arXiv subjects

Christopher Perdriau

Publications and source records attributed to Christopher Perdriau.

4 recordsLinked to original sources

arXiv2024

LLM-Powered AI Tutors with Personas for d/Deaf and Hard-of-Hearing Online Learners

Intelligent tutoring systems (ITS) using artificial intelligence (AI) technology have shown promise in supporting learners with diverse abilities. Large language models (LLMs) provide new opportunities to incorporate personas to AI-based tutors and support dynamic interactive dialogue. This paper explores how DHH learners interact with LLM-powered AI tutors with different experiences in DHH education as personas to identify their accessibility preferences. A user study with 16 DHH participants showed that they asked DHH-related questions based on background information and evaluated the AI tutors' cultural knowledge of the DHH communities in their responses. Participants suggested providing more transparency in each AI tutor's position within the DHH community. Participants also pointed out the lack of support in the multimodality of sign language in current LLMs. We discuss design implications to support the diverse needs in interaction between DHH users and the LLMs, such as offering supports in tuning language styles of LLMs.

cs.HC↗

arXiv2021

Toward an Actionable Socioeconomic-Aware HCI

Although inequities for individuals in different socioeconomic situations are starting to capture widespread attention, less attention has been given to the socioeconomic inequities that saturate socioeconomic-diverse individuals' user experiences. To enable HCI practitioners to attend to such inequities and avoid unwittingly introducing them, in this paper we consider a wide body of research relevant to how an individual's socioeconomic status (SES) can affect their user experiences with technology. We synthesize this foundational research to produce a core set of 6 evidence-based SES "facets" (attribute types and value ranges) that directly relate to user experiences for individuals in different SES strata. We then harness these SES facets to produce actionable paths forward -- including a new structured method we call SocioeconomicMag -- by which HCI researchers and practitioners can bring new socioeconomic-aware practices into their everyday HCI work.

cs.HC↗

arXiv2019

Engineering Gender-Inclusivity into Software: Tales from the Trenches

Although the need for gender-inclusivity in software itself is gaining attention among both SE researchers and SE practitioners, and methods have been published to help, little has been reported on how to make such methods work in real-world settings. For example, how do busy software practitioners use such methods in low-cost ways? How do they endeavor to maximize benefits from using them? How do they avoid the controversies that can arise in talking about gender? To find out how teams were handling these and similar questions, we turned to 10 real-world software teams. We present these teams experiences "in the trenches," in the form of 12 practices and 3 potential pitfalls, so as to provide their insights to other real-world software teams trying to engineer gender-inclusivity into their software products.

cs.SE↗

arXiv2019

Fixing Inclusivity Bugs for Information Processing Styles and Learning Styles

Most software systems today do not support cognitive diversity. Further, because of differences in problem-solving styles that cluster by gender, software that poorly supports cognitive diversity can also embed gender biases. To help software professionals fix gender bias "bugs" related to people's problem-solving styles for information processing and learning of new software we collected inclusivity fixes from three sources. The first two are empirical studies we conducted: a heuristics-driven user study and a field research industry study. The third is data that we obtained about a before/after user study of inclusivity bugs. The resulting seven potential inclusivity fixes show how to debug software to be more inclusive for diverse problem-solving styles.

cs.HC↗