Crowdsourcing contests have emerged as a popular approach for organisations to leverage collective intelligence and tap into the expertise of a diverse crowd. Knowledge sharing in such contests is paramount in promoting individual or team participation. This study employs negative binomial regression analysis to explore the impact of dynamic knowledge-sharing features - knowledge volume, knowledge expansion, knowledge innovation, and knowledge popularity - on team participation, using data from 211 crowdsourcing contests hosted on Kaggle. The findings offer significant implications for researchers and practitioners regarding effective knowledge management within crowdsourcing platforms. Encouraging knowledge sharing and collaboration and promoting innovative practices can significantly boost the attraction of more participating teams while amplifying the volume of submissions. Additionally, this study underscores the importance of implementing mechanisms to mitigate knowledge overload and ensure diversity of ideas, thereby sustaining engagement and promoting more unique submissions.

Research on children's technology and digital media (TDM) is hampered by a lack of robust approaches for assessing TDM use. This study assessed the feasibility of passively measuring children's TV screens and mobile devices (TDM) in a naturalistic setting. In the three-day feasibility study, FLASH-TV was set up on one to two TVs the child (5-12 year olds) typically used in the home (n=20). Children's mobile device use was assessed with either the Chronicle App or ScreenTime screenshots. Parents completed three TDM diaries. An exit interview with the parent explored their perceptions of the assessments and the child's TDM use report. Complete data were obtained on 86.7% of days for passive assessment of TV viewing and 84.3% of days for mobile device use. Fifteen parents reviewed complete TDM use reports for their child, with most stating the reports appeared correct for TV (80%) and mobile device (80%). Almost two-thirds had no concerns about having the FLASH-TV installed in their home, while some reported issues about feeling observed. Parents described high burden and frustration with the TDM diaries. Data provided preliminary evidence that passive measurement is feasible for assessing children's TV and mobile device use, with reduced burden for parents.

Fathers' perinatal mental health is a major public health issue, yet few interventions have been developed targeting this group. Fathers face many barriers in accessing perinatal mental health support, including stigma around caregiving and mental health, and thus require careful consideration when designing interventions. This study aimed to examine the feasibility, acceptability, and usability of a mobile app-based intervention for paternal perinatal depression, anxiety, and stress. Following a design science approach, five meta design principles and 15 specific principles were created to guide the intervention design, and a prototype app titled Rover was created. The prototype was evaluated by 43 fathers and 10 mental health clinicians. Participants in both groups rated the app highly for its functionality, clinical content, aesthetics, and digital therapeutic alliance. Qualitative feedback indicated that fathers held particularly favourable views regarding the mood tracking, mindfulness, and goal tracking features. Both groups expressed a preference for more support for the personalisation of content, including more dynamic interactions with the chatbot support feature. To our knowledge, this is the first app-based mental health intervention designed specifically for fathers, with study results providing guidance to the field on developing digital health initiatives for this population.

Multiple types of users (i.e. patients and care providers) have experiences with the same technologies in health care environments and may have different processes for developing trust in those technologies. The objective of this study was to assess how patients and care providers make decisions about the trustworthiness of mutually used medical technology in an obstetric work system. Using a grounded theory methodology, we conducted semi-structured interviews with 25 patients who had recently given birth and 12 obstetric health care providers to examine the decision-making process for developing trust in technologies used in an obstetric work system. We expected the two user groups to have similar criteria for developing trust in the technologies, though we found patients and physicians differed in processes for developing trust. Trust in care providers, the technologies' characteristics and how care providers used technology were all related to trust in medical technology for the patient participant group. Trustworthiness of the system and trust in self were related to trust in medical technology for the physician participant group. Our findings show that users with different perspectives of the system have different criteria for developing trust in medical technologies.

Human collaboration in distributed knowledge sharing groups depends on the functionality of information and communication technologies (ICT) to support performance. Since many of these dynamic environments are constrained by time limits, knowledge must be shared efficiently by adapting the level of information detail to the specific situation. This paper focuses on the process of knowledge and context sharing with and without mediation by ICT, as well as issues to be resolved when determining appropriate ICT channels. Both technology-rich and non-technology examples are discussed.

There is an increasing awareness of the importance and the benefits to be attained from consulting the end-users during system and product development. Although the rationale of utilizing the expertise of end-users in the system development life cycle appears to provide an apparently straightforward, even 'ideal' approach, there are many difficulties associated with eliciting the required knowledge from experts, both general and specific to every user group. Furthermore, many developers do not know how to involve users, or if they do, they do not utilize them to best effect. In the avionics sphere, the wealth of knowledge possessed by line pilots and flight engineers represents a vital information resource for the design of future flight-deck systems. As a specific example, this paper overviews some of the considerations which arose from working with these end-users in the early stages of the development of a warning and diagnostic system for civil aircraft. The end-goal of this particular phase of the work was the generation of guidelines for the design of the interface for the software engineers to use when building the prototype, and the methodological approach taken to achieve this is reported here.

The aim of this study was to identify and describe the use of electronic health records for information sharing between patients and clinicians in primary care encounters. This topic is particularly important as computers and other technologies are increasingly implemented in multi-user health care settings where interactions and communication between patients and clinicians are integral to interpersonal and organizational outcomes.

Automated communication technologies (ACTs) have largely become commonplace in day to day life. Although these technologies are widely used, there is a not insubstantial proportion of the population that prefers to avoid contact with ACTs. Recently, a scale was developed to assess dispositional avoidance of automated communication technologies. The current study provides validation of the scale in an older adult population and demonstrates that the avoidance of automated communication scale can be discriminated from personality measures, including the Big Five and Grit, and is predictive of avoidance of ACTs.

This study assessed the independent association of self-esteem and social media screen time on depressive symptoms, as well as the moderating role of social media screen time in the relationship between self-esteem and depressive symptoms. The Mobile Screen Time Project was a cross-sectional, web-based survey conducted from March to May of 2019. 437 U.S. college students were recruited via social networks from two institutions of higher education. Multivariable logistic regression assessed the associations between self-esteem and average daily social media time with depressive symptoms; an interaction effect was explored. Self-esteem had an inverse association (AOR = 0.87, 95% CI: 0.80-0.94) and daily social media time had a significant association with depressive symptoms (AOR = 1.11, 95% CI: 1.02-1.22) after adjusting for sexual and gender status, race/ethnicity, age, social status, and insomnia. We found a significant moderating effect (p = 0.016) of daily social media time. The more time spent on social media, the less protective self-esteem was against depressive symptoms. Those suffering from depressive symptoms or low self-esteem may benefit from reducing their social media use, intentionally exposing themselves to positive content and leveraging peer-to-peer social support through social media to create a sense of belonging.