Supporting shape reinterpretation with eye tracking

It has been argued that reinterpretation is an essential process in design generation and idea exploration. However, computational design tools, such as computer-aided design systems, offer poor support for shape reinterpretation, and as such are not well suited to ideation in conceptual design. One of the key difficulties in implementing computational systems that support shape reinterpretation is the issue of interface – how can a user intuitively guide a system with respect to their interpretation of a designed shape? In this paper, a software prototype is presented that uses an eye tracking interface to support reinterpretation of shapes according to recognised subshapes. The prototype is based on eye tracking studies, and uses gaze data and user input to restructure designed shapes so that they afford manipulation according to users’ interpretations

Self-Tracking and Gamification: Analyzing the Interplay of Motivations, Usage and Motivation Fulfillment

The usage of wearable self-tracking devices has emerged as a big trend in lifestyle and personal optimization concerning health, fitness, and well-being. In this context, gamification elements have the potential to contribute to achieving desired user behavior. However, it is not fully understood to which extent the users perceive their self-tracking motivations as being fulfilled through the usage of a wearable self-tracking device, and how gamification affects the interplay of self-tracking motivations, wearable self-tracking device usage, and motivation fulfillment. To address this research gap, we develop a conceptual model and validate it with survey research and structural equation modeling. We find that self-tracking helps users to unexpectedly fulfill motivations without previously striving for them and that significant differences exist between the gamification users and non-users with respect to their motivations by self-entertainment and self-design

An Approach to Conceptual Schema Evolution

In this work we will analyse conceptual foundations of user centric content management. Content management often involves integration of content that was created from different points of view. Current modeling techniques and especially current systems lack of a sufficient support of handling these situations. Although schema integration is undecideable in general, we will introduce a conceptual model together with a modeling and maintenance methodology that simplifies content integration in many practical situations. We will define a conceptual model based on the Higher-Order Entity Relationship Model that combines advantages of schema oriented modeling techniques like ER modeling with element driven paradims like approaches for semistructured data management. This model is ready to support contextual reasoning based on local model semantics. For the special case of schema evolution based on schema versioning we will derive the compatibility relation between local models by tracking dependencies of schema revisions. Additionally, we will discuss implementational facets, such as storage aspects for structurally flexible content or generation of adaptive user interfaces based on a conceptual interaction model

I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application

Mobile health applications that track activities, such as exercise, sleep, and diet, are becoming widely used. While these activity tracking applications have the potential to improve our health, user engagement and retention are critical factors for their success. However, long-term user engagement patterns in real-world activity tracking applications are not yet well understood. Here we study user engagement patterns within a mobile physical activity tracking application consisting of 115 million logged activities taken by over a million users over 31 months. Specifically, we show that over 75% of users return and re-engage with the application after prolonged periods of inactivity, no matter the duration of the inactivity. We find a surprising result that the re-engagement usage patterns resemble those of the start of the initial engagement period, rather than being a simple continuation of the end of the initial engagement period. This evidence points to a conceptual model of multiple lives of user engagement, extending the prevalent single life view of user activity. We demonstrate that these multiple lives occur because the users have a variety of different primary intents or goals for using the app. We find evidence for users being more likely to stop using the app once they achieved their primary intent or goal (e.g., weight loss). However, these users might return once their original intent resurfaces (e.g., wanting to lose newly gained weight). Based on insights developed in this work, including a marker of improved primary intent performance, our prediction models achieve 71% ROC AUC. Overall, our research has implications for modeling user re-engagement in health activity tracking applications and has consequences for how notifications, recommendations as well as gamification can be used to increase engagement

A Graphical Conceptual Model for Conventional and Time-varying JSON Data

Today, although there is an increasing interest in temporal JSON instance documents, since they allow tracking data changes, recovering past data versions, and executing temporal queries, there is no support (data model, modelling language, method, or tool) for conceptual modelling of temporal JSON data. Moreover, even though there are some graphical editors to build JSON Schemata (like JSON Schema Editor of Altova), they do not provide any built-in support for modelling temporal aspects of JSON data. Therefore, designers of JSON-based NoSQL data stores are proceeding in an ad hoc manner when they have to model some temporal requirements. To fill this theoretical and practical gap, we propose in this paper a graphical conceptual model for time-varying JSON data, named Temporal JSON Conceptual Model (TempoJCM). To this purpose, first we define a graphical conceptual model for conventional (i.e., non temporal) JSON data, called JSON Conceptual Model (JCM), and then we extend it to support modelling of temporal aspects of JSON data. TempoJCM facilitates conceptual modelling of both conventional and temporal JSON data, in a graphical and user-friendly manner. An editor supporting TempoJCM is planned to become the user interface for temporal JSON schema design in the tauJSchema framework

A Graphical Conceptual Model for Conventional and Time-varying JSON Data

Abstract Today, although there is an increasing interest in temporal JSON instance documents, since they allow tracking data changes, recovering past data versions, and executing temporal queries, there is no support (data model, modelling language, method, or tool) for conceptual modelling of temporal JSON data. Moreover, even though there are some graphical editors to build JSON Schemata (like JSON Schema Editor of Altova), they do not provide any built-in support for modelling temporal aspects of JSON data. Therefore, designers of JSON-based NoSQL data stores are proceeding in an ad hoc manner when they have to model some temporal requirements. To fill this theoretical and practical gap, we propose in this paper a graphical conceptual model for time-varying JSON data, named Temporal JSON Conceptual Model (TempoJCM). To this purpose, first we define a graphical conceptual model for conventional (i.e., non temporal) JSON data, called JSON Conceptual Model (JCM), and then we extend it to support modelling of temporal aspects of JSON data. TempoJCM facilitates conceptual modelling of both conventional and temporal JSON data, in a graphical and user-friendly manner. An editor supporting TempoJCM is planned to become the user interface for temporal JSON schema design in the τJSchema framework

A unified approach for composite cost reporting and prediction in the ACT program

The Structures Technology Program Office (STPO) at NASA Langley Research Center has held two workshops with representatives from the commercial airframe companies to establish a plan for development of a standard cost reporting format and a cost prediction tool for conceptual and preliminary designers. This paper reviews the findings of the workshop representatives with a plan for implementation of their recommendations. The recommendations of the cost tracking and reporting committee will be implemented by reinstituting the collection of composite part fabrication data in a format similar to the DoD/NASA Structural Composites Fabrication Guide. The process of data collection will be automated by taking advantage of current technology with user friendly computer interfaces and electronic data transmission. Development of a conceptual and preliminary designers' cost prediction model will be initiated. The model will provide a technically sound method for evaluating the relative cost of different composite structural designs, fabrication processes, and assembly methods that can be compared to equivalent metallic parts or assemblies. The feasibility of developing cost prediction software in a modular form for interfacing with state of the art preliminary design tools and computer aided design (CAD) programs is assessed

A Conceptual Framework for Motion Based Music Applications

Imaginary projections are the core of the framework for motion based music applications presented in this paper. Their design depends on the space covered by the motion tracking device, but also on the musical feature involved in the application. They can be considered a very powerful tool because they allow not only to project in the virtual environment the image of a traditional acoustic instrument, but also to express any spatially defined abstract concept. The system pipeline starts from the musical content and, through a geometrical interpretation, arrives to its projection in the physical space. Three case studies involving different motion tracking devices and different musical concepts will be analyzed. The three examined applications have been programmed and already tested by the authors. They aim respectively at musical expressive interaction (Disembodied Voices), tonal music knowledge (Harmonic Walk) and XX century music composition (Hand Composer)

Locational wireless and social media-based surveillance

The number of smartphones and tablets as well as the volume of traffic generated by these devices has been growing constantly over the past decade and this growth is predicted to continue at an increasing rate over the next five years. Numerous native features built into contemporary smart devices enable highly accurate digital fingerprinting techniques. Furthermore, software developers have been taking advantage of locational capabilities of these devices by building applications and social media services that enable convenient sharing of information tied to geographical locations. Mass online sharing resulted in a large volume of locational and personal data being publicly available for extraction. A number of researchers have used this opportunity to design and build tools for a variety of uses – both respectable and nefarious. Furthermore, due to the peculiarities of the IEEE 802.11 specification, wireless-enabled smart devices disclose a number of attributes, which can be observed via passive monitoring. These attributes coupled with the information that can be extracted using social media APIs present an opportunity for research into locational surveillance, device fingerprinting and device user identification techniques. This paper presents an in-progress research study and details the findings to date