BORDaR Bournemouth Online Research Data Repository
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How 274 red flags changed perceptions of sexual violence in a university campus
No full textThe current study aimed to create and evaluate a sexual violence campaign based on developments from issues with previous campaigns. A quasi-experimental design assessed the Red Flag Campaign (in which members of the student community plant a red flag if they have experienced sexual assault aimed at raising awareness, promote discussions, and subsequently changing attitudes as explained by the Information-motivational behavioural skills model of behaviour change) and its effect on rape-myth acceptance and behaviours toward sexual violence. Two-hundred and forty-six University students responded to a survey, measuring awareness and understanding of Red Flag Campaign, as well as attitudes and behaviours towards sexual violence. Results showed significantly lower rape-myth acceptance following the campaign (immediately and one-year post campaign) compared to pre-campaign. Engaging with, and understanding, the campaign significantly improved attitudes and behaviours towards sexual violence. Evaluation of findings outlined effects on sexual violence and best practise for campaigns. Refinements towards the Red Flag Campaign were discussed
Visualisation framework for dynamic heterogeneous and multi-scale objects inspired by ray-casting
No full textSource code for the visualisation framework for dynamic heterogeneous and multi-scale objects project
Web Bot Detection Dataset
No full textAutomated programs (bots) are responsible for a large percentage of website traffic. These bots, called web bots, vary in sophistication based on their purpose, ranging from simple automated scripts to advanced web bots that have a browser fingerprint, support the main browser functionalities, and exhibit a humanlike behaviour. Advanced web bots are especially appealing to malicious web bot creators, due to their browserlike fingerprint and humanlike behaviour that reduce their detectability. Malicious purposes of web bots include, but are not limited to, content scraping, vulnerability scanning, account takeover, distributed denial of service attacks, marketing fraud, carding, spam, buying all the available stock of specific limited products to later resell at higher price (i.e., scalper bots).
Thus, web servers must be equipped with the tools to detect such malicious web bots. For that, state-of-the-art approaches, both in academia and in commercial solutions, propose the combination of rule-based techniques with machine learning based methods [1]. For the latter, the browsing behaviours of visitors are used to train machine learning models that distinguish web bots from human visitors [1].
Early machine learning based web bot detection methods examined the web logs of the visitors, while more recent approaches use the mouse movements that the visitors perform [1]. The lack of datasets that include mouse movements of humans browsing the web (alone or in combination with the respective web logs) motivated the creation of this dataset which contains the web logs and mouse movements of (i) humans, (ii) moderate web bots that have a browser fingerprint and (iii) advanced web bots that have a browser fingerprint and also exhibit a humanlike behaviour. This dataset can be used to research web bot detection and evasion techniques that use and/or combine web logs with mouse movements.
The dataset was collected using a web server hosting web pages crawled from Wikipedia (https://www.wikipedia.org/) and consists of two parts, each used for the different evaluation phases of [1], respectively:
1. For the first evaluation phase, the web server used hosted 61 web pages from five different categories/topics crawled from Wikipedia, while 50 human sessions were generated by a closed set of participants, i.e., the authors of [1]; in each session, the authors visited the web server for an adequate (not predefined) period of time to generate sufficient data for our experiments.
2. For the second evaluation, an expanded version of the same web server was used; this web server hosted a total of 110 web pages from 11 categories/topics (including the content used in the first version of the web server) crawled again from Wikipedia. In this case, 28 users were asked to visit this web server and to create two sessions each (resulting in a total of 56 human sessions). Each user was instructed to spend about 15–20 minutes per session.
In both evaluation phases, we created the same amount of moderate web bot and advanced web bot sessions as the sessions generated from the humans. Details about the behaviour of these bots can be found in [1].
Specific details about the dataset and its structure can be found in a README file included in the dataset.
[1] Christos Iliou, Theodoros Kostoulas, Theodora Tsikrika, Vasilis Katos, Stefanos Vrochidis, and Ioannis Kompatsiaris. 2021. Detection of Advanced Web Bots by Combining Web Logs with Mouse Behavioural Biometrics. Digital Threats 2, 3, Article 24 (September 2021), 26 pages. https://doi.org/10.1145/344781
In pursuit of visual attention: SSVEP frequency-tagging moving targets
No full textPrevious research has shown that visual attention does not always exactly follow gaze direction, leading to the concepts of overt and covert attention. However, it is not yet clear how such covert shifts of visual attention to peripheral regions impact the processing of the targets we directly foveate as they move in our visual field. The current study utilised the co- registration of eye-position and EEG recordings while participants tracked moving targets that were embedded with a 30 Hz frequency tag in a Steady State Visually Evoked Potentials (SSVEP) paradigm. When the task required attention to be divided between the moving target (overt attention) and a peripheral region where a second target might appear (covert attention), the SSVEPs elicited by the tracked target at the 30 Hz frequency band were significantly, but transiently, lower than when participants did not have to covertly monitor for a second target. Our findings suggest that neural responses of overt attention are only briefly reduced when attention is divided between covert and overt areas. This neural evidence is in line with theoretical accounts describing attention as a pool of finite resources, such as
the perceptual load theory. Altogether, these results have practical implications for many real-world situations where covert shifts of attention may discretely reduce visual processing of objects even when they are directly being tracked with the eyes
Representation of Foreseeable Choice Outcomes in Orbitofrontal Cortex Triplet-wise Interactions (Balaguer-Ballester et al 2020, Plos Comput Biol)
No full textThis curated dataset corresponds to the reference: Balaguer-Ballester, E., Nogueira, R., Abolafia, J.M., Moreno-Bote, R. Sanchez-Vives, M.V., 2020. Representation of Foreseeable Choice Outcomes in Orbitofrontal Cortex Triplet-wise Interactions.
PLos Computational Biology.
In short, the experiment consist of an interval discrimination task in rodent. The animal had to access the central socket in order to trigger a sequence of two 50 ms pure tones separated by either a short or a long inter-tone interval; by nose-poking either the left socket (for short ITI) or the right socket (for long ITI) to successfully retrieve the reward. After an incorrect trial, the previous ITI was repeated. Otherwise, the ITI was randomly drawn from a distribution of values which grade the difficulty of the task. The dataset consist of the stimulus characteristics, the behavioral responses and in vivo neuronal recordings in rodent Orbitofrontal Cortex. (see details below and in the paper).
Please find specific "Readme.txt" files inside the folders with an explanation of the data format
Perspective taking and systematic biases in object location memory
No full textThe aim of the current study was to develop a novel task that allows for the quick assessment of spatial memory precision with minimal technical and training requirements. In this task, participants memorized the position of an object in a virtual room and then judged from a different perspective, whether the object has moved to the left or to the right. Results revealed that participants exhibited a systematic bias in their responses that we termed the reversed congruency effect. Specifically, they performed worse when the camera and the object moved in the same direction than when they moved in opposite directions. Notably, participants responded correctly in almost 100% of the incongruent trials, regardless of the distance by which the object was displaced. In Experiment 2, we showed that this effect cannot be explained by the movement of the object on the screen, but that it relates to the perspective shift and the movement of the object in the virtual world. We also showed that the presence of additional objects in the environment reduces the reversed congruency effect such that it no longer predicts performance. In Experiment 3, we showed that the reversed congruency effect is greater in older adults, suggesting that the quality of spatial memory and perspective-taking abilities are critical. Overall, our results suggest that this effect is driven by difficulties in the precise encoding of object locations in the environment and in understanding how perspective shifts affect the projected positions of the objects in the two-dimensional image
Workshops materials: Helping programmers get what they want.
Get PDFSoftware Developer card sort topics: Cards used for card sorting categorisation task. Software developers place each card according to the personal impact on their own work when a colleague exhibits the behaviour described on the card. Asking themselves "how does this affect ME?", they place the card in one of the following categories: Bad. Noticeable impact. Bad. Slight impact. Neutral. Good. Slight impact. Good. Noticeable impact.
Software Developer Workshop materials: Cards used in workshop sessions for software developers. The process is for each person present to select one card from the complete set, laid out on a table. Once everyone has chosen, each person in turn explains their choice. Please let me know how you use these, and the results. More details in the attached instructions
Consent, wantedness, and pleasure: Three dimensions affecting the perceived distress of and judgements of rape in sexual encounters
Get PDFData for a study accepted in Journal of Experimental Psychology: Applied
Abstract
Participants conflate consent and wantedness when judging situations as rape (Peterson & Muehlenhard, 2007). Pleasure might also affect how such situations might be appraised by victims, perpetrators, and jurors. In four experiments, participants read vignettes describing sexual encounters that were consensual or not, wanted or unwanted, and pleasurable or not pleasurable. Participants judged whether they thought each situation described rape and how distressing they thought the encounter would be. Wantedness affected perceived distress when consent was given. Wantedness and pleasure also influenced whether participants considered the situation rape in non-consensual scenarios. In additional experiments, we analysed the results by gender, manipulated perspective (being the subject or initiator of the encounter), levels of aggression, and compared the results to a group of participants who had viewed an anti-abuse campaign. Male participants and those higher in benevolent sexism were more likely than women to utilise pleasure and wantedness in judging whether situations described rape. Perspective and viewing the media campaign did not significantly affect judgements of rape. Our results have implications for models of the consequences of consent, wantedness, and pleasure of sex, and important implications for educational programmes aimed at reducing sexual assault and training for those involved in criminal justice
Digital work-life-balance: 'Going off the grid' Can employees really switch off during travel?
No full textThis workshop aimed to open a debate on changed work life balance realities in a digital world. It engaged academics, tourism, technology and HR professionals, students and the public in a dialogue about the wider challenges and expectations towards connectivity of employees in the context of travel.
Overview:
Technologies have had a massive impact on society and transformed how we work, live and experience travel. Social and mobile technologies have particularly enabled people to connect on an unprecedented scale, with any device, anywhere and at any time. While technologies enhance our professional and private lives in numerous ways, there is increasing evidence that people are no longer 'switching off'. Leisure travel, grounded in the motivation of escapism and the reversal of everyday life, has traditionally had the purpose to switch off, refresh and restore body and mind. What happens however if 'going off the grid' is no longer an option in our hyper-connected and work-centred lifestyles
An RCT of individualised variations in the start position of the Closed-Kinetic Chain Upper Extremity Stability Test
No full textWe tested different variations of the start position in the CKCUEST
1: Standard 36" setup position.
2: Shoulder breadth (bi-acromial).
3: Shoulder breadth and read to 36".
4: 50% height.
This file contains the following columns:
1) Participant number; 2) Age; 3) Height (cm); 4) Weight (kg); 5) Shoulder Breadth (cm); 6-8) Then each individual test result (repeated 3 times); 9) and the average of those 3 tests; 10+) This is repeated for each test condition (1:4 above)