The Impact of Interactivity on User Satisfaction in Digital Social Reading: Social Presence as a Mediator

Li, Wu; Mao, Yuanyi; Zhou, Liuning

doi:10.1080/10447318.2021.1898850

Cited by 23 publications

(7 citation statements)

References 64 publications

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“…Social influence is defined as the degree to which an individual believes that important others believe he/she should adopt a new technology, which is considered the main predictor of general technology-acceptance behavior [ 34 , 35 , 54 , 55 ]. The rationale behind social influence could be that individuals want to fortify their relationships with critical persons by following their views of specific behaviors [ 56 ].…”

Section: Theoretical Background and Research Hypothesesmentioning

confidence: 99%

Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust

Cheng

2022

IJERPH

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Artificial intelligence (AI)-assisted diagnosis and treatment could expand the medical scenarios and augment work efficiency and accuracy. However, factors influencing healthcare workers’ adoption intention of AI-assisted diagnosis and treatment are not well-understood. This study conducted a cross-sectional study of 343 dental healthcare workers from tertiary hospitals and secondary hospitals in Anhui Province. The obtained data were analyzed using structural equation modeling. The results showed that performance expectancy and effort expectancy were both positively related to healthcare workers’ adoption intention of AI-assisted diagnosis and treatment. Social influence and human–computer trust, respectively, mediated the relationship between expectancy (performance expectancy and effort expectancy) and healthcare workers’ adoption intention of AI-assisted diagnosis and treatment. Furthermore, social influence and human–computer trust played a chain mediation role between expectancy and healthcare workers’ adoption intention of AI-assisted diagnosis and treatment. Our study provided novel insights into the path mechanism of healthcare workers’ adoption intention of AI-assisted diagnosis and treatment.

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Section: Theoretical Background and Research Hypothesesmentioning

confidence: 99%

Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust

Cheng

2022

IJERPH

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“…Furthermore, prior empirical studies have provided evidence that online interactions can cultivate people's sense of social presence. For example, Li et al (2021) pointed out that in a social reading platform, users can communicate with their peers through which they would have a strong feeling of the presence of other members. Likewise, in the context of online learning, Tung and Deng (2006) suggested that enhancing the interactivity of an e-learning environment could stimulate the presence of social actors.…”

Section: Homophily and Interactivitymentioning

confidence: 99%

Understanding continuance intention of social Q&A communities for informal learning among university students

Zeng

Bao

2023

Psychology in the Schools

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Social Q&A refers to the process of information seeking based on questioning‐and‐answering in natural language through social networks. It facilitates knowledge gathering and interacting, and thus can be regarded as an appropriate environment for informal learning. This study intends to explore factors affecting continuance intention of using social Q&A communities for informal learning and meanwhile reveal the underlying mechanism among these factors. Data were obtained from 257 university students through an online survey. By using partial least squares based structural equation model, the proposed hypotheses and research model were analyzed. The findings show that homophily, interactivity and social presence are three determinants of collaborative learning and community identification in social Q&A community which further influences university students' continuance intention for informal learning. Our research extends the understanding of informal learning in social Q&A communities and indicates how to promote continuous informal learning in such environment.

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“…Human-to-human interaction enables users to obtain social support, improve the relationship quality between users and establish an online personal network of friends through communicating with other users, so that social relationships are strengthened (Tajvidi et al, 2021). Users can communicate with other community members through liking their comments or participating in online discussions, through which users will have a strong feeling of the presence of others; in addition, these actions also meets the social needs of users and promotes the establishment of relationships between users (Lu et al, 2010;Li et al, 2021b). Hence, we propose the following hypothesis:…”

Section: User Participation In Ohcsmentioning

confidence: 99%

What influences user participation in an online health community? The stimulus-organism-response model perspective

Zhou

Zhao²,

Ma³

et al. 2022

AJIM

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PurposeThe purpose of this paper is to understand the effect of platform characteristics (i.e. media richness and interactivity) on individual perception (i.e. outcome expectations) and consequent behavioral response (i.e. user participation in online health communities (OHCs)) based on the stimulus-organism-response (S-O-R) model.Design/methodology/approachThis study developed a research model to test the proposed hypotheses, and the proposed model was tested using partial least squares structural equation modeling (PLS-SEM) for which data were collected from 321 users with OHC experience using an online survey.FindingsThe empirical results show the following: (1) the three dimensions of media richness significantly affect the three outcome expectations, except that richness of expression has no significant effect on the outcome expectation of health self-management competence. (2) Human-to-human interaction significantly affects the three outcome expectations. Moreover, compared with human-to-human interaction, human-to-system interaction has a stronger impact on the outcome expectation of health self-management competence. (3) The three outcome expectations have a significant influence on user participation in OHCs.Originality/valueThis study extends the understanding about how platform characteristics (i.e. media richness and interactivity) motivate user participation in the context of OHCs. Drawing on the S-O-R model, this study reveals the underlying mechanisms by which media richness and interactivity are associated with outcome expectations and by which outcome expectations is associated with user participation in OHCs. This study enriches the literature on media richness, interactivity, outcome expectations and user participation in OHCs, providing insights for developers and administrators of OHCs.

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The Impact of Interactivity on User Satisfaction in Digital Social Reading: Social Presence as a Mediator

Cited by 23 publications

References 64 publications

Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust

Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust

Understanding continuance intention of social Q&A communities for informal learning among university students

What influences user participation in an online health community? The stimulus-organism-response model perspective

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