Johanna D. Moore
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Publications by Johanna D. Moore (bibliography)
» 2009 «
Hsueh, Pei-Yun and Moore, Johanna D. (2009): Improving meeting summarization by focusing on user needs: a task-oriented evaluation. In: Proceedings of the 2009 International Conference on Intelligent User Interfaces 2009. pp. 17-26. Available online
“Advances in multimedia technologies have enabled the creation of huge archives of audio-video recordings of meetings, and there is burgeoning interest in developing meeting browsers to help users better leverage these archives. A recent study has shown that extractive summaries provide a more efficient way of navigating meeting content than simply reading through the transcript and using the audio-video record, or navigating via keyword search (Murray, 2007). The extractive summary technique identifies informative dialogue acts to generate general purpose summaries. These summaries can still be lengthy. Recently, we have developed a decision-focused summarization system that presents only 1-2% of the recordings related to decision making. In this paper, we describe a task-based evaluation in which we compare the decision-focused summaries to the general purpose summaries. Our results indicate that the more focused summaries help users perform the decision debriefing task more effectively and improve perceived efficiency. In addition, this study also investigates the effect of automatic summaries and transcription on task effectiveness, report quality, and users' perceptions of task success.”
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» 2007 «
Hu, Jiang, Winterboer, Andi, Nass, Clifford, Moore, Johanna D. and Illowsky, Rebecca (2007): Context & usability testing: user-modeled information presentation in easy and difficult driving conditions. In: Proceedings of ACM CHI 2007 Conference on Human Factors in Computing Systems 2007. pp. 1343-1346. Available online
“A 2x2 enhanced Wizard-of-Oz experiment (N = 32) was conducted to compare two different approaches to presenting information to drivers in easy and difficult driving conditions. Data of driving safety, evaluation of the spoken dialogue system, and perception of self were analyzed. Results show that the user-modeled summarize-and-refine (UMSR) approach led to more efficient information retrieval than did the summarize-and-refine (SR) approach. However, depending on driving condition, higher efficiency did not always translate into pleasant subjective experience. Implications for usability testing and interface design were presented, followed by discussions of future research directions.”
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» 2004 «
Green, Nancy L., Carenini, Giuseppe, Kerpedjiev, Stephan, Mattis, Joe, Moore, Johanna D. and Roth, Steven F. (2004): AutoBrief: an experimental system for the automatic generation of briefings in integrated text and information graphics. In International Journal of Human-Computer Studies, 61 (1) pp. 32-70
“This paper describes AutoBrief, an experimental intelligent multimedia presentation system that generates presentations in text and information graphics in the domain of transportation scheduling. Acting as an intelligent assistant, AutoBrief creates a presentation to communicate its analysis of alternative schedules. In addition, the multimedia presentation facilitates data exploration through its complex information visualizations and support for direct manipulation of presentation elements. AutoBrief's research contributions include (1) a design enabling a new human-computer interaction style in which intelligent multimedia presentation objects (textual or graphic) can be used by the audience in direct manipulation operations for data exploration, (2) an application-independent approach to multimedia generation based on the representation of communicative goals suitable for both generation of text and of complex information graphics, and (3) an application-independent approach to intelligent graphic design based upon communicative goals. This retrospective overview paper, aimed at a multidisciplinary audience from the fields of human-computer interaction and natural language generation, presents AutoBrief's design and design rationale.”
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Walker, Marilyn A., Whittaker, Steve, Stent, Amanda, Maloor, Preetam, Moore, Johanna D., Johnston, Michael and Vasireddy, Gunaranjan (2004): Generation and evaluation of user tailored responses in multimodal dialogue. In Cognitive Science, 28 (5) pp. 811-840
» 2000 «
Eugenio, Barbara Di, Jordan, Pamela W., Thomason, Richmond H. and Moore, Johanna D. (2000): The Agreement Process: An Empirical Investigation of Human-Human Computer-Mediated Collaborative Dialogs. In International Journal of Human-Computer Studies, 53 (6) pp. 1017-1076
“In this paper, we investigate the empirical correlates of the agreement process. Informally, the agreement process is the dialog process by which collaborators achieve joint commitment on a joint action. We propose a specific instantiation of the agreement process, derived from our theoretical model, that integrates the IRMA framework for rational problem solving (Bratman, Israel & Pollack, 1988) with Clark's (1992, 1996) work on language as a collaborative activity; and from the characteristics of our task, a simple design problem (furnishing a two-room apartment) in which knowledge is equally distributed among agents, and needs to be shared. The main contribution of our paper is an empirical study of some of the components of the agreement process. We first discuss why we believe the findings from our corpus of computer-mediated dialogs are applicable to human-human collaborative dialogs in general. We then present our theoretical model, and apply it to make predictions about the components of the agreement process. We focus on how information is exchanged in order to arrive at a proposal, and on what constitutes a proposal and its acceptance/rejection. Our corpus study makes use of features of both the dialog and the domain reasoning situation, and led us to discover that the notion of commitment is more useful to model the agreement process than that of acceptance/rejection, as it more closely relates to the unfolding of negotiation.”
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» 1998 «
Kerpedjiev, Stephan M., Carenini, Giuseppe, Green, Nancy L., Moore, Johanna D. and Roth, Steven F. (1998): Saying It in Graphics: From Intentions to Visualizations. In: InfoVis 1998 - IEEE Symposium on Information Visualization 19-20 October, 1998, Research Triangle Park, NC, USA. pp. 97-101. Available online
» 1997 «
Moore, Johanna D., Edmonds, Ernest and Puerta, Angel R. (eds.) International Conference on Intelligent User Interfaces 1997 January 6-9, 1997, Orlando, Florida, USA.
Kerpedjiev, Stephan, Carenini, Giuseppe, Roth, Steven F. and Moore, Johanna D. (1997): Integrating Planning and Task-Based Design for Multimedia Presentation. In: Moore, Johanna D., Edmonds, Ernest and Puerta, Angel R. (eds.) International Conference on Intelligent User Interfaces 1997 January 6-9, 1997, Orlando, Florida, USA. pp. 145-152. Available online
“We claim that automatic multimedia presentation can be modeled by integrating two complementary approaches to automatic design: hierarchical planning to achieve communicative goals, and task-based graphic design. The interface between the two approaches is a domain and media independent layer of communicative goals and actions. A planning process decomposes domain-specific goals to domain-independent goals, which in turn are realized by media-specific techniques. One of these techniques is task-based graphic design. We apply our approach to presenting information from large data sets using natural language and information graphics.”
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» 1996 «
Moore, Johanna D. and Mittal, Vibhu O. (1996): Dynamically Generated Follow-up Questions. In IEEE Computer, 29 (7) pp. 75-86
» 1995 «
Mittal, Vibhu O. and Moore, Johanna D. (1995): Dynamic Generation of Follow Up Question Menus: Facilitating Interactive Natural Language Dialogues. In: Katz, Irvin R., Mack, Robert L., Marks, Linn, Rosson, Mary Beth and Nielsen, Jakob (eds.) Proceedings of the ACM CHI 95 Human Factors in Computing Systems Conference May 7-11, 1995, Denver, Colorado. pp. 90-97. Available online
“Most complex systems provide some form of help facilities. However, typically, such help facilities do not allow users to ask follow up questions or request further elaborations when they are not satisfied with the systems' initial offering. One approach to alleviating this problem is to present the user with a menu of possible follow up questions at every point. Limiting follow up information requests to choices in a menu has many advantages, but there are also a number of issues that must be dealt with in designing such a system. To dynamically generate useful embedded menus, the system must be able to, among other things, determine the context of the request, represent and reason about the explanations presented to the user, and limit the number of choices presented in the menu. This paper discusses such issues in the context of a patient education system that generates a natural language description in which the text is directly manipulable -- clicking on portions of the text causes the system to generate menus that can be used to request elaborations and further information.”
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» 1994 «
Lemaire, Benoit and Moore, Johanna D. (1994): An Improved Interface for Tutorial Dialogues: Browsing a Visual Dialogue History. In: Adelson, Beth, Dumais, Susan and Olson, Judith S. (eds.) Proceedings of the ACM CHI 94 Human Factors in Computing Systems Conference April 24-28, 1994, Boston, Massachusetts. pp. 16-22. Available online
“When participating in tutorial dialogues, human tutors freely refer to their own previous explanations. Explanation is an inherently incremental and interactive process. New information must be highlighted and related to what has already been presented. If user interfaces are to reap the benefits of natural language interaction, they must be endowed with the properties that make human natural language interaction so effective. This paper describes the design of a user interface that enables both the system and the user to refer to the past dialogue. The work is based on the notion that the dialogue history is a source of knowledge that can be manipulated like any other. In particular, we describe an interface that allows students to visualize the dialogue history on the screen, highlight its relevant parts and query and manipulate the dialogue history. We expect that these facilities will increase the effectiveness of the student learning of the tasks.”
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» 1993 «
Carenini, Giuseppe and Moore, Johanna D. (1993): Generating Explanations in Context. In: Gray, Wayne D., Hefley, William and Murray, Dianne (eds.) International Workshop on Intelligent User Interfaces 1993 January 4-7, 1993, Orlando, Florida, USA. pp. 175-182. Available online
“If user interfaces are to reap the benefits of natural language interaction, they must be endowed with the properties that make human natural language interaction so effective. Human-human explanation is an inherently incremental and interactive process. New information must be highlighted and related to what has already been presented. In this paper, we describe the explanation component of a medical information-giving system. We describe the architectural features that enable this component to generate subsequent explanations that take into account the context created by its prior utterances.”
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» 1989 «
Moore, Johanna D. (1989): Responding to "Huh?": Answering Vaguely Articulated Follow-Up Questions. In: Bice, Ken and Lewis, Clayton H. (eds.) Proceedings of the ACM CHI 89 Human Factors in Computing Systems Conference April 30 - June 4, 1989, Austin, Texas. pp. 91-96.
“Expert and advice-giving systems produce complex multi-sentential responses to user's queries. Results from analyses of novice/expert dialogues indicate that novices often do not understand an expert's response and rarely ask a well-formulated follow-up question. Thus systems must be able to provide further information in response to vaguely articulated questions. However, current systems cannot clarify misunderstood explanations or elaborate on previous explanations. In this paper we describe an approach to explanation generation that expands a system's explanatory capabilities and enables the production of clarifying or elaborating explanations in response to follow-up questions or indication that the explanation was not understood.”
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Mar 19th, 2010
Changes to this page (author)
11 Feb 2010: Enabled abstracts to be shown on Johanna D. Moore's author page.19 Jun 2009: Author was edited 02 Jun 2009: Author was edited
01 Jun 2009: Author was edited
01 Jun 2009: Author was edited
27 Jun 2007: Author was edited
19 Jun 2007: Author was edited
28 Apr 2003: Added the author to the bibliography
