Carnegie Mellon University

About: Carnegie Mellon University is a education organization based out in Pittsburgh, Pennsylvania, United States. It is known for research contribution in the topics: Computer science & Robot. The organization has 36317 authors who have published 104359 publications receiving 5975734 citations. The organization is also known as: CMU & Carnegie Mellon.

Helping a Victim or Helping the Victim: Altruism and Identifiability

Abstract: Although it has been claimed that people care more about identifiable than statistical victims, demonstrating this “identifiable victim effect” has proven difficult because identification usually provides information about a victim, and people may respond to the information rather than to identification per se. We show that a very weak form of identifiability—determining the victim without providing any personalizing information—increases caring. In the first, laboratory study, subjects were more willing to compensate others who lost money when the losers had already been determined than when they were about to be. In the second, field study, people contributed more to a charity when their contributions would benefit a family that had already been selected from a list than when told that the family would be selected from the same list.

Videos as Space-Time Region Graphs

Abstract: How do humans recognize the action “opening a book”? We argue that there are two important cues: modeling temporal shape dynamics and modeling functional relationships between humans and objects. In this paper, we propose to represent videos as space-time region graphs which capture these two important cues. Our graph nodes are defined by the object region proposals from different frames in a long range video. These nodes are connected by two types of relations: (i) similarity relations capturing the long range dependencies between correlated objects and (ii) spatial-temporal relations capturing the interactions between nearby objects. We perform reasoning on this graph representation via Graph Convolutional Networks. We achieve state-of-the-art results on the Charades and Something-Something datasets. Especially for Charades with complex environments, we obtain a huge \(4.4\%\) gain when our model is applied in complex environments.

Homophily and Contagion Are Generically Confounded in Observational Social Network Studies

Abstract: We consider processes on social networks that can potentially involve three factors: homophily, or the formation of social ties due to matching individual traits; social contagion, also known as social influence; and the causal effect of an individual's covariates on their behavior or other measurable responses. We show that, generically, all of these are confounded with each other. Distinguishing them from one another requires strong assumptions on the parametrization of the social process or on the adequacy of the covariates used (or both). In particular we demonstrate, with simple examples, that asymmetries in regression coefficients cannot identify causal effects, and that very simple models of imitation (a form of social contagion) can produce substantial correlations between an individual's enduring traits and their choices, even when there is no intrinsic affinity between them. We also suggest some possible constructive responses to these results.

Interstitial Pressure Gradients in Tissue-isolated and Subcutaneous Tumors: Implications for Therapy

Abstract: High interstitial fluid pressure (IFP) in solid tumors is associated with reduced blood flow as well as inadequate delivery of therapeutic agents such as monoclonal antibodies. In the present study, IFP was measured as a function of radial position within two rat tissue-isolated tumors (mammary adenocarcinoma R3230AC, 0.4-1.9 g, n = 9, and Walker 256 carcinoma, 0.5-5.0 g, n = 6) and a s.c. tumor (mammary adenocarcinoma R3230AC, 0.6-20.0 g, n = 7). Micropipettes (tip diameters 2 to 4 microns) connected to a servo-null pressure-monitoring system were introduced to depths of 2.5 to 3.5 mm from the tumor surface and IFP was measured while the micropipettes were retrieved to the surface. The majority (86%) of the pressure profiles demonstrated a large gradient in the periphery leading to a plateau of almost uniform pressure in the deeper layers of the tumors. Within isolated tumors, pressures reached plateau values at a distance of 0.2 to 1.1 mm from the surface. In s.c. tumors the sharp increase began in skin and levelled off at the skin-tumor interface. These results demonstrate for the first time that the IFP is elevated throughout the tumor and drops precipitously to normal values in the tumor's periphery or in the immediately surrounding tissue. These results confirm the predictions of our recently published mathematical model of interstitial fluid transport in tumors (Jain and Baxter, Cancer Res., 48: 7022-7032, 1988), offer novel insight into the etiology of interstitial hypertension, and suggest possible strategies for improved delivery of therapeutic agents.

Past, present, and future of user interface software tools

Abstract: A user interface software tool helps developers design and implement the user interface. Research on past tools has had enormous impact on today's developers—virtually all applications today are built using some form of user interface tool. In this article, we consider cases of both success and failure in past user interface tools. From these cases we extract a set of themes which can serve as lessons for future work. Using these themes, past tools can be characterized by what aspects of the user interface they addressed, their threshold and ceiling, what path of least resistance they offer, how predictable they are to use, and whether they addressed a target that became irrelevant. We believe the lessons of these past themes are particularly important now, because increasingly rapid technological changes are likely to significantly change user interfaces. We are at the dawn of an era where user interfaces are about to break out of the “desktop” box where they have been stuck for the past 15 years. The next millenium will open with an increasing diversity of user interface on an increasing diversity of computerized devices. These devices include hand-held personal digital assistants (PDAs), cell phones, pages, computerized pens, computerized notepads, and various kinds of desk and wall size-computers, as well as devices in everyday objects (such as mounted on refridgerators, or even embedded in truck tires). The increased connectivity of computers, initially evidenced by the World Wide Web, but spreading also with technologies such as personal-area networks, will also have a profound effect on the user interface to computers. Another important force will be recognition-based user interfaces, especially speech, and camera-based vision systems. Other changes we see are an increasing need for 3D and end-user customization, programming, and scripting. All of these changes will require significant support from the underlying user interface sofware tools.