1,720,964 research outputs found
Explainable recommendations and calibrated trust: two systematic users’ errors
Get PDFThe increased adoption of collaborative Human-AI decision-making tools triggered a need to explain the recommendations for safe and effective collaboration. However, evidence from the recent literature showed that current implementation of AI explanations is failing to achieve adequate trust calibration. Such failure has lead decision-makers to either end-up with over-trust, e.g., people follow incorrect recommendations or under-trust, they reject a correct recommendation. In this paper, we explore how users interact with explanations and why trust calibration errors occur. We take clinical decision-support systems as a case study. Our empirical investigation is based on think-aloud protocol and observations, supported by scenarios and decision-making exercise utilizing a set of explainable recommendations interfaces. Our study involved 16 participants from medical domain who use clinical decision support systems frequently. Our findings showed that participants had two systematic errors while interacting with the explanations either by skipping them or misapplying them in their task
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Explainable Persuasion for Persuasive Interfaces: The Case of Online Gambling
Get PDFAs human attention is a scarce resource, interactive online platforms such as social networks, gaming and online gambling platforms utilise persuasive interfaces to maximise user engagement. However, ethical concerns may arise since persuasive systems influence user behaviours. While interacting with persuasive systems, users may be unaware of being persuaded or unaware of the negative consequences that may result from interacting with persuasive systems. This can hinder users’ ability to evaluate the persuasion attempt and regulate their behaviour. Moreover, persuasive systems designed to maximise user engagement may, in some cases, trigger or reinforce addictive usage. There is evidence in the literature that online persuasive interfaces may influence psychological and cognitive mechanisms related to addictive behaviour. Transparency and user voluntariness are proposed to be the building blocks of ethical persuasive systems. However, to date, the concept of transparent persuasive technology mainly remained philosophical in academia. One approach to designing persuasive systems that adhere to the transparency and user voluntariness requirements could be fulfilling conditions for informed consent. When interacting with persuasive systems, users could be informed about the persuasive design techniques used by the system, and such information may help users build resilience against persuasion attempts made by the system. Such an approach aligns with the principles outlined in the software engineering code of ethics of avoiding harm and maintaining honesty and trustworthiness. This thesis aims to introduce and evaluate the concept of explainable persuasion in the context of designing ethical digital persuasive interfaces with an analogy to explainable artificial intelligence. A mixed methods approach was conducted to achieve this goal. The thesis focused on a distinct domain, online gambling, as gambling disorder is recognised as a mental disorder by health organisations. Accordingly, a scoping review was conducted first to identify the main persuasive design techniques utilised in online gambling platforms. Identified persuasive design techniques were analysed for their potential to facilitate gambling disorder through the addiction literature. An online survey was then conducted to examine users’ awareness of persuasive design techniques used in online gambling platforms and users’ attitudes towards the concept of explainable persuasion. Finally, an online experiment was conducted to determine the effectiveness of explainable persuasion as an inoculation intervention in building resilience against persuasive design techniques used in online gambling platforms. The findings of the user studies showed that explainable persuasion was accepted and that it could be a promising solution for designing persuasive interfaces that promote informed choice and strengthen resilience against persuasion if it is not compatible with users’ personal goals. This thesis contributes to transparency and explainability literature as it is one of the first attempts to examine the role of explainability in the domain of persuasive technology which may also have addictive potential. Identifying acceptance and rejection factors of explainable persuasion can help design persuasive interfaces that promote informed usage and meet ethical requirements. This implication does not only apply to persuasive technology but can also be generalised to research areas such as combatting fake news and social engineering. The findings are expected to have important implications for gambling operators and regulators in expanding the scope of responsible gambling practices to ensure explainability and transparency. The results are expected to also benefit wider application areas such as explainability in other contents and interfaces related to marketing, news and recommendations made by or facilitated by intelligent systems
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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