Kristin Dew

Boundary Negotiating Artifacts in Personal Informatics: Patient-Provider Collaboration with Patient-Generated Data

Patient-generated data is increasingly common in chronic disease care management. Smartphone applications and wearable sensors help patients more easily collect health information. However, current commercial tools often do not effectively support patients and providers in collaboration surrounding these data. This paper examines patient expectations and current collaboration practices around patient-generated data. We survey 211 patients, interview 18 patients, and re-analyze a dataset of 21 provider interviews. We find that collaboration occurs in every stage of self- tracking and that patients and providers create boundary negotiating artifacts to support the collaboration. Building upon current practices with patient-generated data, we use these theories of patient and provider collaboration to analyze misunderstandings and privacy concerns as well as identify opportunities to better support these collaborations. We reflect on the social nature of patient-provider collaboration to suggest future development of the stage-based model of personal informatics and the theory of boundary negotiating artifacts.

Karaoke: an assistive alternative interface for illiterate users

In this extended abstract, the authors describe their design proposal and method for developing an adaptive, assistive alternative interface for illiterate mobile device users in the US. Based on user research and design suggestions from Knoche & Huangs CHI 2012 workshop, the authors designed the interface using key ideas from Flanagan et al.s values-sensitive design process.

Lessons from the Woodshop: Cultivating Design with Living Materials

This paper describes an eighteen-month ethnography of timber framing at a tiny house construction program in Port Townsend, Washington. This case exposes the intricate, ongoing processes that define a project where people learn to imagine, create, and ultimately maintain living materials. This case sheds light on the nature and scope of interaction design with living materials, an area of growing significance to HCI scholarship on new materials, sustainable design, and digital fabrication. Drawing from this project, we distill five lessons for design with living, finite materials. We end by discussing three emerging areas for HCI: designing for material recuperation, collaborating with more-than-human actors, and approaching material properties as prototyping sites.

Development of machine translation technology for assisting health communication: A systematic review

OBJECTIVES To (1) characterize how machine translation (MT) is being developed to overcome language barriers in health settings; and (2) based on evaluations presented in the literature, determine which MT approaches show evidence of promise and what steps need to be taken to encourage adoption of MT technologies in health settings. MATERIALS & METHODS We performed a systematic literature search covering 2006-2016 in major health, engineering, and computer science databases. After removing duplicates, two levels of screening identified 27 articles for full text review and analysis. Our review and qualitative analysis covered application setting, target users, underlying technology, whether MT was used in isolation or in combination with human editing, languages tested, evaluation methods, findings, and identified gaps. RESULTS Of 27 studies, a majority focused on MT systems for use in clinical settings (n = 18), and eight of these involved speech-based MT systems for facilitating patient-provider communications. Text-based MT systems (n = 19) aimed at generating a range of multilingual health materials. Almost a third of all studies (n = 8) pointed to MTs potential as a starting point before human input. Studies employed a variety of human and automatic MT evaluation methods. In comparison studies, statistical machine translation (SMT) systems were more accurate than rule-based systems when large corpora were available. For a variety of systems, performance was best for translations of simple, less technical sentences and from English to Western European languages. Only one system has been fully deployed. CONCLUSIONS MT is currently being developed primarily through pilot studies to improve multilingual communication in health settings and to increase access to health resources for a variety of languages. However, continued concerns about accuracy limit the deployment of MT systems in these settings. The variety of piloted systems and the lack of shared evaluation criteria will likely continue to impede adoption in health settings, where excellent accuracy and a strong evidence base are critical. Greater translation accuracy and use of standard evaluation criteria would encourage deployment of MT into health settings. For now, the literature points to using MT in health communication as an initial step to be followed by human correction.

Glimmers and half-built projects

This forum highlights conversations at the intersection of design methods and social studies of technology. By highlighting a diversity of perspectives on design interventions and programs, we aim to forge new connections between HCI design and communication, science and technology studies, and media studies scholarship. --- Daniela Rosner, Editor

Evaluating Groupware Prototypes with Discount Methods

Evaluating a prototype is necessary to user-centered software design, but evaluating groupware systems prior to full deployment can be challenging and costly. Existing groupware evaluation methods focus on individual users, expert inspections, or require the system to be rolled out. We describe a method -- based on Gutwin and Greenbergs mechanics of collaboration (MoC) framework -- for evaluating prototype groupware systems that have not yet been deployed with the minimum number of users needed to be truly functional. We believe this is a valuable method for evaluating early prototype groupware.

Machine Assisted Translation of Health Materials to Chinese

There is an unmet need for Chinese language health materials in the USA. We investigated the use of machine translation (MT) plus human post-editing (PE) to produce Chinese translations of public health materials. We collected 60 documents that had been manually translated from English to traditional Chinese. The English versions were translated to Chinese using MT and assessed for errors and time required to correct via PE. Results suggest poor initial translation may explain the lack of quality translations despite PE.