Jina Huh

BlogCentral: the role of internal blogs at work

This paper describes a preliminary investigation into an internal corporate blogging community called BlogCentral. We conducted semi-structured interviews with fourteen active bloggers to investigate the role of blogging and its effects on work processes. Our findings suggest that BlogCentral facilitates access to tacit knowledge and resources vetted by experts, and, most importantly, contributes to the emergence of collaboration across a broad range of communities within the enterprise.

Collaborative help in chronic disease management: supporting individualized problems

Coping with chronic illness disease is a long and lonely journey, because the burden of managing the illness on a daily basis is placed upon the patients themselves. In this paper, we present our findings for how diabetes patient support groups help one another find individualized strategies for managing diabetes. Through field observations of face-to-face diabetes support groups, content analysis of an online diabetes community, and interviews, we found several help interactions that are critical in helping patients in finding individualized solutions. Those are: (1) patients operationalize their experiences to easily contextualize and share executable strategies; (2) operationalization has to be done within the larger context of sharing illness trajectories; and (3) the support groups develop common understanding towards diabetes management. We further discuss how our findings translate into design implications for supporting chronic illness patients in online community settings.

Health Vlogs as Social Support for Chronic Illness Management

Studies have shown positive impact of video blogs (vlogs) on patient education. However, we know little on how patient-initiated vlogs shape the relationships among vloggers and viewers. We qualitatively analyzed 72 vlogs on YouTube by users diagnosed with HIV, diabetes, or cancer and 1,274 comments posted to the vlogs to understand viewers’ perspectives on the vlogs. We found that the unique video medium allowed intense and enriched personal and contextual disclosure to the viewers, leading to strong community-building activities and social support among vloggers and commenters, both informationally and emotionally. Furthermore, the unique communication structure of the vlogs allowed ad hoc small groups to form, which showed different group behavior than typical text-based social media, such as online communities. We provide implications to the Health Care Industry (HCI) community on how future technologies for health vlogs could be designed to further support chronic illness management.

Health vlogger-viewer interaction in chronic illness management

Health video blogs (vlogs) allow individuals with chronic illnesses to share their stories, experiences, and knowledge with the general public. Furthermore, health vlogs help in creating a connection between the vlogger and the viewers. In this work, we present a qualitative study examining the various methods that health vloggers use to establish a connection with their viewers. We found that vloggers used genres to express specific messages to their viewers while using the uniqueness of video to establish a deeper connection with their viewers. Health vloggers also explicitly sought interaction with their viewers. Based on these results, we present design implications to help facilitate and build sustainable communities for vloggers.

Answers to Health Questions: Internet Search Results Versus Online Health Community Responses

Background About 6 million people search for health information on the Internet each day in the United States. Both patients and caregivers search for information about prescribed courses of treatments, unanswered questions after a visit to their providers, or diet and exercise regimens. Past literature has indicated potential challenges around quality in health information available on the Internet. However, diverse information exists on the Internet—ranging from government-initiated webpages to personal blog pages. Yet we do not fully understand the strengths and weaknesses of different types of information available on the Internet. Objective The objective of this research was to investigate the strengths and challenges of various types of health information available online and to suggest what information sources best fit various question types. Methods We collected questions posted to and the responses they received from an online diabetes community and classified them according to Rothwell’s classification of question types (fact, policy, or value questions). We selected 60 questions (20 each of fact, policy, and value) and the replies the questions received from the community. We then searched for responses to the same questions using a search engine and recorded the Results Community responses answered more questions than did search results overall. Search results were most effective in answering value questions and least effective in answering policy questions. Community responses answered questions across question types at an equivalent rate, but most answered policy questions and the least answered fact questions. Value questions were most answered by community responses, but some of these answers provided by the community were incorrect. Fact question search results were the most clinically valid. Conclusions The Internet is a prevalent source of health information for people. The information quality people encounter online can have a large impact on them. We present what kinds of questions people ask online and the advantages and disadvantages of various information sources in getting answers to those questions. This study contributes to addressing people’s online health information needs.

Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text

Background The prevalence and value of patient-generated health text are increasing, but processing such text remains problematic. Although existing biomedical natural language processing (NLP) tools are appealing, most were developed to process clinician- or researcher-generated text, such as clinical notes or journal articles. In addition to being constructed for different types of text, other challenges of using existing NLP include constantly changing technologies, source vocabularies, and characteristics of text. These continuously evolving challenges warrant the need for applying low-cost systematic assessment. However, the primarily accepted evaluation method in NLP, manual annotation, requires tremendous effort and time. Objective The primary objective of this study is to explore an alternative approach—using low-cost, automated methods to detect failures (eg, incorrect boundaries, missed terms, mismapped concepts) when processing patient-generated text with existing biomedical NLP tools. We first characterize common failures that NLP tools can make in processing online community text. We then demonstrate the feasibility of our automated approach in detecting these common failures using one of the most popular biomedical NLP tools, MetaMap. Methods Using 9657 posts from an online cancer community, we explored our automated failure detection approach in two steps: (1) to characterize the failure types, we first manually reviewed MetaMap’s commonly occurring failures, grouped the inaccurate mappings into failure types, and then identified causes of the failures through iterative rounds of manual review using open coding, and (2) to automatically detect these failure types, we then explored combinations of existing NLP techniques and dictionary-based matching for each failure cause. Finally, we manually evaluated the automatically detected failures. Results From our manual review, we characterized three types of failure: (1) boundary failures, (2) missed term failures, and (3) word ambiguity failures. Within these three failure types, we discovered 12 causes of inaccurate mappings of concepts. We used automated methods to detect almost half of 383,572 MetaMap’s mappings as problematic. Word sense ambiguity failure was the most widely occurring, comprising 82.22% of failures. Boundary failure was the second most frequent, amounting to 15.90% of failures, while missed term failures were the least common, making up 1.88% of failures. The automated failure detection achieved precision, recall, accuracy, and F1 score of 83.00%, 92.57%, 88.17%, and 87.52%, respectively. Conclusions We illustrate the challenges of processing patient-generated online health community text and characterize failures of NLP tools on this patient-generated health text, demonstrating the feasibility of our low-cost approach to automatically detect those failures. Our approach shows the potential for scalable and effective solutions to automatically assess the constantly evolving NLP tools and source vocabularies to process patient-generated text.

Examining appropriation, re-use, and maintenance for sustainability

Within the past few years, the field of HCI has increasingly addressed the issue of environmental sustainability, primarily identifying the challenges and developing an agenda for designing for sustainability. Yet, the most difficult task remains, how do we develop realistic solutions when the digital ethos is based upon short-lived computing products that come and go at rapid pace. By examining appropriation, re-use, and maintenance practices, this workshop aims to identify sustainable interaction design challenges and directions in re-utilizing used or obsolete computing products for prolonged use.

Beyond usability: taking social, situational, cultural, and other contextual factors into account

Design and evaluation in mainstream HCI have often relied on scientific measurements of efficiency and error. Although usability and usefulness are still primary concerns for HCI, researchers and designers in the field are attempting to move beyond, investigating a variety of approaches such as user experience, aesthetic interaction, ambiguity, slow technology, and various ways to understand the social, cultural, and other contextual aspects of our world. While some are driven by non-utilitarian theoretical frameworks, many are not informed by any particular framework or theory. Regardless, there has not been a coherent body of discussion in the field of HCI. This SIG will provide a forum for people to discuss current and future design approaches that move beyond usability. It will address both the relation of underlying paradigms and the relation of design and research.

BeUpright: Posture Correction Using Relational Norm Intervention

Research shows the critical role of social relationships in behavior change, and the advancement of mobile technologies brings new opportunities of using online social support for persuasive applications. In this paper, we propose Relational Norm Intervention (RNI) model for behavior change, which involves two individuals as a target user and a helper respectively. RNI model uses Negative Reinforcement and Other-Regarding Preferences as motivating factors for behavior change. The model features the passive participation of a helper who will undergo artificially generated discomforts (e.g., limited access to a mobile device) when a target user performs against a target behavior. Based on in-depth discussions from a two-phase design workshop, we designed and implemented BeUpright, a mobile application employing RNI model to correct sitting posture of a target user. Also, we conducted a two-week study to evaluate the effectiveness and user experience of BeUpright. The study showed that the RNI model has a potential to increase efficacy, in terms of behavior change, compared to conventional notification approaches. The most influential factor of RNI model in the changing the behavior of target users was the intention to avoid discomforting their helpers. RNI model also showed a potential to help unmotivated individuals in behavior change. We discuss the mechanism of the RNI model in relation to prior literature on behavior change and implications of exploiting discomfort in mobile behavior change services.

The use of aesthetics in HCI systems

As computing expands its domain from workplace to pervasive and domestic environments, interest in aesthetics for designing is increasing in HCI. HCI literatures in aesthetics provide wide variety of theoretical foundations for how aesthetics might be interpreted and potentially used for design. However, aesthetics in designing HCI systems have been mainly studied as a source for decoration or visualizing information. In this paper, we present our initial investigation on a qualitative study with an awareness information system prototype to explore what decorative artallcan bring to HCI systems beyond decoration and/or effective communication.