Over the past decade, a growing number of artists and critical practitioners have become engaged with algorithms. This artistic engagement has resulted in algorithmic theatre, bot art, and algorithmic media and performance art of various kinds that thematise the dissemination and deployment of algorithms in everyday life. Especially striking is the high volume of artistic engagements with facial recognition algorithms, trading algorithms and search engine algorithms over the past few years.The fact that these three types of algorithms have garnered more responses than other types of algorithms suggests that they form a popular subject of artistic critique. This critique addresses several significant, supra-individual anxieties of our decade: socio- political uncertainty and polarisation, the global economic crisis and cycles of recession, and the centralisation and corporatisation of access to online information. However, the constituents of these anxieties — which seem to be central to our experience of algorithmic culture — are rarely interrogated. They, therefore, merit closer attention.This book uses prominent artistic representations of facial recognition algorithms, trading algorithms, and search algorithms as the entry point into an exploration of the constituents of the anxieties braided around these algorithms. It proposes that the work of Søren Kierkegaard—one of the first theorists of anxiety—helps us to investigate and critically analyse the constituents of ‘algorithmic anxiety’.
MULTIFILE
The importance of professional skills in future engineering jobs is beyond discussion. Increasing numbers of universities have integrated training for such skills in their engineering curricula to prepare students to become highly qualified employees. HU University of Applied Sciences Utrecht also implemented professional skills training in the IT Bachelor program to help our students develop towards successful and highly demanded IT engineers. However, these courses consistently score low in our student satisfaction surveys. To find the cause of this negative evaluation, we previously studied the motivation, attitude and anxiety of IT students towards learning soft, or professional, skills. This former quantitative study indicates that our IT students tend to have a positive motivation and attitude toward learning professional skills, while ’anxiety’ in learning professional skills increases from the first to the third year. In this qualitative study, we try to find causes for the increasing anxiety among IT students. We interviewed six third and fourth year IT students and after analysing these interviews we found that these students have experienced the need for professional skills during their internship. Besides, they emphasize the need of obtaining these skills for future employment. From the analysis of the interviews, it also appears that IT students rather felt difficulty in obtaining communication skills then anxiety. A possible cause for this difficulty mentioned by students was the character of students and the influence of the teacher. To overcome this difficulty obtaining communication skills, students suggested that training skills in an authentic engineering situation is more effective than doing exercises with simulated cases. However, the results of this study did not yield a conclusive insight in the cause of increased anxiety, hence further research is needed.
The purpose of this study was to study the association between the presence of generalized joint hypermobility (GJH) and anxiety within a non-clinical high performing group of adolescents and young adults. Second, to study the impact of GJH and/or anxiety on physical and psychosocial functioning, 168 adolescents and young adults (mean (SD) age 20 (2.9)) were screened. Joint (hyper)mobility, anxiety, and physical and psychosocial functioning were measured. In 48.8% of all high performing adolescents and young adults, GJH was present, whereas 60% had symptoms of anxiety. Linear models controlled for confounders showed that adolescents and young adults with GJH and anxiety had decreased workload (ß (95%CI) -0.43 (-0.8 to -0.08), p-value 0.02), increased fatigue (ß (95%CI) 12.97 (6.3-19.5), p-value < 0.01), and a higher level of pain catastrophizing (ß (95%CI) 4.5 (0.5-8.6), p-value 0.03). Adolescents and young adults with only anxiety had increased fatigue (ß (95%CI) 11 (4.9-19.5). In adolescents and young adults with GJH alone, no impact on physical and psychosocial functioning was found. Adolescents and young adults with the combination of GJH and anxiety were significantly more impaired, showing decreased physical and psychosocial functioning with decreased workload, increased fatigue, and pain catastrophizing. Presence of GJH alone had no negative impact on physical and psychosocial functioning. This study confirms the association between GJH and anxiety, but especially emphasizes the disabling role of anxiety. Screening for anxiety is relevant in adolescents and young adults with GJH and might influence tailored interventions.
-Chatbots are being used at an increasing rate, for instance, for simple Q&A conversations, flight reservations, online shopping and news aggregation. However, users expect to be served as effective and reliable as they were with human-based systems and are unforgiving once the system fails to understand them, engage them or show them human empathy. This problem is more prominent when the technology is used in domains such as health care, where empathy and the ability to give emotional support are most essential during interaction with the person. Empathy, however, is a unique human skill, and conversational agents such as chatbots cannot yet express empathy in nuanced ways to account for its complex nature and quality. This project focuses on designing emotionally supportive conversational agents within the mental health domain. We take a user-centered co-creation approach to focus on the mental health problems of sexual assault victims. This group is chosen specifically, because of the high rate of the sexual assault incidents and its lifetime destructive effects on the victim and the fact that although early intervention and treatment is necessary to prevent future mental health problems, these incidents largely go unreported due to the stigma attached to sexual assault. On the other hand, research shows that people feel more comfortable talking to chatbots about intimate topics since they feel no fear of judgment. We think an emotionally supportive and empathic chatbot specifically designed to encourage self-disclosure among sexual assault victims could help those who remain silent in fear of negative evaluation and empower them to process their experience better and take the necessary steps towards treatment early on.
