1,720,970 research outputs found
Another week at the office (awato) – an interactive serious game for threat modeling human factors
No full textAnother Week at the Office (AWATO) is serious game aimed to educate users about threat modeling to help them and/or security analysts identify human factor related threats. AWATO offers an interactive experience where players assume the role of a security analyst where they must observe characters within an office, monitor their emails and phone calls, and identify concerning behavior (e.g. writing passwords on post-it notes)
An analysis of players’ personality type and preferences for game elements and mechanics
No full textThe personality type of an individual has the potential for influencing the design of gaming experiences. To date, no game or psychology scholars have investigated if a player's personality type aligns with their preferences for game elements or mechanics (GEMs). To this end, an investigation sought to find if a player's personality type (Australian Personality Inventory) can predict a player's preference for GEMs. To explore this, the data from three surveys (n = 279, n = 231, n = 162) assessing a player's API type and preference for GEMs were analyzed. The results confirm that a player's personality type cannot be used to predict a player's preference for GEMs
A Human Factor Approach to Threat Modeling
Full text linkCybersecurity has many challenges to address to ensure the protection of a system from an attacker. Consequently, strategies have been developed to address a system’s weakness that an attacker may try to exploit. However, while these approaches may prevent an attacker from getting in from the outside, they do not consider the user’s actions from the inside and how their behavior may inadvertently allow an attack to occur. This paper presents a human-centered approach to threat modeling titled STRIDE-HF, which extends the existing threat modeling framework STRIDE
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
An Approach to Identifying What Has Gone Wrong in a User Interaction
No full textNowadays, there is an increasing number of software applications offering task-based interactions through mobile devices or (directly) via the surrounding technological environment. Such interactions, which are difficult to assess with traditional user evaluation techniques due to their volatility, are usually recorded in dedicated interaction logs, which are then sent back to the software developers who must make sense of them. To date, log studies are mainly used to extract user behaviours from interaction logs for profiling purposes, or to compare such behaviors across different system variants. In this paper, we present a novel approach based on a declarative specification of interaction models that exploits logs for identifying exactly what has gone wrong during a user interaction, detecting which user actions may have caused usability issues and suggesting reparative actions for solving them. © 2019, IFIP International Federation for Information Processing
Variations on the Author
Full text link“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
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
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