StickViz: A New Visualization Tool for Phenomenon-Based k-Neighbors Searches in Geosocial Networking Services

AbstractProper treatment of prostate cancer is essential to increase the survival chance. In this sense, numerous studies show how important the communication between all stakeholders in the clinic is. This communication is difficult because of the lack of conventions while referring to the location where a biopsy for diagnosis was taken. This becomes even more challenging taking into account that experts of different fields work on the data and have different requirements. In this paper a web-based communication tool is proposed that incorporates a visualization of the prostate divided into 27 segments according to the PI-RADS protocol. The tool provides 2 working modes that consider the requirements of radiologist and pathologist while keeping it consistent. The tool comprises all relevant information given by pathologists and radiologists, such as, severity grades of the disease or tumor length. Everything is visualized using a colour code for better undestanding.

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Assessing a Decision Support Tool for SOC Analysts

Digital Threats: Research and Practice ◽

10.1145/3430753 ◽

2021 ◽

Author(s):

Jassim Happa ◽

Ioannis Agrafiotis ◽

Martin Helmhout ◽

Thomas Bashford-Rogers ◽

Michael Goldsmith ◽

...

Keyword(s):

Decision Support ◽

Mixed Method ◽

User Study ◽

Situational Awareness ◽

Decision Support Tool ◽

Lessons Learned ◽

Visualization Tool ◽

Support Tool ◽

Response Strategies ◽

Method Approach

In recent years, many tools have been developed to understand attacks that make use of visualization, but few examples aims to predict real-world consequences. We have developed a visualization tool that aims to improve decision support during attacks. Our tool visualizes propagation of risks from IDS and AV-alert data by relating sensor alerts to Business Process (BP) tasks and machine assets: an important capability gap present in many Security Operation Centres (SOCs) today. In this paper we present a user study in which we evaluate the tool's usability and ability to deliver situational awareness to the analyst. Ten analysts from seven SOCs performed carefully designed tasks related to understanding risks and prioritising recovery decisions. The study was conducted in laboratory conditions, with simulated attacks, and used a mixed-method approach to collect data from questionnaires, eyetracking and voice-recorded interviews. The findings suggest that providing analysts with situational awareness relating to business priorities can help them prioritise response strategies. Finally, we provide an in-depth discussion on the wider questions related to user studies in similar conditions as well as lessons learned from our user study and developing a visualization tool of this type.

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Visual-VM: A Social Network Visualization Tool for Viral Marketing

2014 IEEE International Conference on Data Mining Workshop ◽

10.1109/icdmw.2014.40 ◽

2014 ◽

Cited By ~ 1

Author(s):

Cheng Long ◽

Raymond Chi-Wing Wong

Keyword(s):

Social Network ◽

Viral Marketing ◽

Network Visualization ◽

Visualization Tool

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Geosocial Networking Apps Use Among Sexual Minority Men in Ecuador: An Exploratory Study

Archives of Sexual Behavior ◽

10.1007/s10508-021-01921-0 ◽

2021 ◽

Author(s):

Carlos Hermosa-Bosano ◽

Paula Hidalgo-Andrade ◽

Clara Paz

Keyword(s):

Latin American ◽

Sexual Minority ◽

Exploratory Study ◽

Romantic Relationship ◽

Future Research ◽

Sexual Minority Men ◽

Geosocial Networking ◽

Minority Men ◽

Geosocial Networking Apps ◽

Latin American Countries

AbstractGeosocial networking applications (GSN apps) have become important socialization contexts for sexual minority men (SMM). Despite their popularity, there is limited research carried out in Latin American countries and no single previous study done in Ecuador. To fill this gap, this exploratory study described and analyzed the relationships between the sociodemographic characteristics of SMM using GSN apps, their sought and fulfilled expectations, profile shared and sought characteristics, and the evaluation of their experiences as users including their perceptions of support, and discrimination. We used an online recruited sample of 303 participants enrolled between November 2019 and January 2020. Most respondents used Grindr and reported spending up to 3 h per day using apps. Most common sought expectations were getting distracted, meeting new friends, and meeting people for sexual encounters. The least met expectation was meeting someone to build a romantic relationship with. When asked about their profiles, participants reported sharing mainly their age, photographs, and sexual role. Participants also prioritized these characteristics when looking at others’ profiles. When asked about their experiences, most reported having been discriminated against, weight being the main reason for it. Some participants also indicated having received emotional support from other users. Correlation analyses indicated significant but weak relationships among the variables. Results indicated a positive correlation between time as an active GSN app user and higher experiences of discrimination. Likewise, higher number of used apps related positively with levels of received support. These results provide information that could inform future research in the country and the region regarding GSN apps use among SMM, socialization practices, and modern dating tools.

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