論文アブストラクト： Sticky notes are ubiquitous in design processes because of their tangibility and ease of use. Yet, they have well-known limitations in professional design processes, as documentation and distribution are cumbersome at best. This paper compares the use of sticky notes in ideation with a remediated digital sticky notes setup. The paper contributes with a nuanced understanding of what happens when remediating a physical design tool into digital space, by emphasizing focus shifts and breakdowns caused by the technology, but also benefits and promises inherent in the digital media. Despite users' preference for creating physical notes, handling digital notes on boards was easier and the potential of proper documentation make the digital setup a possible alternative. While the analogy in our remediation supported a transfer of learned handling, the users' experiences across technological setups impact their use and understanding, yielding new concerns regarding cross-device transfer and collaboration.
論文アブストラクト： Computer-based conversational agents are becoming ubiquitous. However, for these systems to be engaging and valuable to the user, they must be able to express emotion, in addition to providing informative responses. Humans rely on much more than language during conversations; visual information is key to providing context. We present the first example of an image-grounded conversational agent using visual sentiment, facial expression and scene features. We show that key qualities of the generated dialogue can be manipulated by the features used for training the agent. We evaluate our model on a large and very challenging real-world dataset of conversations from social media (Twitter). The image-grounding leads to significantly more informative, emotional and specific responses, and the exact qualities can be tuned depending on the image features used. Furthermore, our model improves the objective quality of dialogue responses when evaluated on standard natural language metrics.
論文アブストラクト： Low-cost fabrication machines (e.g., 3D printers) offer the promise of creating custom-designed objects by a range of users. To maximize performance, generative design methods such as topology optimization can automatically optimize properties of a design based on high-level specifications. Though promising, such methods require people to map their design ideas--often unintuitively--to a small number of mathematical input parameters, and the relationship between those parameters and a generated design is often unclear, making it difficult to iterate a design. We present Forte, a sketch-based, real-time interactive tool for people to directly express and iterate on their designs via 2D topology optimization. Users can ask the system to add structures, provide a variation with better performance, or optimize internal material layouts. Users can globally control how much to 'deviate' from the initial sketch, or perform local suggestive editing, which interactively prompts the system to update based on the new information. Design sessions with 10 participants demonstrate that Forte empowers designers to create and explore a range of optimized designs with custom forms and styles.
論文アブストラクト： As a rule, user interface designers work iteratively. Over the course of a project, they repeatedly gather feedback, typically through in-person meetings, and update their designs accordingly. Through formative work, we find that design software tools do not support designers in managing meeting notes and previous design iterations as a cohesive whole. This causes designers to rely on ad-hoc practices for organizing work, which makes it hard for them to keep track of relevant feedback and explain their design decisions. To address this problem, we present Charrette, a system that allows designers to curate design iterations, attach meeting notes to the relevant content, and navigate sequences of design iterations with the associated notes to facilitate in-person discussions. In an exploratory user study, we evaluate how Charrette affects designers' self-reported ease in handling feedback during face-to-face discussions, compared with using their own tools. We find that using Charrette correlates with increased confidence and recall in discussing previous design decisions.