Fully articulated hand tracking promises to enable fundamentally new interactions with virtual and augmented worlds, but the limited accuracy and efficiency of current systems has prevented widespread adoption. Today's dominant paradigm uses machine learning for initialization and recovery followed by iterative model-fitting optimization to achieve a detailed pose fit. We follow this paradigm, but make several changes to the model-fitting, namely using: (1) a more discriminative objective function; (2) a smooth-surface model that provides gradients for non-linear optimization; and (3) joint optimization over both the model pose and the correspondences between observed data points and the model surface. While each of these changes may actually increase the cost per fitting iteration, we find a compensating decrease in the number of iterations. Further, the wide basin of convergence means that fewer starting points are needed for successful model fitting. Our system runs in real-time on CPU only, which frees up the commonly over-burdened GPU for experience designers. The hand tracker is efficient enough to run on low-power devices such as tablets. We can track up to several meters from the camera to provide a large working volume for interaction, even using the noisy data from current-generation depth cameras. Quantitative assessments on standard datasets show that the new approach exceeds the state of the art in accuracy. Qualitative results take the form of live recordings of a range of interactive experiences enabled by this new approach.

OBJECTIVE -To examine the relationship between disordered eating attitudes and behaviors, BMI, and glycemic control in adolescents with type 1 diabetes.RESEARCH DESIGN AND METHODS -In a cross-sectional design, 152 adolescents (ages 11-19 years) completed three scales from the Eating Disorders Inventory (EDI): Body Dissatisfaction, Drive for Thinness, and Bulimia. All subjects had diabetes for Ͼ1 year. Glycemic control was assessed by glycosylated hemoglobin (HbA 1c ). Height and weight were measured to assess BMI.RESULTS -Adolescents with type 1 diabetes did not report more disordered eating attitudes and behaviors than the normative comparison sample. Male subjects with type 1 diabetes reported fewer symptoms of bulimia and female subjects with type 1 diabetes reported greater body satisfaction than the normative group. A higher BMI was a significant predictor of greater body dissatisfaction, more so for female than male subjects. Symptoms of bulimia were associated with older adolescence and female sex. Those with more symptoms of bulimia were also more likely to have a higher BMI. Sex (female) and body dissatisfaction (more dissatisfied) predicted a stronger desire to be thin. Longer duration of disease, more symptoms of bulimia, and obesity all predicted poorer glycemic control.

Prototypes and prototyping have had a long and important history in the HCI community and have played a highly significant role in creating technology that is easier and more fulfilling to use. Yet, as focus in HCI is expanding to investigate complex matters of human relationships with technology over time in the intimate and contested contexts of everyday life, the notion of a 'prototype' may not be fully sufficient to support these kinds of inquiries. We propose the research product as an extension and evolution of the research prototype to support generative inquiries in this emerging research area. We articulate four interrelated qualities of research products-inquiry-driven, finish, fit, and independent-and draw on these qualities to describe and analyze five different yet related design research cases we have collectively conducted over the past six years. We conclude with a discussion of challenges and opportunities for crafting research products and the implications they suggest for future design-oriented HCI research.

The Petri net model construction tool and the data files for the B. subtilis sporulation case study are available at http://bioinf.ncl.ac.uk/gnapn.

We describe the design, implementation and deployment of Photobox, a domestic technology that prints four or five randomly selected photos from the owner's Flickr collection at random intervals each month. We deployed Photobox in three homes for fourteen months to explore how the slow pace at which it operates could support experiences of anticipation and re-visitation of the past. Findings reveal changes in attitude toward the device, from frustration to eventual acceptance. Participants drew on the photos to reflect on past life events and reactions indicated a renewed interest for their Flickr collection. Photobox also provoked reflection on technology in and around the home. These findings suggest several opportunities, such as designing for anticipation, better supporting reflection on the past, and, more generally, expanding the slow technology research program within the HCI community.

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While it can be a delicate and emotionally-laden topic, new technological trends compel us to confront a range of problems and issues about death and bereavement. This area presents complex challenges and the associated literature is extensive. In this paper we offer a way of slicing through several perspectives in the social sciences to see clearly a set of salient issues related to bereavement. Following this, we present a theoretical lens to provide a way of conceptualizing how the HCI community could begin to approach such issues. We then report field evidence from 11 in-depth interviews conducted with bereaved participants and apply the proposed lens to unpack key emergent problems and tensions. We conclude with a discussion on how the HCI design space might be sensitized to better support the social processes that unfold when bereavement occurs.