Pegah Karimi

Indiana University – Purdue University Indianapolis | IUPUI · Department of Human Computer Interaction

Despite growing interest in accessible texting for people who are blind and visually impaired (BVI), little is known about the practice of texting when on the move, and especially while using assistive technologies. To address this gap, we conducted an interview-based study with 20 BVIs who text while travelling. Our fndings revealed that participa...

Texting relies on screen-centric prompts designed for sighted users, still posing significant barriers to people who are blind and visually impaired (BVI). Can we re-imagine texting untethered from a visual display? In an interview study, 20 BVI adults shared situations surrounding their texting practices, recurrent topics of conversations, and cha...

Older adults often rely on information provided during doctors’ visits or online to manage their health but can experience challenges accessing this information at home. Recently, conversational assistants are being explored to aid navigation of health information included in online portals, but we still know little about users’ perceptions of usin...

Recalling medical instructions provided during a doctor's visit can be difficult due to access barriers, primarily for older adults who visit doctors multiple times per year and rely on their memory to act on doctor's recommendations. There are several interventions that aid patients in recalling information after doctors' visits; however, some hav...

This paper presents a computational model for conceptual shifts, based on a novelty metric applied to a vector representation generated through deep learning. This model is integrated into a co-creative design system, which enables a partnership between an AI agent and a human designer interacting through a sketching canvas. The AI agent responds t...

This paper presents and evaluates a new method for inspiring creativity in a co-creative design system. The method uses a computational model of aconceptual shift based on clustering of deep features from a database of sketches. The co-creative sketching tool maps a user's sketch to a sketch of a distinct category that has high, medium, or low visu...

Sketching in design is typically a part of the ideation process. A common occurrence in sketching creativity is the conceptual shift, or when a drawn object is reinterpreted as belonging to a different object category.

Computational creative systems have the potential to augment the creative design process, particularly in co-creative contexts. We present a computational model for generating visual conceptual blends in the domain of sketching. Our system is motivated by the desire to encourage curiosity, facilitate creative ideation, and overcome design fixation....

This paper provides a framework for evaluating creativity in co-creative systems: those that involve computer programs collaborating with human users on creative tasks. We situate co-creative systems within a broader context of computational creativity and explain the unique qualities of these systems. We present four main questions that can guide...

We present a system for identifying conceptual shifts between visual categories, which will form the basis for a co-creative drawing system to help users draw more creative sketches. The system recognizes human sketches and matches them to structurally similar sketches from categories to which they do not belong. This would allow a co-creative draw...