As we aspire to bring bendable interfaces closer to mainstream use, we need to resolve practical issues such as the event model for bend input. This work takes steps towards understanding the bend events space for a simplified 1DOF (Degree of Freedom) device. We suggest that a rich set of informative bend events can elevate application development for bendable devices. In this work, we describe the current state of event models for bendable devices, our suggested refined model, and the steps we are taking toward implementing an event system.

Children participating in animatronic puppet show workshops are tasked with hands-on activities that exercise both creative and technical skills culminating in a unique learning experience. In this paper, we describe Set&Motion, an authoring tool that supports the creation of animatronic puppet shows. It supports capturing sound and describing the puppet's animation for any animatronic show. In addition, users can create more complex story flows and allow viewers to interact with the show using sensors embedded in the puppet or its surroundings. It promotes the use of a state diagram to describe non-linear storylines, and may be useful for Computer Science education.

Little is known about the challenges and successes people face when piecing together multiple social media to interact in the online public sphere when: seeking information, disseminating information, and engaging in political discussions. We interviewed 29 US citizens and conducted 17 talk-out-loud sessions with people who were using one or more social media technologies, such as Facebook and Twitter, to interact in the online public sphere. We identified a number of challenges and workarounds related to public sphere interactions, and used our findings to formulate requirements for new political environments that support the interactions in the public sphere. Through evolving requirements generation, we developed a new political deliberation technology, dubbed Poli, which is an integrated social media environment with the potential to enable more effective interactions in the public sphere. We discuss several remaining questions and limitations to our tool that will drive future work.

Little is known about why and how people use multiple social media platforms for political participation, or about the contexts through which social media is appropriated. This paper reports on a qualitative interview study of social media use by politically interested citizens. We interviewed 27 residents of the state of Hawaii who integrated one or more social media tools into their daily lives to participate in the online public sphere. Different social media environments offer both different affordances for action and different audiences, and we describe how media choice is driven by the match between motivations and affordances, and also by the imagined audience. We identified a number of motivations including understanding different viewpoints, formulating perspectives, engaging in positive discourse, repairing Hawaii's image, increasing political awareness and improving civic engagement. We discuss how these goals relate to both intrinsic and extrinsic motivations. Finally, we examine how social media choice and satisfaction were tied to the physical world context and people's sense of the audience within any particular medium.

An increasing number of people are using microblogs to broadcast their thoughts in real time as they watch televised political events. Microblogging social network sites (SNSs) such as Twitter generate a parallel stream of information and opinion. It is presumed that the additional content enhances the viewing experience, but our experiment explores the validity of this assumption. We studied how tweeting, or passively observing Twitter during a debate, influenced affect, recall and vote decision. For most measures, participants' average feeling and recall toward the candidates did not depend on Twitter activity, but Twitter activity did matter for vote choice. People who actively tweeted changed their voting choice to reflect the majority sentiment on Twitter. Results are discussed in terms of the possibility that active tweeting leads to greater engagement but that it may also make people more susceptible to social influence.

This paper reports on a qualitative study of social media use for political deliberation by 21 U.S. citizens. In observing people's interactions in the "sprawling public sphere" across multiple social media tools in both political and non-political spaces, we found that social media supported the interactional dimensions of deliberative democracy--the interaction with media and the interaction between people. People used multiple tools through which they: were serendipitously exposed to diverse political information, constructed diverse information feeds, disseminated diverse information, and engaged in respectful and reasoned political discussions with diverse audiences. When people's civic agency was inhibited when using a tool, they often adopted, or switched to, alternative media that could afford what they were trying to achieve. Contrary to the polarization perspective, we find that people were purposefully seeking diverse information and discussants. Some individuals altered their views as a result of the interactions they were having in the online public sphere.

Electronic voting support systems should not focus only on ballot casting and recording. Instead, a user-centered perspective should be adopted for the design of a system that supports information gathering, organizing and sharing, deliberation, decision making, and voting. Relevant social science literature on political decision making and voting is used to develop requirements. A design concept is presented that supports extended information browsing using combined filtering from ballot materials and voter profiles. The system supports information sharing and participation in electronic dialogues. Voters may interweave information browsing, annotation, contextualized discussion, and ballot markup over extended time periods.

In this panel, a group of practitioners and researchers in the area of online political organizing will present their own research in this area and discuss the relevance of online political organizing to the current political scene - including the U.S. general presidential election, which has just been completed. Panelists come from across the political spectrum and also represent views of the political process in countries other than the United States. What are the tools used in online political organizing? What role do each of these new tools bring to the campaign/election process? How effective have they proven in this election cycle? What is their utility outside the scope of the presidential election cycle? Are they merely "teaser" tools to get people in the door or do they have the potential to facilitate lasting political change in all political arenas large and small? In addition, electronic voting is a current open research area. What do systems need to take into account to assure voters' confidence that their votes are being collected and tallied correctly and securely? What information needs to be presented to the voter at the time of polling to ensure the most effective voting systems available? What do we know at this point and where are the future research areas that need scrutiny? Each panelist will present their current research related to this area and comment on the ways in which their findings add to the current body of knowledge. Particular attention will be paid to articulating research streams that currently need to be addressed and positing methods to address these open research questions.

Article Dual device user interface design: PDAs and interactive television Share on Authors: Scott Robertson Applied Research, US WEST, Advanced Technologies, 4001 Discovery, Dr.Boulder, CO Applied Research, US WEST, Advanced Technologies, 4001 Discovery, Dr.Boulder, COView Profile , Cathleen Wharton Applied Research US WEST, Advanced Technologies, 4001 Discovery, Dr.Boulder, CO Applied Research US WEST, Advanced Technologies, 4001 Discovery, Dr.Boulder, COView Profile , Catherine Ashworth Applied Research US WEST, Advanced Technologies, 4001 Discovery, Dr.Boulder, CO Applied Research US WEST, Advanced Technologies, 4001 Discovery, Dr.Boulder, COView Profile , Marita Franzke Applied Research US WEST, Advanced Technologies, 4001 Discovery, Dr.Boulder, CO Applied Research US WEST, Advanced Technologies, 4001 Discovery, Dr.Boulder, COView Profile Authors Info & Claims CHI '96: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsApril 1996 Pages 79–86https://doi.org/10.1145/238386.238408Online:13 April 1996Publication History 75citation2,454DownloadsMetricsTotal Citations75Total Downloads2,454Last 12 Months34Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

ODE: A SELF-GUIDED, SCENARIO-BASED LEARNING ENVIRONMENT FOR OBJECT-ORIENTED DESIGN PRINCIPLES Scott P. Robertson,* John M. Carroll,* Robert L. Mack, Mary Beth Rosson,* Sherman R. Alpert, Jurgen Koenemann-Belliveau” IBM Research T. J. Watson Research Center 30 Saw Mill River Road Hawthorne, NY 10532 Internet:

Program comprehension is a complex problem solving process. We report on an experiment that studies expert programmers’ comprehension behavior in the context of modifying a complex PASCAL program. Our data suggests that program comprehension is best understood as a goal– oriented, hypotheses-driven problem–solving process. Programmers follow a pragmatic as-needed rather than a systematic strategy, they restrict their understanding to those parts of a program they find relevant for a given task, and they use bottom-up comprehension only for directly relevant code and in cases of missing, insufficient, or failing hypotheses. These findings have important consequences for the design of cognitively adequate computer–aided software engineering tools.

The first step in program modification is comprehension. Several researchers argue that programmers utilize plan-based representations when composing or comprehending code. In this study we tested the psychological validity of this proposal and examined the nature of plan-based program representations. Experienced programmers were asked to segment code and sort programs. The segmenting data showed that programmers agree on the major components of a program and that these components are defined by goals in a plan representation. Pascal and FORTRAN programs that employ the same plan structure were segmented into similar components. Program sorting data also showed clustering into plan groups. However task related dimensions are also important parts of program representations.

When people learn such a complex skill as computer text editing, they are learning a set of goals and the plans for accomplishing those goals. In this experiment we examined the structure and development of simple text-editing goals and plans. Long interkeystroke times were found to be associated with plan boundaries. The longest times were found between keystrokes separating superordinate goals, whereas less significant time increases appeared between keystrokes at subgoal boundaries. Changes in the patterns of interkeystroke times showed plan restructuring with experience.

Studies of people learning to use contemporary word-processing equipment suggest that effective learning is often "active," proceeding by self-initiated problem solving. The instructional manuals that accompany current word-processing systems often penalize and impede active learning. A set of instructional materials was constructed for a commercial word processor, specifically designed to support and encourage an active learning orientation. These "guided exploration (GE) materials are modular, task oriented, procedurally incomplete, and address error recognition and recovery. Learners using the GE materials spent substantially less time yet still performed better on a transfer of learning posttest than learners using commercially developed self-study materials. Qualitative analysis of aspects of the learning protocols of participants suggested that active learning mechanisms may underlie this advantage.

The organization of text editing behavior can be characterized by graph structures containing goals, subgoals, goal outcomes, and actions. Here we propose a model to represent the goals and plans of text editor users based on goal-fate analysis (Schank & Abelson, 1977). The representation captures relationships between a user's multiple goals and shows how errors can result from badly formed plans. We discuss some data from a psychological experiment which supports the hypothesis that text editing behavior is chunked into distinct plan units. The cognitive components of pause times between keystrokes were revealed by statistically removing the physical time required between keystrokes. Finally, we suggest how a system which builds goal-fate graphs from keystroke input might be useful in providing specific help information that is keyed to a user's intentions.