Joseph Chee Chang's research while affiliated with Carnegie Mellon University and other places
What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
Publications (19)
When reading a scholarly article, inline citations help researchers contextualize the current article and discover relevant prior work. However, it can be challenging to prioritize and make sense of the hundreds of citations encountered during literature reviews. This paper introduces CiteSee, a paper reading tool that leverages a user's publishing...
Scholars who want to research a scientific topic must take time to read, extract meaning, and identify connections across many papers. As scientific literature grows, this becomes increasingly challenging. Meanwhile, authors summarize prior research in papers' related work sections, though this is scoped to support a single paper. A formative study...
In order to help scholars understand and follow a research topic, significant research has been devoted to creating systems that help scholars discover relevant papers and authors. Recent approaches have shown the usefulness of highlighting relevant authors while scholars engage in paper discovery. However, these systems do not capture and utilize...
People spend a significant amount of time trying to make sense of the internet, collecting content from a variety of sources and organizing it to make decisions and achieve their goals. While humans are able to fluidly iterate on collecting and organizing information in their minds, existing tools and approaches introduce significant friction into...
Reviewing the literature to understand relevant threads of past work is a critical part of research and vehicle for learning. However, as the scientific literature grows the challenges for users to find and make sense of the many different threads of research grow as well. Previous work has helped scholars to find and group papers with citation inf...
Consumers conducting comparison shopping, researchers making sense of competitive space, and developers looking for code snippets online all face the challenge of capturing the information they find for later use without interrupting their current flow. In addition, during many learning and exploration tasks, people need to externalize their mental...
Whether figuring out where to eat in an unfamiliar city or deciding which apartment to live in, consumer generated data (i.e. reviews and forum posts) are often an important influence in online decision making. To make sense of these rich repositories of diverse opinions, searchers need to sift through a large number of reviews to characterize each...
Scientific discoveries are often driven by finding analogies in distant domains, but the growing number of papers makes it difficult to find relevant ideas in a single discipline, let alone distant analogies in other domains. To provide computational support for finding analogies across domains, we introduce SOLVENT, a mixed-initiative system where...
People engaged in complex searches such as planning a vacation or understanding their medical symptoms are often overwhelmed by opening and managing many tabs. These challenges are exacerbated as search moves to smartphones and mobile devices where screen real-estate is limited and tasks are frequently suspended, resumed, and interleaved. Rather th...
Crowd-powered conversational assistants have been shown to be more robust than automated systems, but do so at the cost of higher response latency and monetary costs. A promising direction is to combine the two approaches for high quality, low latency, and low cost solutions. In this paper, we introduce Evorus, a crowd-powered conversational assist...
Crowd-powered conversational assistants have found to be more robust than automated systems, but do so at the cost of higher response latency and monetary costs. One promising direction is to combined the two approaches for high quality and low cost solutions. However, traditional offline approaches of building automated systems with the crowd requ...
Crowdsourcing provides a scalable and efficient way to construct labeled datasets for training machine learning systems. However, creating comprehensive label guidelines for crowdworkers is often prohibitive even for seemingly simple concepts. Incomplete or ambiguous label guidelines can then result in differing interpretations of concepts and inco...
Patients researching medical diagnoses, scientist exploring new fields of literature, and students learning about new domains are all faced with the challenge of capturing information they find for later use. However, saving information is challenging on mobile devices, where the small screen and font sizes combined with the inaccuracy of finger ba...
Crowdsourced clustering approaches present a promising way to harness deep semantic knowledge for clustering complex information. However, existing approaches have difficulties supporting the global context needed for workers to generate meaningful categories, and are costly because all items require human judgments. We introduce Alloy, a hybrid ap...
Crowdsourcing offers a powerful new paradigm for online work. However, real world tasks are often interdependent, requiring a big picture view of the difference pieces involved. Existing crowdsourcing approaches that support such tasks -- ranging from Wikipedia to flash teams -- are bottlenecked by relying on a small number of individuals to mainta...
Citations
... For example, a practitioner learning about machine learning could bring up Concept Cards for language models and transformer models when mentioned in the current paper and see prior notes and relevant paragraphs gathered from papers she has recently read to keep track of important concepts used across literature. Recent work both in NLP on linking scientific concepts [10] and in HCI on in-situ web clipping, organization and maintaining provenance [25,35] could potentially lead to techniques for driving this novel interaction for scholarly research support. ...
... We organize prior systems for sensemaking into aids for a collection of documents [45,80,113], and systems to facilitate reading [32,42,131,139] and note-taking [38,58,121,142] of individual documents . ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/11431281126437082-1678721293481_Q64/Hyeonsu-Kang.jpg)
... Relatedly [39] helps users discover relevant paragraphs from papers, and CoNotate [38] and Interweave [40] help by expanding queries that promote 'active' searching [37]. Finally, several systems have been developed to help reduce the cognitive cost of reading papers and documents (e.g., ScholarPhi [16], CiteRead [44], Scim [44], Fuse [27], Crystalline [31], and Wigglite [32]). Despite differences in use case scenarios, these systems share a commonality in design that centers papers as the mode of interaction. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/560435881406464-1510629734095_Q64/Michael-Liu-35.jpg)
![[object Object]](https://i1.rgstatic.net/ii/profile.image/276897524142091-1443028923004_Q64/Brad-Myers.jpg)
... Further aspects need to be considered in order to provide users with a quick overview of the data being processed. Approaches to manage complex tasks in the mobile web browser could be used to prevent policy length expansion [11,32]. ...
... For example, a common way to collect information today is to use browser tabs to externalize and keep track of information. However, tabs' flat structure and lack of support for more complex organization leads to a multitude of issues, from tab overload [3] and tab hoarding [51] [47] [12] to losing users' mental context which isn't externalized anywhere [23]. These issues are not easily fixed by introducing tab groups or hierarchies which can correspondingly lead to tab group overload [6]. ...
... With the above in mind, we developed Fuse to assist users in conducting online research by enabling them to collect and organize web document clips and links in-situ in a persistent browser sidebar. Typically, a user synthesizing online content would need to switch between the content they are exploring and a reference document with their collected items as they synthesize information across multiple online sources -a process often done with high contextswitching costs using copy-and-paste and an external spreadsheet application [5]. Existing systems use a combination of techniques for avoiding this issue, from 'importing' entire tabs in Tabs.do [2] to automatically extracting pre-defined content (such as price and average reviews) from tabs in Mesh [5]. ...
... One key component of interactive recommender systems is supporting users in making sense of the recommended items. For example, SearchLens [6] and FeedLens [23] adopted a lens metaphor and provided interactive at-a-glance explanations and relevance filters. Findings in RelevanceTurner [52] also showed the benefits of making recommendation sources more transparent in discovery tasks. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/272393671278599-1441955120668_Q64/Adam-Perer.jpg)
... The sixth theme suggests that AI can be used as a general-purpose innovation tool (Chan et al. 2018). AI applications in the workplace encourage curiosity, questioning, thinking, trial and error, reasoning, and elaboration (Güss et al. 2021). ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/272318702288915-1441937246670_Q64/Joel-Chan-2.jpg)
... Further aspects need to be considered in order to provide users with a quick overview of the data being processed. Approaches to manage complex tasks in the mobile web browser could be used to prevent policy length expansion [11,32]. ...
... Similarly, the system Edina [40] uses a technique called self-dialogs in which crowdworkers write the questions of a user and the answers of the chatbot. The system Fantom [38] uses a dialog system that automatically creates crowd-tasks for unanswered questions and Evorus [37] engages crowd-workers in the answer generation while improving itself over time. Besides their advantages, crowd-powered dialog systems face the challenge that malicious users have shown to abuse these systems (see [45]). ...
