Jennifer Marlow
FX Palo Alto Laboratory
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jennifer Marlow.
conference on computer supported cooperative work | 2016
Jennifer Marlow; Scott Carter; Nathaniel Good; Jung-Wei Chen
Distributed meetings can be messy, particularly when the task requires collaboration around multimedia artifacts. Teams must not only share a variety of materials related to the work in real time, but also need to refer back to information after a meeting ends. While video tools make it relatively easy to have conversations at a distance, they are less adept at sharing and archiving multimedia content. We conducted a survey of and interviews with members of distributed teams to investigate how they create, use, and share multimedia content before, during, and after distributed meetings. Our findings shed light on decisions made and rationales used in selecting technologies to prepare for, conduct, and archive the results of a video-mediated distributed meeting. The results suggest a need for flexible interfaces for information sharing in multiple meeting contexts so content can be both easily referred to in the moment and also found again later.
acm multimedia | 2015
Andreas Girgensohn; Jennifer Marlow; Frank M. Shipman; Lynn Wilcox
While synchronous meetings are an important part of collaboration, it is not always possible for all stakeholders to meet at the same time. We created the concept of hypermeetings for meetings with asynchronous attendance. Such hypermeetings consist of a chain of video-recorded meetings with hyperlinks for navigating through them. Our HyperMeeting system supports the viewing of prior meetings during a videoconference. Natural viewing behavior such as pausing video generates hyperlinks between previous and current meetings. During playback, automatic link-following guided by playback plans present the relevant content to users. Playback plans take into account the users meeting attendance and viewing history and match them with features such as topic and speaker segmentation. A user study showed that participants found hyperlinks useful but did not always understand where the links would take them. Experiences from longer-term use and the study results provide a good basis for future system improvements.
international symposium on wearable computers | 2017
Scott Carter; Jennifer Marlow; Matthew Cooper
For tourists, interactions with digital public displays often depend on specific technologies that users may not be familiar with (QR codes, NFC, Bluetooth); may not have access to because of networking issues (SMS), may lack a required app (QR codes), or device technology (NFC); may not want to use because of time constraints (WiFi, Bluetooth); or may not want to use because they are worried about sharing their data with a third-party service (text, WiFi). In this demonstration, we introduce ItineraryScanner, a system that allows users to seamlessly share content with a public travel kiosk system.
human computer interaction with mobile devices and services | 2016
Scott Carter; Jennifer Marlow; Aki Komori; Ville Mäkelä
Most teleconferencing tools treat users in distributed meetings monolithically: all participants are meant to be interconnected in more-or-less the same manner. In practice, people connect to meetings in different contexts, sometimes sitting in front of a laptop or tablet giving their full attention, but at other times mobile and concurrently involved in other tasks or as a liminal participant in a larger group meeting. In this paper, we present the design and evaluation of two applications, MixMeetWear and MixMeetMate, to help users in non-standard contexts flexibly participate in meetings.
human factors in computing systems | 2018
Siwei Fu; Jian Zhao; Hao Fei Cheng; Haiyi Zhu; Jennifer Marlow
Understanding team communication and collaboration patterns is critical for improving work efficiency in organizations. This paper presents an interactive visualization system, T-Cal, that supports the analysis of conversation data from modern team messaging platforms (e.g., Slack). T-Cal employs a user-familiar visual interface, a calendar, to enable seamless multi-scale browsing of data from different perspectives. T-Cal also incorporates a number of analytical techniques for disentangling interleaving conversations, extracting keywords, and estimating sentiment. The design of T-Cal is based on an iterative user-centered design process including interview studies, requirements gathering, initial prototypes demonstration, and evaluation with domain users. The resulting two case studies indicate the effectiveness and usefulness of T-Cal in real-world applications, including daily conversations within an industry research lab and student group chats in a MOOC.
document engineering | 2018
Scott Carter; Laurent Denoue; Matthew Cooper; Jennifer Marlow
Historically, people have interacted with companies and institutions through telephone-based dialogue systems and paper-based forms. Now, these interactions are rapidly moving to web- and phone-based chat systems. While converting traditional telephone dialogues to chat is relatively straightforward, converting forms to conversational interfaces can be challenging. In this work, we introduce methods and interfaces to enable the conversion of PDF and web-based documents that solicit user input into chat-based dialogues. Document data is first extracted to associate fields and their textual descriptions using metadata and lightweight visual analysis. The field labels, their spatial layout, and associated text are further analyzed to group related fields into natural conversational units. These correspond to questions presented to users in chat interfaces to solicit information needed to complete the original documents and downstream processes they support. This user supplied data can be inserted into the source documents and/or in downstream databases. User studies of our tool show that it streamlines form-to-chat conversion and produces conversational dialogues of at least the same quality as a purely manual approach.
document engineering | 2017
Laurent Denoue; Scott Carter; Jennifer Marlow; Matthew Cooper
human factors in computing systems | 2017
Britta Meixner; Jennifer Marlow
conference on computer supported cooperative work | 2016
Ville Mäkelä; Scott Carter; Jennifer Marlow
acm conference on hypertext | 2016
Andreas Girgensohn; Jennifer Marlow; Frank M. Shipman; Lynn Wilcox