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Do different design and information content factors
influence trust and mistrust of online health sites? Fifteen women faced with a risky health decision were observed while searching the Internet for information and advice over four consecutive weeks. In some sessions their searches were unstructured, whilst in other sessions they were directed to...
Citations
... Vloggers were comfortable sharing resources and signposting towards other videos, vloggers and social media resources. The extent to which websites allow and encourage cross referencing is seen as a positive trust marker (Sillence, Briggs et al. 2004) and referencing other social media tools expands the reach and promotion of the vloggers who often view YouTube as part of a toolkit of resources (Isika et al., 2019) for generating and sharing social support. Again, the encouragement to like, subscribe and ask questions is both an opportunity for sharing embodied knowledge but also a recognition of the motivation complexity of YouTubers. ...
Background: Despite being a normal part of life for many, menstruation is often stigmatized resulting in reduced knowledge of reusable products such as menstrual cups. YouTube videos can raise awareness of menstrual cups and challenge stigma, but little is known about the content creators or what content is communicated in the videos. Aim: Firstly, to examine vlogger characteristics and the content of videos sharing personal experiences of cup use. Secondly, to evaluate the potential of these videos as a way of communicating about menstrual health. Methods: A content analysis of the 100 most popular menstrual cup videos on YouTube followed by a qualitative thematic analysis of 50 videos containing personal experiences. Results: The content of the videos was captured in four themes: embodied knowledge; technology enabled intimacies; persuasive narratives and a collective sense of community. Discussion: Vloggers communicated knowledge and embodied experiences of personal cup use. This represents a step towards destigmatizing menstruation and menstruants’ bodies, but issues around the complexities of vloggers’ motivations and the situatedness of vloggers remain. Conclusions: Given the paucity of information on menstruation and reusable menstrual products, YouTube videos provide a potentially valuable resource for health communication and education especially for younger menstruants.
... Desain atau tampilan situs web merupakan faktor yang penting untuk menarik perhatian pengunjung, mencerminkan jatidiri pemilik, serta membangun kepercayaan pengunjung. Beberapa hal yang dapat menentukan baiknya desain sebuah situs web, yaitu: usability, sistem navigasi, desain visual, konten, kompatibilitas, lamanya proses, fungsionalitas, aksesibilitas, dan interaktivitas (Ekarini, 2017) Pembuatan situs web juga harus menghindari desain yang buruk seperti tampilan yang penuh, tulisan yang kecil, atau terlalu banyaknya tulisan (Manzoor et al., 2012;Sillence et al., 2004). ...
TKIT Luqmanul Hakim merupakan taman kanak-kanak di kota Bandung yang berada di bawah naungan Yayasan Pendidikan Luqmanul Hakim. Di masa pandemi yang melanda dunia sejak dua tahun lalu, kebutuhan akan informasi yang tersedia secara daring semakin meningkat, baik bagi pihak sekolah maupun orangtua. Kebutuhan tersebut dirasakan pula oleh orang tua calon siswa yang sedang mencari sekolah untuk anaknya, sebagai bahan pertimbangan pemilihan sekolah bagi anaknya. Akan tetapi, TKIT Luqmanul Hakim Bandung sampai sekitar pertengahan tahun 2022 masih belum memiliki situs web yang dapat diakses orang tua/wali siswa/calon siswa. Oleh karena itu, untuk memperluas persebaran informasi dari pihak sekolah, Tim Abdimas dari Fakultas Informatika, Universitas Telkom menerapkan metode hibah teknologi tepat guna dengan cara membangun sebuah situs web resmi untuk TKIT Luqmanul Hakim dengan menggunakan framework Laravel. Untuk keberlanjutan pengelolaan situs web ini, disediakan pula halaman untuk Administrator dan dilaksanakan pelatihan pengelolaan situs web untuk para guru TKIT Luqmanul Hakim. Kegiatan ini mendapat sambutan positif dari berbagai pihak dan sedang dirasakan manfaatnya secara nyata, serta terus diupayakan pengelolaannya sehingga informasi yang disajikan senantiasa aktual.
... This cue-heuristic perspective raises an important question: what cues are made available and what heuristics can be triggered by a given technology? Web researchers have answered the question empirically [15,56]. By surveying 2500 participants, Fogg [14] summarizes 18 types of cues people frequently notice on a website to base their trust judgments on, such as information structure, name recognition, and advertising, with the most frequently mentioned cue being the "design look. ...
... A conceptual analysis as we did in this paper is not enough. Future work should empirically study what people actually pay attention to and how they process them when making trust judgments, similar to what has been done in the web trust literature [14,15,40,56]. To understand the effect of a trustworthiness cue, we echo the point made by Jacovi et al. [25] that it should be studied in relation to different levels of model trustworthiness. ...
... This cue-heuristic perspective raises an important question: what cues are made available and what heuristics can be triggered by a given technology? Web researchers have answered the question empirically [15,56]. By surveying 2500 participants, Fogg [14] summarizes 18 types of cues people frequently notice on a website to base their trust judgments on, such as information structure, name recognition, and advertising, with the most frequently mentioned cue being the "design look. ...
... A conceptual analysis as we did in this paper is not enough. Future work should empirically study what people actually pay attention to and how they process them when making trust judgments, similar to what has been done in the web trust literature [14,15,40,56]. To understand the effect of a trustworthiness cue, we echo the point made by Jacovi et al. [25] that it should be studied in relation to different levels of model trustworthiness. ...
Current literature and public discourse on "trust in AI" are often focused on the principles underlying trustworthy AI, with insufficient attention paid to how people develop trust. Given that AI systems differ in their level of trustworthiness, two open questions come to the fore: how should AI trustworthiness be responsibly communicated to ensure appropriate and equitable trust judgments by different users, and how can we protect users from deceptive attempts to earn their trust? We draw from communication theories and literature on trust in technologies to develop a conceptual model called MATCH, which describes how trustworthiness is communicated in AI systems through trustworthiness cues and how those cues are processed by people to make trust judgments. Besides AI-generated content, we highlight transparency and interaction as AI systems' affordances that present a wide range of trustworthiness cues to users. By bringing to light the variety of users' cognitive processes to make trust judgments and their potential limitations, we urge technology creators to make conscious decisions in choosing reliable trustworthiness cues for target users and, as an industry, to regulate this space and prevent malicious use. Towards these goals, we define the concepts of warranted trustworthiness cues and expensive trustworthiness cues, and propose a checklist of requirements to help technology creators identify appropriate cues to use. We present a hypothetical use case to illustrate how practitioners can use MATCH to design AI systems responsibly, and discuss future directions for research and industry efforts aimed at promoting responsible trust in AI.
... The authors' literature analysis of eHealth publications found 38 different trust attributes in 5 categories: personal elements and individual antecedents (5); website-related antecedents (9); service provider-related elements (20); informational elements, i.e., design and content factors (9); and information sources (5) (Appendix B). A meaningful finding was that informational elements were the most meaningful attributes in eHealth [112]. According to Liu et al., direct experience is the most reliable information factor for trust measurement [18]. ...
... The authors declare no conflict of interest. Informational elements (design and content factors) from [49,112,122,124] • Quality of links; • Information quality and content (accuracy of content, completeness, relevance, understandable, professional, unbiased, reliable, adequacy and up-to-date), source expertise, scientific references; • Information source credibility, relevant and good information, usefulness, accuracy, professional appearance of a health website; • Information credibility; • Information impartiality. ...
... Information sources from [49,67,112,122,127] • Personal interactions; • Personal experiences; • Past (prior) experiences; • Presence of third-party seals (e.g., HONcode, Doctor Trusted™, TrustE). ...
The use of eHealth and healthcare services are becoming increasingly common across networks and ecosystems. Identifying the quality and health impact of these services is a big problem that in many cases it is difficult determine. Health ecosystems are seldom designed with privacy and trust in mind, and the service user has almost no way of knowing how much trust to place in the service provider and other stakeholders using his or her personal health information (PHI). In addition, the service user cannot rely on privacy laws, and the ecosystem is not a trustworthy system. This demonstrates that, in real life, the user does not have significant privacy. Therefore, before starting to use eHealth services and subsequently disclosing personal health information (PHI), the user would benefit from tools to measure the level of privacy and trust the ecosystem can offer. For this purpose, the authors developed a solution that enables the service user to calculate a Merit of Service (Fuzzy attractiveness rating (FAR)) for the service provider and for the network where PHI is processed. A conceptual model for an eHealth ecosystem was developed. With the help of heuristic methods and system and literature analysis, a novel proposal to identify trust and privacy attributes focused on eHealth was developed. The FAR value is a combination of the service network’s privacy and trust features, and the expected health impact of the service. The computational Fuzzy linguistic method was used to calculate the FAR. For user friendliness, the Fuzzy value of Merit was transformed into a linguistic Fuzzy label. Finally, an illustrative example of FAR calculation is presented.
... Yet, from works addressing usability as an antecedent of trust specifically, we can derive some concrete suggestions. First, ease of navigation and user guidance are beneficial [23,73,76]. Similarly, consistency in design and color schemes improves usability and trustworthiness [19,23,81]. ...
... Similarly, consistency in design and color schemes improves usability and trustworthiness [19,23,81]. For non-intuitive interfaces, learnability was found to be effective [6,73,76]. This can mean giving users the opportunity to learn about the functions of the system and encouraging them to explore it [6]. ...
Interface design can directly influence trustworthiness of a software. Thereby, it affects users' intention to use a tool. Previous research on user trust has not comprehensively addressed user interface design, though. We lack an understanding of what makes interfaces trustworthy (1), as well as actionable measures to improve trustworthiness (2). We contribute to this by addressing both gaps. Based on a systematic literature review, we give a thorough overview over the theory on user trust and provide a taxonomy of factors influencing user interface trustworthiness. Then, we derive concrete measures to address these factors in interface design. We use the results to create a proof of concept interface. In a preliminary evaluation, we compare a variant designed to elicit trust with one designed to reduce it. Our results show that the measures we apply can be effective in fostering trust in users.
... The credibility of web information has become a serious social issue. For example, Sillence et al. reported that more than half of the health information available on the web has not been verified by experts (Sillence et al., 2004). Therefore, if web search users may believe misinformation, they cannot distinguish correct and incorrect web information. ...
In this study, we analyzed the relationship between confirmation bias, which causes people to preferentially view information that supports their opinions and beliefs, and web search behavior. In an online user study, we controlled confirmation bias by presenting prior information to participants that manipulated their impressions of health search topics and analyzed their behavioral logs during web search tasks. We found that web search users with poor health literacy and negative prior beliefs about the health search topic did not spend time examining the list of web search results, and these users demonstrated bias in webpage selection. In contrast, web search users with high health literacy and negative prior beliefs about the search topic spent more time examining the list of web search results. In addition, these users attempted to browse webpages that present different opinions. No significant difference in web search behavior was observed between users with positive prior beliefs about the search topic and those with neutral belief.
... Canalizing trust in AI-enabled healthcare has great potential for clinicians and patients alike. In terms of operational efficiency, it can decrease wait time for patients (Kennedy 2018) and decrease health-related information asymmetries (Sillence et al. 2004;Weaver III et al. 2009;Factors and Society 2014;Murray et al. 2003). The latter is a step in the right direction towards increasing patient adherence to prescribed treatment, in combination with a healthy relationship with the prescribing physician (Weaver III et al. 2009;Emanuel and Wachter 2019;Murray et al. 2003). ...
In healthcare, the role of AI is continually evolving and understanding the challenges its introduction poses on relationships between healthcare providers and patients will require a regulatory and behavioural approach that can provide a guiding base for all users involved. In this paper, we present ACIPS (Acceptability, Comfortability, Informed Consent, Privacy, and Security), a framework for evaluating patient response to the introduction of AI-enabled digital technologies in healthcare settings. We justify the need for ACIPS with a general introduction of the challenges with and perceived relevance of AI in human-welfare centered fields, with an emphasis on the provision of healthcare. The framework is composed of five principles that measure the perceptions of acceptability, comfortability, informed consent, privacy, and security patients hold when learning how AI is used in their healthcare. We propose that the tenets composing this framework can be translated into guidelines outlining the proper use of AI in healthcare while broadening the limited understanding of this topic.
... A website design is the art and process of combining elements of design such as (line, shape, texture, logo, navigation bar) into a pleasant arrangement that are displayed on the websites to the online users [1]. People can be influenced by the look and feel of the website [14]. In this context, deception in Islamic websites is defined as the websites text-based content and design that were deviated and contradict the Islamic teaching and learning (by Ahlus-Sunnah wa'l-Jama'ah). ...
... The objectivity of the online health and nutrition information i.e. how unbiased is the online health information source and as a content factor, convenience of use i.e. how much the online health and nutrition information content appeals to or connects with a consumer's own perceptions and biases [145] are also potentially imperative factors which can influence perceived online health information source and content quality in OHIS. Studies have also shown that the irrelevance and inappropriateness of specific online health and nutrition information can possibly be counter-productive in fostering consumers' trust is OHIU [146]- [148], more particularly information complexity [149] and information bias [150]. The consumers' perceived information source and content quality of online health and nutrition information can possibly be based on multidimensional consumer information evaluation influences covering reliability, accuracy, clarity, credibility and trustworthiness [151]; and also the relevance of "referral links" i.e. other online health information sources that are linked to that particular information source, which is an indication of that information source's importance as an information provider in the online environment on a particular health or nutrition search topic [4]. ...
This study examines the influence of contemporary literature-supported cognitive influences on consumer Online Health Information Seeking (OHIS) and Online Health Information Usage (OHIU) Intentions; taking a case of supplemental nutrition-related information seeking and Kuala Lumpur’s resident young urban professionals (23 to 38 years of age, educated professionals or business owners of Malaysian nationality) as the target survey population. This study found that Internet Self-Efficacy and Perceived Health Risk both exhibit a strong positive influence on consumers’ Intention of OHIS, while Perceived Health Value and Perceived Value of Information Seeking exhibit a moderate positive influence on Intention of OHIS. On the other hand, Health Self-Efficacy and Perceived Value of Privacy were found to exhibit a moderate negative influence on Intention of OHIS. Similarly, Perceived Information Content Quality exhibit a strong positive influence on consumers’ Intention of OHIU, while Perceived Information Source Quality and Perceived Information Value exhibit a moderate positive influence on Intention of OHIU. It was also found that Personal Bias exhibit a moderate negative influence on Intention of OHIU. Also Intention of OHIS was found to exhibit a moderate to strong positive influence on Intention of OHIU. The study utilised a Self-Completion Questionnaire Survey and analyzed the collected survey data using a PLS Algorithm Path Analysis Test on Smart-PLS 3 statistical software..
