Effects of Interactivity on Recall of Health Information: Experimental Study

Are interactive and tailored data visualizations effective in promoting flu vaccination among the elderly? Evidence from a randomized experiment

OBJECTIVE

Although interactive data visualizations are increasingly popular for health communication, it remains to be seen what design features improve psychological and behavioral targets. This study experimentally tested how interactivity and descriptive titles may influence perceived susceptibility to the flu, intention to vaccinate, and information recall, particularly among older adults.

MATERIALS AND METHODS

We created data visualization dashboards on flu vaccinations, tested in a 2 (explanatory text vs none) × 3 (interactive + tailored, static + tailored, static + nontailored) + questionnaire-only control randomized between-participant online experiment (N   = 1378).

RESULTS

The flu dashboards significantly increased perceived susceptibility to the flu compared to the control: static+nontailored dashboard, b = 0.14, P = .049; static-tailored, b = 0.16, P = .028; and interactive+tailored, b = 0.15, P = .039. Interactive dashboards potentially decreased recall particularly among the elderly (moderation by age: b = -0.03, P = .073). The benefits of descriptive text on recall were larger among the elderly (interaction effects: b = 0.03, P = .025).

DISCUSSION

Interactive dashboards with complex statistics and limited textual information are widely used in health and public health but may be suboptimal for older individuals. We experimentally showed that adding explanatory text on visualizations can increase information recall particularly for older populations.

CONCLUSION

We did not find evidence to support the effectiveness of interactivity in data visualizations on flu vaccination intentions or on information recall. Future research should examine what types of explanatory text can best support improved health outcomes and intentions in other contexts. Practitioners should consider whether interactivity is optimal in data visualization dashboards for their populations.

Digital Educational Strategies to Teach Skin Self-examination to Individuals at Risk for Skin Cancer

Skin cancer is the most common cancer in the United States, and early detection of melanoma may lead to diagnosis of thinner and more treatable cancers, resulting in improved survival rates. This study examined the effects of message interactivity (high vs. low) and imagery (cartoon, real human character, or customized imagery preference) on accuracy of identifying abnormal skin lesions (ASL) and skin self-examination (SSE) intention. This study employed a 3 (cartoon character vs. real person vs. customization) x 2 (high interactivity vs. low interactivity) between-subjects online experimental design. Participants at risk for skin cancer were randomly assigned to one of the six conditions and completed a survey after reviewing the educational materials. Univariate analyses were conducted to detect group differences on the accuracy of identifying ASL and intention to conduct SSE in the next 3 months. Among 321 participants who completed the study, the mean age was 36.61 years, 56.7% were females, 76.1% had a college or higher degree, and over 60% self-identified as non-Hispanic White. Individuals in the high interactivity and customization group (compared to the low interactivity and cartoon group) were more likely to accurately identify ASL. Individuals in the high interactivity and customization or low interactivity and real person imagery groups (compared to the low interactivity and cartoon group) reported higher intention to conduct SSE in the next 3 months. These results suggest that customization and interactivity may be beneficial for educational programs or intervention design to improve both melanoma identification and SSE intention.

How Does Social Media Influence People to Get Vaccinated? The Elaboration Likelihood Model of a Person's Attitude and Intention to Get COVID-19 Vaccines

The global COVID-19 mass vaccination program has created a polemic amongst pro- and anti-vaccination groups on social media. However, the working mechanism on how the shared information might influence an individual decision to be vaccinated is still limited. This study embarks on adopting the elaboration likelihood model (ELM) framework. We examined the function of central route factors (information completeness and information accuracy) as well as peripheral route factors (experience sharing and social pressure) in influencing attitudes towards vaccination and the intention to obtain the vaccine. We use a factorial design to create eight different scenarios in the form of Twitter posts to test the interaction and emulate the situation on social media. In total, 528 respondents were involved in this study. Findings from this study indicated that both the central route and peripheral route significantly influence individually perceived informativeness and perceived persuasiveness. Consequently, these two factors significantly influence attitude towards vaccination and intention to obtain the vaccine. According to the findings, it is suggested that, apart from evidence-based communication, the government or any interested parties can utilize both experience sharing and social pressure elements to increase engagement related to COVID-19 vaccines on social media, such as Twitter.

Innovation Diffusion: The Influence of Social Media Affordances on Complexity Reduction for Decision Making

Social media is a prominent communication platform. Its active usage permeates all generations and it is imperative that the platform be fully optimized for knowledge transfer and innovation diffusion. However, there are several considerations regarding platform usage, including media affordances. Social media affordances enable users to interact with the world around them through features of modality, agency, interactivity, and navigation. Previous studies have indicated that social media affordances significantly influence user behavior and usage. However, research exploring the effect of social media affordances on knowledge acquisition and the reduction of decision-making complexities is limited. Therefore, focusing on 179 paddy farmers in Malaysia, this study examined the effect of social media affordances on information quality, knowledge acquisition, and complexity reduction regarding innovation adoption decisions using a quantitative approach. This study’s findings reveal that social media affordances have a significant effect on perceived information quality, knowledge acquisition, and complexity reduction.