So you're planning a baby?: a review of preconception care apps

Previous research shows couples favour online information sources when seeking support for preconception health and pregnancy planning, with mobile applications (apps) becoming increasingly popular. This study aimed to establish what smartphone apps currently exist to support couples when preparing for pregnancy. A functionality review was conducted to explore app content and an analysis of user reviews was undertaken to investigate user views towards existing apps. 25 apps were analysed, which provided information on diet, weight, alcohol, smoking and caffeine amongst others. Positive reviews mainly referred to the helpfulness of the app. Negative comments focused on the over simplification of information. Overall, user comments showed a positive response towards existing preconception care apps, but users reported concerns towards information accuracy and reliability. Further work will be undertaken to evaluate whether existing apps engage users to improve their preconception health care and whether these apps fulfils user requirements

Using computer-mediated communication as a tool for mentoring to Latina/o sophomore college students

The sophomore year of college can be challenging for many students specifically Latina/o students. New initiatives are being created to increase Latina/o enrollment, retention, and completion of higher education with research indicating Latinas/os are successful academically when they had a mentor or perceived someone on campus cared about them. Mentoring programs use various tools to communicate, but computer-mediated communication (CMC) tools have not been examined in Latina/o peer mentoring relationships. The current research study examined secondary data to see if Latina/o sophomore college students in a peer mentoring program were academically successful when using CMC to communicate with their mentor. Results were mixed; more students used CMC than face-to-face when communicating with their mentor and those who used CMC had a higher chance of being retained, but GPA was not correlated to CMC use. Additional analysis revealed mentoring to have a significant impact on GPA when compared to non-mentored students

On data-driven systems analyzing, supporting and enhancing users’ interaction and experience

[EN]The research areas of Human-Computer Interaction and Software Architectures have been traditionally treated separately, but in the literature, many authors made efforts to merge them to build better software systems. One of the common gaps between software engineering and usability is the lack of strategies to apply usability principles in the initial design of software architectures. Including these principles since the early phases of software design would help to avoid later architectural changes to include user experience requirements. The combination of both fields (software architectures and Human-Computer Interaction) would contribute to building better interactive software that should include the best from both the systems and user-centered designs. In that combination, the software architectures should enclose the fundamental structure and ideas of the system to offer the desired quality based on sound design decisions. Moreover, the information kept within a system is an opportunity to extract knowledge about the system itself, its components, the software included, the users or the interaction occurring inside. The knowledge gained from the information generated in a software environment can be used to improve the system itself, its software, the users’ experience, and the results. So, the combination of the areas of Knowledge Discovery and Human-Computer Interaction offers ideal conditions to address Human-Computer-Interaction-related challenges. The Human-Computer Interaction focuses on human intelligence, the Knowledge Discovery in computational intelligence, and the combination of both can raise the support of human intelligence with machine intelligence to discover new insights in a world crowded of data. This Ph.D. Thesis deals with these kinds of challenges: how approaches like data-driven software architectures (using Knowledge Discovery techniques) can help to improve the users' interaction and experience within an interactive system. Specifically, it deals with how to improve the human-computer interaction processes of different kind of stakeholders to improve different aspects such as the user experience or the easiness to accomplish a specific task. Several research actions and experiments support this investigation. These research actions included performing a systematic literature review and mapping of the literature that was aimed at finding how the software architectures in the literature have been used to support, analyze or enhance the human-computer interaction. Also, the actions included work on four different research scenarios that presented common challenges in the Human- Computer Interaction knowledge area. The case studies that fit into the scenarios selected were chosen based on the Human-Computer Interaction challenges they present, and on the authors’ accessibility to them. The four case studies were: an educational laboratory virtual world, a Massive Open Online Course and the social networks where the students discuss and learn, a system that includes very large web forms, and an environment where programmers develop code in the context of quantum computing. The development of the experiences involved the review of more than 2700 papers (only in the literature review phase), the analysis of the interaction of 6000 users in four different contexts or the analysis of 500,000 quantum computing programs. As outcomes from the experiences, some solutions are presented regarding the minimal software artifacts to include in software architectures, the behavior they should exhibit, the features desired in the extended software architecture, some analytic workflows and approaches to use, or the different kinds of feedback needed to reinforce the users’ interaction and experience. The results achieved led to the conclusion that, despite this is not a standard practice in the literature, the software environments should embrace Knowledge Discovery and datadriven principles to analyze and respond appropriately to the users’ needs and improve or support the interaction. To adopt Knowledge Discovery and data-driven principles, the software environments need to extend their software architectures to cover also the challenges related to Human-Computer Interaction. Finally, to tackle the current challenges related to the users’ interaction and experience and aiming to automate the software response to users’ actions, desires, and behaviors, the interactive systems should also include intelligent behaviors through embracing the Artificial Intelligence procedures and techniques

Improving accessibility for people with dementia: web content and research

The Internet can provide a means of communication, searching for information, support groups and entertainment, amongst other services, and as a technology, can help to promote independence for people with dementia. However, the effectiveness of this technology relies on the users’ ability to use it. Web content, websites and online services need to be designed to meet the abilities and needs of people with dementia, and thus the difficulties that these users encounter must be explored and understood.The primary aim of this thesis is to investigate web content accessibility for People with Dementia and develop recommendations for improving current guidelines based on accessibility needs. The secondary aim is to support people with dementia having a voice within research through development of accessible ethical processes.Qualitative data were collected with a scoping study using questionnaires about everyday technology use (people with dementia and older adults without dementia); and in-depth interviews to explore difficulties and web accessibility issues. A document analysis was conducted on Web Content Accessibility Guidelines (ISO/IEC40500:2012) for inclusion of the needs of people with dementia followed by review of Web Usability Guidance (ISO9241-151:2008) to consider how gaps relating to the unmet accessibility needs for people with dementia could be met. The scoping study found that both people with dementia and older adults without dementia use everyday ICT to access the Web. Both groups described difficulties with web interface interactions, which refined the research scope to web content accessibility. The interview data with people with dementia (n=16) and older adults without dementia (n=9) were analysed using Grounded Theory techniques. It was found that both user groups experienced the same types of difficulties using the Web, but that dementia symptoms could exacerbate the difficulties from usability issues (older adults without dementia) into accessibility issues for people with dementia. Navigation was a key issue for both groups, with a range of web content design elements contributing to accessibility issues with navigation for people with dementia. The document analysis found that the accessibility guidance did not address all the accessibility issues encountered by people with dementia. However, the usability guidance did address many of the accessibility issues for web content navigation experienced by people with dementia. The research provides recommendations for improvements to web content accessibility guidelines including content from usability guidelines, and amendments to current guidelines and success criteria. A new ethical recruitment/consent process was developed and tested as part of the research process and is recommended for use in future research to support engagement of people with dementia.</div

Accessibility of Health Data Representations for Older Adults: Challenges and Opportunities for Design

Health data of consumer off-the-shelf wearable devices is often conveyed to users through visual data representations and analyses. However, this is not always accessible to people with disabilities or older people due to low vision, cognitive impairments or literacy issues. Due to trade-offs between aesthetics predominance or information overload, real-time user feedback may not be conveyed easily from sensor devices through visual cues like graphs and texts. These difficulties may hinder critical data understanding. Additional auditory and tactile feedback can also provide immediate and accessible cues from these wearable devices, but it is necessary to understand existing data representation limitations initially. To avoid higher cognitive and visual overload, auditory and haptic cues can be designed to complement, replace or reinforce visual cues. In this paper, we outline the challenges in existing data representation and the necessary evidence to enhance the accessibility of health information from personal sensing devices used to monitor health parameters such as blood pressure, sleep, activity, heart rate and more. By creating innovative and inclusive user feedback, users will likely want to engage and interact with new devices and their own data