiment (N = 397), we found the following. First, the AI voice was as effective as the human voice in eliciting risk perception and motivating pro-environmental behavioral intention. Second, compared with human voice, the AI voice yielded a listener’s lower level of perceived identity oneness with the speaker, which decreased risk perception and subsequently inhibited pro-environmental behavioral intention. Third, compared with human voice, the AI voice produced a higher level of auditory fear, which increased risk perception and thereby led to stronger pro-environmental behavioral intention. The paradoxical role of the AI voice and its wise use in environmental risk communication for promoting global public health are discussed.

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“…This AI uses natural language processing and machine learning algorithms to respond quickly and accurately to questions posed by viewers. [omitted] Chatbots can provide emotional support to humans, which is quite helpful, especially in times of crisis such as the COVID-19 pandemic (Jiang et al, 2022). Sometimes, a sense of companionship may not necessarily involve living entities.…”

Section: [Summary Of the Ai Streamer Neuro-sama Made By Vedal987]mentioning

confidence: 99%

A preliminary example of utilizing AI text generation to support academic writing “Humans befriending their creations some notes on the human-AI relationship”

Le¹

2023

Preprint

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Chatbot as an emergency exist: Mediated empathy for resilience via human-AI interaction during the COVID-19 pandemic

Cited by 52 publications

References 73 publications

How users make judgements about the quality of online health information: a cross-sectional survey study

How users make judgements about the quality of online health information: a cross-sectional survey study

When Artificial Intelligence Voices Human Concerns: The Paradoxical Effects of AI Voice on Climate Risk Perception and Pro-Environmental Behavioral Intention

A preliminary example of utilizing AI text generation to support academic writing “Humans befriending their creations some notes on the human-AI relationship”

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