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tissue from biopsies) to reference when making a medical decision with a new patient.
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One application of ML is to retrieve visually similar medical images from past patients (e.g. Machine learning (ML) is increasingly being used in image retrieval systems for medical decision making. Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making Based on the evaluations, we believe the set of design guidelines can serve as a resource to practitioners working on the design of applications and features that harness AI technologies, and to researchers interested in the further development of human-AI interaction design principles. The results verify the relevance of the guidelines over a spectrum of interaction scenarios and reveal gaps in our knowledge, highlighting opportunities for further research. These guidelines are validated through multiple rounds of evaluation including a user study with 49 design practitioners who tested the guidelines against 20 popular AI-infused products. We propose 18 generally applicable design guidelines for human-AI interaction. Principles for human-AI interaction have been discussed in the human-computer interaction community for over two decades, but more study and innovation are needed in light of advances in AI and the growing uses of AI technologies in human-facing applications. Guidelines for Human-AI InteractionĪdvances in artificial intelligence (AI) frame opportunities and challenges for user interface design. Altogether, our findings point to opportunities for designs, policies, and algorithms to improve women’s safety online in South Asia. Participants coped through informal channels rather than through technological protections or law enforcement.
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Consequences of abuse included emotional harm, reputation damage, and physical and sexual violence. We found that a majority of our participants regularly contended with online abuse, experiencing three major abuse types: cyberstalking, impersonation, and personal content leakages. To better understand the gendered risks and coping practices online in South Asia, we present a qualitative study of the online abuse experiences and coping practices of 199 people who identified as women and 6 NGO staff from India, Pakistan, and Bangladesh, using a feminist analysis. South Asia faces one of the largest gender gaps online globally, and online safety is one of the main barriers to gender-equitable Internet access. "They Don’t Leave Us Alone Anywhere We Go": Gender and Digital Abuse in South Asia Additionally, the model may facilitate a precise identification of translational barriers, which allows devising more effective strategies to increase the use of scientific findings in design practice.
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The model offers a conceptual framework that can be used by researchers and practitioners to visualize and describe the progression of HCI knowledge through a sequence of translations. We propose a model for Translational Science in HCI based on the concept of a continuum to describe how knowledge progresses (or stalls) through multiple steps and translations until it can influence design practice. In this paper, we provide an overview of Translational Science in HCI by triangulating literature related to the research-practice gap with interview data from many parties engaged (or not) in translating HCI knowledge. Using scientific discoveries to inform design practice is an important, but difficult, objective in HCI.