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What was once a science fiction fantasy, virtual reality (VR) technology has evolved and come a long way. Together with augmented reality (AR) technology, these simulations of an alternative environment have been incorporated into rehabilitation treatments. The introduction of head-mounted displays has made VR/AR devices more intuitive and compact, and no longer limited to upper-limb rehabilitation. However, there is still limited evidence supporting the use of VR and AR technology during locomotion, especially regarding the safety and efficacy relating to walking biomechanics. Therefore, the objective of this study is to explore the limitations of such technology through gait analysis. In this study, thirteen participants walked on a treadmill in normal, virtual and augmented versions of the laboratory environment. A series of spatiotemporal parameters and lower-limb joint angles were compared between conditions. The center of pressure (CoP) ellipse area (95% confidence ellipse) was significantly different between conditions (p = 0.002). Pairwise comparisons indicated a significantly greater CoP ellipse area for both the AR (p = 0.002) and VR (p = 0.005) conditions when compared to the normal laboratory condition. Furthermore, there was a significant difference in stride length (p<0.001) and cadence (p<0.001) between conditions. No statistically significant difference was found in the hip, knee and ankle joint kinematics between the three conditions (p>0.082), except for maximum ankle plantarflexion (p = 0.001). These differences in CoP ellipse area indicate that users of head-mounted VR/AR devices had difficulty maintaining a stable position on the treadmill. Also, differences in the gait parameters suggest that users walked with an unusual gait pattern which could potentially affect the effectiveness of gait rehabilitation treatments. Based on these results, position guidance in the form of feedback and the use of specialized treadmills should be considered when using head-mounted VR/AR devices.

Cross-sectional and experimental research have shown that task-unrelated thoughts (i.e., mind wandering) relate to sleep disturbances, but there is little research on whether this association generalizes to the day-level and other kinds of task-unrelated mentation. We employed a longitudinal daily diary design to examine the within-person and between-person associations between three self-report instruments measuring mind wandering, maladaptive daydreaming (a condition characterized by having elaborate fantasy daydreams so insistent that they interfere with daily functioning) and sleep disturbances. A final sample of 126 participants self-identified as experiencing maladaptive daydreaming completed up to 8 consecutive daily reports (in total 869 daily observations). The scales showed acceptable-to-excellent within-person reliability (i.e., systematic day-to-day change) and excellent between-person reliability. The proportion of between-person variance was 36% for sleep disturbances, 57% for mind wandering, and 75% for maladaptive daydreaming, respectively (the remaining being stochastic and systematic within-person variance). Contrary to our pre-registered hypothesis, maladaptive daydreaming did not significantly predict sleep disturbances the following night, B = -0.00 (SE = 0.04), p = .956. Exploratory analyses indicated that while nightly sleep disturbances predicted mind wandering the following day, B = 0.20 (SE = 0.04), p < .001, it did not significantly predict maladaptive daydreaming the following day, B = -0.04 (SE = 0.05), p = .452. Moreover, daily mind wandering did not significantly predict sleep disturbances the following night, B = 0.02 (SE = 0.05), p = .731. All variables correlated at the between-person level. We discuss the implications concerning the differences between maladaptive daydreaming and mind wandering and the possibility of targeting sleep for mind wandering interventions.

Ambivalence, the simultaneous experience of both positive and negative feelings about one and the same attitude object, has been investigated within psychological attitude research for decades. Ambivalence is interpreted as an attitudinal conflict with distinct affective, behavioral, and cognitive consequences. In social psychological research, it has been shown that ambivalence is sometimes confused with neutrality due to the use of measures that cannot distinguish between neutrality and ambivalence. Likewise, in social robotics research the attitudes of users are often characterized as neutral. We assume that this is due to the fact that existing research regarding attitudes towards robots lacks the opportunity to measure ambivalence. In the current experiment (N = 45), we show that a neutral and a robot stimulus were evaluated equivalently when using a bipolar item, but evaluations differed greatly regarding self-reported ambivalence and arousal. This points to attitudes towards robots being in fact highly ambivalent, although they might appear neutral depending on the measurement method. To gain valid insights into people’s attitudes towards robots, positive and negative evaluations of robots should be measured separately, providing participants with measures to express evaluative conflict instead of administering bipolar items. Acknowledging the role of ambivalence in attitude research focusing on robots has the potential to deepen our understanding of users’ attitudes and their potential evaluative conflicts, and thus improve predictions of behavior from attitudes towards robots.

While group-level functional alterations have been identified in many brain regions of psychotic patients, multivariate machine-learning methods provide a tool to test whether some of such alterations could be used to differentiate an individual patient. Earlier machine-learning studies have focused on data collected from chronic patients during rest or simple tasks. We set out to unravel brain activation patterns during naturalistic stimulation in first-episode psychosis (FEP). We recorded brain activity from 46 FEP patients and 32 control subjects viewing scenes from the fantasy film Alice in Wonderland. Scenes with varying degrees of fantasy were selected based on the distortion of the 'sense of reality' in psychosis. After cleaning the data with a novel maxCorr method, we used machine learning to classify patients and healthy control subjects on the basis of voxel- and time-point patterns. Most (136/194) of the voxels that best classified the groups were clustered in a bilateral region of the precuneus. Classification accuracies were up to 79.5% (p = 5.69 × 10-8), and correct classification was more likely the higher the patient's positive-symptom score. Precuneus functioning was related to the fantasy content of the movie, and the relationship was stronger in control subjects than patients. These findings are the first to show abnormalities in precuneus functioning during naturalistic information processing in FEP patients. Correlational findings suggest that these alterations are associated with positive psychotic symptoms and processing of fantasy. The results may provide new insights into the neuronal basis of reality distortion in psychosis.

What are the best methods of capturing thematic similarity between literary texts? Knowing the answer to this question would be useful for automatic clustering of book genres, or any other thematic grouping. This paper compares a variety of algorithms for unsupervised learning of thematic similarities between texts, which we call “computational thematics”. These algorithms belong to three steps of analysis: text pre-processing, extraction of text features, and measuring distances between the lists of features. Each of these steps includes a variety of options. We test all the possible combinations of these options. Every combination of algorithms is given a task to cluster a corpus of books belonging to four pre-tagged genres of fiction. This clustering is then validated against the “ground truth” genre labels. Such comparison of algorithms allows us to learn the best and the worst combinations for computational thematic analysis. To illustrate the difference between the best and the worst methods, we then cluster 5000 random novels from the HathiTrust corpus of fiction.

This article posits that a fictional eco-rebel might be not just a human (child or young adult), but also a plant, revolting against the destruction of its dwelling place. The argument is furthered by way of a literary analysis of arboreal agency in J. R. R. Tolkien’s The Lord of the Rings, building on perspectives from critical plant studies. Departing from a closer look at the etymological roots of the term “eco-rebel”, the article highlights previous work on plants in Tolkien’s epic, with an emphasis on trees, before engaging in close reading and analysis of three instances of arboreal hostility and rebellion in The Lord of the Rings. Ultimately, the article argues that Tolkien has created a novel kind of eco-rebel, with a basis in his acknowledgement of plant agency.

This article considers the threat of environmental destruction in YA dystopian imagination by providing a close reading of Saci Lloyd’s The Carbon Diaries 2015 (2008) and The Carbon Diaries 2017 (2010) that particularly considers whether these texts espouse radical social change and whether they offer hope or despair. First, the article demonstrates that Lloyd’s novels do not merely portray climate change as a backdrop for human drama, but rather attempt to disentangle the environmental crisis from the post-political sphere (Swyngedouw 2010) where humanity as a whole is under threat. While its protagonists learn to cope with ecological uncertainty and the multidimensional challenges of climate change, indeed, they also come to terms with the social and political dimensions of climate change. Second, the article claims that one of the most important features of these two novels is their attempt to explore the challenges faced by the younger generations when dealing with the contemporary climate challenge. Young people in fact bear a disproportionate burden of the environmental crises the world faces today and are subject to climate anxiety. Moreover, they are not only disproportionately impacted by climate change, but their agency and visions of the future are often placed under erasure discursively. Lloyd’s novels, instead, provide a young adult perspective on the uneven universality of climate change. Finally, the article suggests that the presence of utopian hope at the conclusion of the novels does not provide a consoling and comforting happy ending but helps readers to come to terms with an imperfect world. The article’s close reading of The Carbon Diaries 2015 and 2017, therefore, attempts to underscore the novels’ projection of a possible future where a radical systemic change is envisaged.  

The present paper looks at the main contemporary trends in writing literature for young adult readers. The theoretical part focuses on possible definitions and characteristics of young adult literature by distinguishing it from children’s literature and adult fiction, as well as by establishing the different age groups these novels are written for. The practical part of the paper gives examples of different types of novels written for this particular audience, such as J. K. Rowling’s prominent Harry Potter series, but also Lois Lowry’s The Giver or Meg Cabot’s Abandon trilogy. At the end, the study also presents a Transylvanian author who has recently started writing fantasy for young adults, namely Balázs Zágoni, and his Black Light series.

Purpose The purpose of this study is to examine how young people imagine civic futures through speculative fiction writing about artificial intelligence (AI) technologies. The authors argue that young people’s speculative fiction writing about AI not only helps make visible the ways they imagine the impacts of emerging technologies and the modes of collective action available for leveraging, resisting or countering them but also the frictions and fissures between the two. Design/methodology/approach This practitioner research study used data from student artifacts (speculative fiction stories, prewriting and relevant unit work) as well as classroom fieldnotes. The authors used inductive coding to identify emergent patterns in the ways young people wrote about AI and civics, as well as deductive coding using digital civic ecologies framework. Findings The findings of this study spotlight both the breadth of intractable civic concerns that young people associate with AI, as well as the limitations of the civic frameworks for imagining political interventions to these challenges. Importantly, they also indicate that the process of speculative writing itself can help reconcile this disjuncture by opening space to dwell in, rather than resolve, the tensions between “the speculative” and the “civic.” Practical implications Teachers might use speculative fiction writing and the digital civic ecologies framework to support students in critically examining possible AI futures and effective civic actions within them. Originality/value Speculative fiction writing offers an avenue for students to analyze the growing civic concerns posed by emerging platform technologies like AI.

Author Theodore Sturgeon once said that \"A science fiction story is a story about human beings, with a human problem and a human solution, which would not have happened at all without its scientific content,\" and science fiction is based at least in part on science and not magic. American novelist Robert A. Heinlein's 1947 novel Rocket Ship Galileo is also credited with being the first sci-fi novel written specifically for youth. The series tackled racism, religious belief, technology, and other social issues while using the setting of an Earth colony on a planet that circled a star in the Milky Way galaxy. According to Puerto Rican sci-fi author Ingmar Albizu's speculative fiction blog Speculative Tertulia, robots and androids are second in popularity only to aliens, and often become characters in their stories.