What Do You Need to Know to Stay Healthy? – Health Information Needs and Seeking Behaviour of Older Adults in Germany

Theis, Sabine; Schäfer, Dajana; Schäfer, Katharina; Rasche, Peter; Wille, Matthias; Jochems, Nicole; Mertens, Alexander

doi:10.1007/978-3-319-96077-7_55

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…First, senior users mainly focus on physiological and somatic health information. This is consistent with previous studies in China, the UK and Germany (Zou and Zhou, 2014;Robinson and Robertson, 2014;Theis et al, 2019). However, seniors in Germany were more interested in the diagnosis and treatment of diseases, whereas our study showed that seniors in China paid more attention to daily health self-management.…”

Section: Discussionsupporting

confidence: 92%

“…A group interview in China emphasized the seniors' need for mental health information (Shi and Luo, 2020). A questionnaire survey showed that older adults in Germany were most interested in medical diagnosis, the meaning of examination results and therapy and treatment options (Theis et al, 2019). A telephone-based interview in the UK showed that older men tended to look for information about self-care, managing ongoing conditions or responding to specific concerns (Robinson and Robertson, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

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Identifying health information needs of senior online communities users: a text mining approach

Qian

Gui

2020

AJIM

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PurposeThe purpose of this study is to identify the health information needs of senior online communities (SOCs) users, which could provide a basis for improving senior health information services.Design/methodology/approachA total of 14,933 health-related posts in the two most popular senior online communities (Yinling and Keai) in China are crawled as a corpus. Based on the results of word frequency analysis, text classification is performed based on two aspects: medical systems (Western medicine and traditional Chinese medicine) and topics. The health information needs of SOCs users are revealed from the composition, growth trends and popularity of health information. Finally, some key points of senior health information services are discussed.FindingsThe health information needs of senior users can be divided into four types: coping with aging, dietary nutrition, physical exercise and mental health. These needs are comprehensive and involve a variety of health issues. Users are mainly concerned with physical health issues. In terms of medical systems, the number of Western medicine posts is relatively larger, whereas traditional Chinese medicine appears more in posts on coping with aging and physical exercise. The health information needs of SOCs users are in a stable status. Both the medical systems and topics could have an impact on the popularity of health information, but the number of posts is inconsistent with the level of popularity.Originality/valueThis study combines multiple perspectives to identify the health information needs of seniors in China with a comprehensive overview.

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Section: Discussionsupporting

confidence: 92%

Section: Literature Reviewmentioning

confidence: 99%

Identifying health information needs of senior online communities users: a text mining approach

Qian

Gui

2020

AJIM

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“…This means dependent on how strong people believe in their own abilities, they deal differently with a difficult situation. They either show approaching or avoiding behavior [24,32]. According to Bandura there are four main sources that shape a persons' self-efficacy: (1) Enactive mastery experiences as the most influential source.…”

Section: Introductionmentioning

confidence: 99%

Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring

Theis

Schäfer

Haubrich

et al. 2020

HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design

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Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work

Theis

Jentzsch

Deligiannaki³

et al. 2023

Lecture Notes in Computer Science

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The increasing prevalence of Artificial Intelligence (AI) in safety-critical contexts such as air-traffic control leads to systems that are practical and efficient, and to some extent explainable to humans to be trusted and accepted. The present structured literature analysis examines $$n = 236$$ articles on the requirements for the explainability and acceptance of AI. Results include a comprehensive review of $$n = 48$$ articles on information people need to perceive an AI as explainable, the information needed to accept an AI, and representation and interaction methods promoting trust in an AI. Results indicate that the two main groups of users are developers who require information about the internal operations of the model and end users who require information about AI results or behavior. Users’ information needs vary in specificity, complexity, and urgency and must consider context, domain knowledge, and the user’s cognitive resources. The acceptance of AI systems depends on information about the system’s functions and performance, privacy and ethical considerations, as well as goal-supporting information tailored to individual preferences and information to establish trust in the system. Information about the system’s limitations and potential failures can increase acceptance and trust. Trusted interaction methods are human-like, including natural language, speech, text, and visual representations such as graphs, charts, and animations. Our results have significant implications for future human-centric AI systems being developed. Thus, they are suitable as input for further application-specific investigations of user needs.

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What Do You Need to Know to Stay Healthy? – Health Information Needs and Seeking Behaviour of Older Adults in Germany

Cited by 4 publications

References 16 publications

Identifying health information needs of senior online communities users: a text mining approach

Identifying health information needs of senior online communities users: a text mining approach

Perceived Self-efficacy in Parkinson’s Disease Through Mobile Health Monitoring

Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work

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