In a virtual reality (VR) environment, where visual stimuli predominate over other stimuli, the user experiences cybersickness because the balance of the body collapses due to self-motion. Accordingly, the VR experience is accompanied by unavoidable sickness referred to as visually induced motion sickness (VIMS). In this article, our primary purpose is to simultaneously estimate the VIMS score by referring to the content and calculate the temporally induced VIMS sensitivity. To seek our goals, we propose a novel architecture composed of two consecutive networks: 1) neurological representation and 2) spatiotemporal representation. In the first stage, the network imitates and learns the neurological mechanism of motion sickness. In the second stage, the significant feature of the spatial and temporal domains is expressed over the generated frames. After the training procedure, our model can calculate VIMS sensitivity for each frame of the VR content by using the weakly supervised approach for unannotated temporal VIMS scores. Furthermore, we release a massive VR content database. In the experiments, the proposed framework demonstrates excellent performance for VIMS score prediction compared with existing methods, including feature engineering and deep learning-based approaches. Furthermore, we propose a way to visualize the cognitive response to visual stimuli and demonstrate that the induced sickness tends to be activated in a similar tendency, as done in clinical studies.

Even though negative aspects of making use of others’ work, such as illegal appropriation, have been found in online communities, remixing is considered a type of constructive creation for generating and recreating creative works. To make constructive creation via remixing sustainable, it is critical for users to share their own creations and allow others to use them in these online communities. We propose psychological ownership and social recognition as key antecedents for original creators to increase their intention to share their works in an online remix context. In this study, we aim to examine the relationships between intention to share, psychological ownership, and social recognition. To investigate the effects of psychological ownership and social recognition on intention to share, we proposed research hypotheses based on the theories of social recognition and psychological ownership. Prior to testing the hypotheses, we conducted a preliminary study including user interviews and community log analysis within an online remix community. Specific patterns of psychological ownership and social recognition in the online remix context were found in accordance with the theoretical background. The results from the preliminary study were applied to forms of apparatus and stimuli in the following experiment. A quasi-experiment was designed to test hypotheses of causal relationships between the key factors. A prototype of an online remix community for smartphone themes was developed based on the detailed findings of the preliminary study and utilized as an experimental apparatus. Sixty-nine participants carried out our experimental procedure of creating, sharing their own work, checking responses from others, and reporting their intention to share their future creations. The results of the quasi-experiment supported all our research hypotheses. Social recognition was found to increase the intention to share. Moreover, psychological ownership was found to increase the intention to share, an observation that may seem at odds with the exclusive aspects of ownership found in prior studies. More interesting, the positive effect of social recognition on intention to share becomes stronger with a higher perception of psychological ownership. This article ends with theoretical and practical implications of the study results.

Recently, stereoscopic 3D technologies have come to be used widely in various applications including movies and computer games. Stereoscopic 3D is de

Background: Dysarthria is a common poststroke speech disorder affecting communication and psychological well-being. Traditional speech therapy is effective but often poses challenges in terms of accessibility and patient adherence. Emerging smartphone-based therapies may offer promising alternatives for the treatment of poststroke dysarthria. Objective: This study aimed to assess the efficacy and feasibility of smartphone-based speech therapy for improving speech intelligibility in patients with acute and early subacute poststroke dysarthria. This study also explored the impact of the intervention on psychological well-being, user experience, and overall feasibility in a clinical setting. Methods: Participants were divided into 2 groups for this randomized, evaluator-blinded trial. The intervention group used a smartphone-based speech therapy app for 1 hour per day, 5 days per week, for 4 weeks, with guideline-based standard stroke care. The control group received standard guideline-based stroke care and rehabilitation. Speech intelligibility, psychological well-being, quality of life, and user acceptance were assessed using repeated measures ANOVA. Results: In this study, 40 patients with poststroke dysarthria were enrolled, 32 of whom completed the trial (16 in each group). The intervention group showed significant improvements in speech intelligibility compared with the control group. This was evidenced by improvements from baseline (F1,30=34.35; P<.001), between-group differences (F1,30=6.18; P=.02), and notable time-by-group interactions (F1,30=6.91; P=.01). Regarding secondary outcomes, the intervention led to improvements in the percentage of correct consonants over time (F1,30=5.57; P=.03). In addition, significant reductions were noted in the severity of dysarthria in the intervention group over time (F1,30=21.18; P<.001), with a pronounced group effect (F1,30=5.52; P=.03) and time-by-group interaction (F1,30=5.29; P=.03). Regarding quality of life, significant improvements were observed as measured by the EQ-5D-3L questionnaire (F1,30=13.25; P<.001) and EQ-VAS (F1,30=7.74; P=.009) over time. The adherence rate to the smartphone-based app was 64%, with over half of the participants completing all the sessions. The usability of the app was rated high (system usability score 80.78). In addition, the intervention group reported increased self-efficacy in using the app compared with the control group (F1,30=10.81; P=.003). Conclusions: The smartphone-based speech therapy app significantly improved speech intelligibility, articulation, and quality of life in patients with poststroke dysarthria. These findings indicate that smartphone-based speech therapy can be a useful assistant device in the management of poststroke dysarthria, particularly in the acute and early subacute stroke stages. Trial Registration: ClinicalTrials.gov NCT05146765; https://clinicaltrials.gov/ct2/show/NCT05146765