Work

On the Design of Quologue: Uncovering Opportunities and Challenges with Generative AI as a Resource for Creating a Self-Morphing E-book Metadata Archive

Year: 2024

Type: conference-paper

Abstract: People can highlight text on e-books via many devices and applications, generating metadata that precisely captures and stores passages of interest in their personal digital archives. Despite the rising popularity of e-books, little research in HCI has inquired into the potential of these digital traces as a design resource for creativity and self-reflection. In this paper, we present Quologue, a web application that allows users to reconnect with their e-book highlights through ongoing dialogue and interactions. We aim to reimagine e-book highlights as design materials for creative self-expression instead of static records of past interactions. Through a design-led approach that combines research through design and autobiographical design, we reflect on three design events revealed through our process that illustrate alternative ways of interacting with one's e-book metadata through first-hand manipulation shaped by generative AI. We conclude with implications for future HCI studies and practice.

Source: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)

DOI: 10.1145/3613905.3650909

Authors: Sol Kang, William Odom

Institution: Simon Fraser University

Language: English

Topic: Innovative Human-Technology Interaction

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: Mitacs, Natural Sciences and Engineering Research Council of Canada, Social Sciences and Humanities Research Council of Canada

Awards: Supporting Rich User Interactions with Digital Content in Everyday Life, G2343848468, G6425776047, G814497173