Abstract: Future healthcare ecosystems integrating human-centered artificial intelligence (AI) will be indispensable. AI-based healthcare technologies can support diagnosis processes and make healthcare more accessible globally. In this context, we conducted a design science research project intending to introduce design principles for user interfaces (UIs) of explainable AI-based (XAI) medical decision support systems (XAI-based MDSS). We used an archaeological approach to analyze the UI of an existing web-based system in the context of skin lesion classification called DIAnA (Dermatological Images – Analysis and Archiving). One of DIAnA’s unique characteristics is that it should be usable for the stakeholder groups of physicians and patients. We conducted the in-situ analysis with these stakeholders using the think-aloud method and semi-structured interviews. We anchored our interview guide in concepts of the Theory of Interactive Media Effects (TIME), which formulates UI features as causes and user psychology as effects. Based on the results, we derived 20 design requirements and developed nine design principles grounded in TIME for this class of XAI-based MDSS, either associated with the needs of physicians, patients, or both. Regarding evaluation, we first conducted semi-structured interviews with software developers to assess the reusability of our design principles. Afterward, we conducted a survey with user experience/interface designers. The evaluation uncovered that 77% of the participants would adopt the design principles, and 82% would recommend them to colleagues for a suitable project. The findings prove the reusability of the design principles and highlight a positive perception by potential implementers.
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Semantic filters:
theory of interactive media effects
Topics:
explainable artificial intelligence artificial intelligence usability user experience user interface
Methods:
qualitative interview design principle personal interview cognitive walkthrough survey
Theories:
theory of interactive media effects theory of affordance sociotechnical systems theory
A study plan for investigating Smart brush for better oral hygiene in frail elderly
2022 | Americas Conference on Information Systems | Citations: 0
Abstract: Oral health in Australia's older population is of great concern and studies sho ...
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Abstract: Oral health in Australia's older population is of great concern and studies show that two-thirds of residents in aged care facilities have significant oral problems. Cognitive, and functional alterations that accumulate while ageing leads to increasing care dependency which then impacts on the ability to maintain good oral health. This paper presents ideas for a pilot investigation into the effectiveness of smart brush technology for improving oral health among the elderly. The proposed pilot study will follow a design that incorporates a Critical Realist methodological perspective known as the Context-Initiative-Mechanism-Outcome approach with a theoretical perspective, the theory of interactive Media effects (TIME). This paper presents a proposition suggesting smart brush as a means for improving oral health among the elderly through identification of context (frail elderly), initiative (smart brush), mechanism (interaction with the smart brush affordances), and outcome (improved oral health). Both qualitative (interviews) and quantitative data (plaque score, brushing duration/coverage) will be collected and analyzed for testing the proposition.
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Semantic filters:
theory of interactive media effects
Topics:
information system use intrinsic motivation mobile application IT work digital media
Methods:
personal interview mixed method qualitative interview
Theories:
theory of interactive media effects theory of affordance