arXiv subjects

Abrar Fallatah

Publications and source records attributed to Abrar Fallatah.

4 recordsLinked to original sources

arXiv2023

SocioEconomicMag Meets a Platform for SES-Diverse College Students: A Case Study

Emerging research shows that individual differences in how people use technology sometimes cluster by socioeconomic status (SES) and that when technology is not socioeconomically inclusive, low-SES individuals may abandon it. To understand how to improve technology's SES-inclusivity, we present a multi-phase case study on SocioEconomicMag (SESMag), an emerging inspection method for socio+economic inclusivity. In our 16-month case study, a software team developing a learning management platform used SESMag to evaluate and then to improve their platform's SES-inclusivity. The results showed that (1) the practitioners identified SES-inclusivity bugs in 76% of the features they evaluated; (2) these inclusivity bugs actually arise among low-SES college students; and (3) the SESMag process pointed ways towards fixing these bugs. Finally, (4) a user study with SES-diverse college students showed that the platform's SES-inclusivity eradicated 45-54% of the bugs; for some types of bugs, the bug instance eradication rate was 80% or higher.

cs.HC↗

arXiv2022

How to Debug Inclusivity Bugs? A Debugging Process with Information Architecture

Although some previous research has found ways to find inclusivity bugs (biases in software that introduce inequities), little attention has been paid to how to go about fixing such bugs. Without a process to move from finding to fixing, acting upon such findings is an ad-hoc activity, at the mercy of the skills of each individual developer. To address this gap, we created Why/Where/Fix, a systematic inclusivity debugging process whose inclusivity fault localization harnesses Information Architecture(IA) -- the way user-facing information is organized, structured and labeled. We then conducted a multi-stage qualitative empirical evaluation of the effectiveness of Why/Where/Fix, using an Open Source Software (OSS) project's infrastructure as our setting. In our study, the OSS project team used the Why/Where/Fix process to find inclusivity bugs, localize the IA faults behind them, and then fix the IA to remove the inclusivity bugs they had found. Our results showed that using Why/Where/Fix reduced the number of inclusivity bugs that OSS newcomer participants experienced by 90%.

cs.SE↗

arXiv2022

Intersectionality Goes Analytical: Taming Combinatorial Explosion Through Type Abstraction

HCI researchers' and practitioners' awareness of intersectionality has been expanding, producing knowledge, recommendations, and prototypes for supporting intersectional populations. However, doing intersectional HCI work is uniquely expensive: it leads to a combinatorial explosion of empirical work (expense 1), and little of the work on one intersectional population can be leveraged to serve another (expense 2). In this paper, we explain how representations employed by certain analytical design methods correspond to type abstractions, and use that correspondence to identify a (de)compositional model in which a population's diverse identity properties can be joined and split. We formally prove the model's correctness, and show how it enables HCI designers to harness existing analytical HCI methods for use on new intersectional populations of interest. We illustrate through four design use-cases, how the model can reduce the amount of expense 1 and enable designers to leverage prior work to new intersectional populations, addressing expense 2.

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↗