Background: The COVID-19 pandemic, ageing populations and the increasing shortage of skilled workers pose great challenges for the delivery of supplies for people with and without care needs. The potential of drones, as unmanned air vehicles, in healthcare are huge and are discussed as an effective new way to delivery urgent medicines and medical devices, especially in rural areas. Although the advantages are obvious, perspectives of users are important particularly in the development process. Investigating human drone interaction could potentially increase usefulness and usability. The present study aims to perform a systematic scoping review on experimental studies examining the human drone interaction in deliveries of drugs and defibrillators. Methods: Two databases (MEDLINE and CINAHL) and references of identified publications were searched without narrowing the year of publication or language. Studies that investigated the human drone interaction or medical delivery with drones in an experimental manner were included (research articles). All studies that only simulated the delivery process were excluded. Results: The search revealed 83 publications with four studies being included. These studies investigated the user experience of drone delivered defibrillators, but no study was identified that investigated the human drone interaction in the delivery of drugs. Three categories of human drone interaction were identified: landing, handover, and communications. Regarding landing and handover, the most important issue was the direct physical contact with the drone while regarding communications users need clearer instructions about drone´s direction, sound and look like. Discussion: The identified studies used technology-driven approaches by investigating human drone interaction in already existing technologies. Users must become integral part of the whole development process of medical drone services to reduce concerns, and to improve security, usability and usefulness of the system. Human drone interaction should be developed according to the identified categories of human drone interaction by using demand- and technology-driven approaches.

Speech production not only relies on spoken (overt speech) but also on silent output (inner speech). Little is known about whether inner and overt speech are processed differently and which neural mechanisms are involved. By simultaneously applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), we tried to disentangle executive control from motor and linguistic processes. A preparation phase was introduced additionally to the examination of overt and inner speech directly during naming (i.e., speech execution). Participants completed a picture-naming paradigm in which the pure preparation phase of a subsequent speech production and the actual speech execution phase could be differentiated. fNIRS results revealed a larger activation for overt rather than inner speech at bilateral prefrontal to parietal regions during the preparation and at bilateral temporal regions during the execution phase. EEG results showed a larger negativity for inner compared to overt speech between 200 and 500 ms during the preparation phase and between 300 and 500 ms during the execution phase. Findings of the preparation phase indicated that differences between inner and overt speech are not exclusively driven by specific linguistic and motor processes but also impacted by inhibitory mechanisms. Results of the execution phase suggest that inhibitory processes operate during phonological code retrieval and encoding.

During early language development native phonotactics are acquired in a 'bottom-up' fashion, relying on exquisite auditory differentiation skills operational from birth. Since basic lexico-semantic abilities have been demonstrated from 6 months onwards, 'top-down' influences on phonotactic learning may complement the extraction of transitional probabilities in phonotactic learning. Such a bidirectional acquisition strategy predicts, that familiarization with (proto)words should affect processing of untrained word-forms of similar phonological structure. We investigated 6-month-old infants undergoing an associative training to establish a pseudoword-pseudoobject link. Comparison between pre- and post-training responses to trained and untrained items allowed investigating training effects. Additionally phonotactic status (50% legal, 50% illegal with regard to German) allowed investigating influences of previous language experience. EEG and functional near-infrared spectroscopy (fNIRS) provided measures of electrophysiological and hemodynamic responses. We find evidence for a robust effect of associative training on pseudoword processing when presented in isolation. This transferred to untrained items. Previous linguistic experience showed a much weaker effect. Taken together the results suggest that sensitivity to phonotactic contrasts is present at 6 months, but that acceptance as lexical candidates is rapidly modulated when word forms following non-native phonotactics become potentially meaningful due to repeated exposure in a semantic context.

Background: The current COVID-19 pandemic, demographic trends, and the increasing shortage of skilled workers pose major challenges for the care of people with and without care needs. The potential of drones as unmanned aerial vehicles in health care is being discussed as an effective innovative way of delivering much-needed medicines, especially in rural areas. Although the advantages are well known, the needs of the users have not yet been taken into account. Methods: Online-based focus groups (via WebEx) were conducted with participants from different disciplines: nursing, pharmacy, physicians. Focus groups with COVID-19 patients were conducted face-to-face. The focus was primarily on potential problems and requirements of the users regarding the use of drones. Structured and contrastive snowball sampling has been deployed. The focus groups were audio recorded, transcribed by a transcription-company, and coded with the help of the program “f4analyse 2” for content (Elo et al. 2008). Results: Especially during the pandemic situation, delays, and restrictions in the delivery of medicines have been noticed. All interview partners (patients, pharmacists, physicians, and nurses; n = 36 participants) see drones as useful in cases of limited mobility, time-critical medicines (rapid availability), emergencies, and disasters (e.g., floods), but also for the delivery of regular medicines in rural areas (e.g., for the treatment of chronic diseases). Moreover, only 16.7% of the participants have experiences with drones. Discussion: Drone deliveries do not play a role in the health system yet despite their great importance, which is perceived as particularly evident in the pandemic situation. The results lead to the conclusion that this is mainly due to knowledge and application deficits, so that educational and advisory work is absolutely necessary. There is also a need for further studies that go beyond the scope of acceptance research to describing and evaluating concrete scenarios of drone delivery on the basis of a user-centered approach.

Background: The use of drones in the health care sector is increasingly being discussed against the background of the aging population and the growing shortage of skilled workers. In particular, the use of drones to provide medication in rural areas could bring advantages for the care of people with and without a need for care. However, there are hardly any data available that focus on the interaction between humans and drones. Objective: This study aims to disclose and analyze factors associated with user acceptance of drone-based medication delivery to derive practice-relevant guidance points for participatory technology development (for apps and drones). Methods: A controlled mixed methods study was conducted that supports the technical development process of an app design for drone-assisted drug delivery based on a participatory research design. For the quantitative analysis, established and standardized survey instruments to capture technology acceptance, such as the System Usability Scale; Technology Usage Inventory (TUI); and the Motivation, Engagement, and Thriving in User Experience model, were used. To avoid possible biasing effects from a continuous user development (eg, response shifts and learning effects), an ad hoc group was formed at each of the 3 iterative development steps and was subsequently compared with the consisting core group, which went through all 3 iterations. Results: The study found a positive correlation between the usability of a pharmacy drone app and participants’ willingness to use it (r=0.833). Participants’ perception of usefulness positively influenced their willingness to use the app (r=0.487; TUI). Skepticism had a negative impact on perceived usability and willingness to use it (r=−0.542; System Usability Scale and r=−0.446; TUI). The study found that usefulness, skepticism, and curiosity explained most of the intention to use the app (F3,17=21.12; P<.001; R2=0.788; adjusted R2=0.751). The core group showed higher ratings on the intention to use the pharmacy drone app than the ad hoc groups. Results of the 2-tailed t tests showed a higher rating on usability for the third iteration of the core group compared with the first iteration. Conclusions: With the help of the participatory design, important aspects of acceptance could be revealed by the people involved in relation to drone-assisted drug delivery. For example, the length of time spent using the technology is an important factor for the intention to use the app. Technology-specific factors such as user-friendliness or curiosity are directly related to the use acceptance of the drone app. Results of this study showed that the more participants perceived their own competence in handling the app, the more they were willing to use the technology and the more they rated the app as usable.

Background: Palliative care supports individuals with incurable, life-threatening illnesses, focusing on symptom management and quality of life. Access to timely care, including essential medications, is often limited, particularly in rural areas, leading to gaps in home-based care. Digital health technologies, including drone-based delivery systems, have the potential to address such logistical challenges. For these technologies to be effective, they must be adapted to the specific needs of patients and caregivers, which often differ from general health care contexts, especially in remote areas. Objective: This study aimed to identify user needs and requirements for a drone-based medication delivery system designed to supplement traditional courier services in palliative care. The study also sought to explore practical considerations for integrating drones into home-based care workflows, with the goal of informing both technical design and clinical applicability. Methods: We conducted 1 focus group (FG) and 4 semistructured individual interviews with family caregivers involved in home-based palliative care. Participants were recruited via local palliative care services in rural regions. The discussions focused on experiences with palliative care, medication logistics, needs, expectations, and concerns regarding drone-assisted delivery. Interviews and the FG were audio-recorded, transcribed, and analyzed using structured qualitative content analysis. Results: A total of 10 caregivers participated (mean age 68.6, SD 12.3 years) in this study. Six participants took part in the FG and 4 participants were part of individually conducted interviews. Caregivers frequently reported long travel distances to obtain medications, sometimes leaving patients unattended and noting medication shortages, especially in the afternoons and on weekends. Participants highlighted the potential of drones to supplement existing courier services during periods of high demand. At the same time, caregivers expressed concerns about limited technical skills, particularly regarding mobile apps for ordering deliveries, and emphasized the need for simple, user-friendly systems. Conclusions: These findings reveal logistical gaps in palliative care medication supply and design requirements for drone-based delivery systems. There is a clear demand for faster, more reliable access to essential medication, especially during evenings and weekends. Whether drone-assisted delivery can reduce hospitalizations and support patients’ wishes to remain at home warrants further research. Specialized outpatient palliative care teams are central to eHealth adoption, providing technical guidance, emotional support, and confidence in using new technologies. Their involvement in communication and training is critical. Strengthening digital health literacy requires individual training and structural adjustments to meet the needs of older caregivers and those with limited digital affinity. Concerns about losing personal interaction remain significant; digital tools should complement, not replace, face-to-face care. Timely medication access could reduce caregiver stress and improve quality of life by supporting symptom control at home. To foster acceptance, caregivers need hands-on experience. Future studies should test drone delivery in real-world settings, addressing technological, psychological, and social factors.