SPRWeb: preserving subjective responses to website colour schemes through automatic recolouring

Colours are an important part of user experiences on the Web. Colour schemes influence the aesthetics, first impressions and long-term engagement with websites. However, five percent of people perceive a subset of all colours because they have colour vision deficiency (CVD), resulting in an unequal and less-rich user experience on the Web. Traditionally, people with CVD have been supported by recolouring tools that improve colour differentiability, but do not consider the subjective properties of colour schemes while recolouring. To address this, we developed SPRWeb, a tool that recolours websites to preserve subjective responses and improve colour differentiability - thus enabling users with CVD to have similar online experiences. To develop SPRWeb, we extended existing models of non-CVD subjective responses to CVD, then used this extended model to steer the recolouring process. In a lab study, we found that SPRWeb did significantly better than a standard recolouring tool at preserving the temperature and naturalness of websites, while achieving similar weight and differentiability preservation. We also found that recolouring did not preserve activity, and hypothesize that visual complexity influences activity more than colour. SPRWeb is the first tool to automatically preserve the subjective and perceptual properties of website colour schemes thereby equalizing the colour-based web experience for people with CVD.Engineering and Applied Science

Six Human-Centered Artificial Intelligence Grand Challenges

Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the human condition in ways that are not yet well understood. Negative unintended consequences abound including the perpetuation and exacerbation of societal inequalities and divisions via algorithmic decision making. We present six grand challenges for the scientific community to create AI technologies that are human-centered, that is, ethical, fair, and enhance the human condition. These grand challenges are the result of an international collaboration across academia, industry and government and represent the consensus views of a group of 26 experts in the field of human-centered artificial intelligence (HCAI). In essence, these challenges advocate for a human-centered approach to AI that (1) is centered in human well-being, (2) is designed responsibly, (3) respects privacy, (4) follows human-centered design principles, (5) is subject to appropriate governance and oversight, and (6) interacts with individuals while respecting human’s cognitive capacities. We hope that these challenges and their associated research directions serve as a call for action to conduct research and development in AI that serves as a force multiplier towards more fair, equitable and sustainable societies

Mobile technology and the value chain: Participants, activities and value creation

Technology has evolved significantly and it is increasingly being used by businesses and consumers alike. Technologies such as those supporting electronic business (e-Business) and mobile business (m-Business) are being used across organizations extensively in an attempt to improve operations and subsequently translate in either financial gains or strategic advantages. Opportunities for realizing either of the two types of benefits can be identified through an examination of a business’ value chain. This conceptual study begins by proposing a business-centric interaction model that helps explain the interactions among all participants involved in an organization’s possible activities. The paper then explores the potential fit of wireless and mobile technologies across a company’s value chain through the citation of potential mobile and wireless business applications currently available. Finally, a discussion on the expected benefits and relevant concerns of mobile technology, as well as considerations for future research are provided

Improving transitions in acute stroke patients discharged to home: the Michigan stroke transitions trial (MISTT) protocol

Abstract Background For some stroke patients and caregivers, navigating the transition between hospital discharge and returning home is associated with substantial psychosocial and health-related challenges. Currently, no evidence-based standard of care exists that addresses the concerns of stroke patients and caregivers during the transition period. Objectives of the Michigan Stroke Transitions Trial (MISTT) are to test the impact of a social worker home-based case management program, as well as an online information and support resource, on patient and caregiver outcomes after returning home. Methods The Michigan Stroke Transitions Trial is a randomized, pragmatic, open (un-blinded), 3-group parallel designed superiority trial conducted in 3 Michigan hospitals. Eligible participants are adult acute stroke patients discharged home directly or within 4 weeks of being discharged to a rehabilitation facility. The patient’s primary caregiver is also invited to participate. Patients are randomized on the day they return home using a randomized block design. Consented patients discharged to a rehabilitation facility who do not go home within 4 weeks are dropped from the study. The 2 study interventions begin within a week of returning home and conclude 3 months later. The 3-group design compares usual care to either a home-based social worker stroke case management (SWSCM) program, or a combination of the SWSCM program plus access to an online information and support resource (MISTT website). Outcomes data are collected at 7-days and 90-days by trained telephone interviewers. Primary patient outcomes include the PROMIS global 10 score (a generic Quality of Life scale), and the Patient Activation Measure (PAM). Caregiver outcomes include the Bakas Caregiving Outcomes Scale. Final analysis will be based on 214 randomized acute stroke patients. To accommodate subjects excluded due to prolonged rehabilitation stays, as well as those lost-to-follow-up, up to 315 patients will be consented. Discussion The MISTT study will determine if a home-based case management program designed around the needs and preferences of stroke patients and caregivers, alone or in combination with a patient-centered online information and support resource can improve stroke survivor and caregiver outcomes 3 months after returning home. Trial registration ClinicalTrials.gov: NCT02653170 (Protocol ID: 135457). Registered April 9, 2015