Demo Data from VLDB 2026 / reviewers in the wild / expert
Liam Albright
dblp:264/7565
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-5067-1019ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
2 papers |
Health and well-being technologies · 53% Human-AI interaction · 32% Collaborative and social computing · 16% | |
| Network and information security
1 paper |
Privacy and data protection · 100% |
Topics — the 3 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Health and well-being technologies › long-term care
home care |
0.7 | 1 | 2023 | "This machine is for the aides": Tailoring Voice Assistant Design to Home Health Care Work · CHI 2023 |
Human-AI interaction › voice assistants
voice assistant design |
0.7 | 1 | 2023 | "This machine is for the aides": Tailoring Voice Assistant Design to Home Health Care Work · CHI 2023 |
Collaborative and social computing
cooperative work |
0.2 | 1 | 2023 | "This machine is for the aides": Tailoring Voice Assistant Design to Home Health Care Work · CHI 2023 |
Methods — techniques the papers use, named apart from their topics
lab study · 1.3design critique · 1.3personal narratives · 0.4empirical analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | "This machine is for the aides": Tailoring Voice Assistant Design to Home Health Care WorkabstractThis paper explores how the design of interactive voice assistants (IVAs) might be tailored to support home health aides’ important work in complex home care contexts. We designed two custom IVAs: one that looks like an aide’s medical kit and one that blends into the home environment. We also designed a voice-based application that provides aides with guidance for day-to-day tasks and for performing a medical assessment. Via a lab-based study with 25 aides and seven patients, we explore how tailoring the IVAs’ design to home health care might impact its acceptability as a work device, enabling cooperative work among aides and clients, while potentially causing conflict that will require IVA designers to decide whose values to prioritize. We also highlight limits in aides’ power to control IVAs in clients’ homes. Finally, we discuss implications for designing privacy-preserving IVAs, including leveraging IVAs’ physical design to enact privacy mechanisms and opportunities to build ‘always on’ IVAs for privacy-sensitive contexts like home health care. Vince Bartle, Liam Albright, Nicola Dell |
CHI | 2 |
| 2020 | Being (In)Visible: Privacy, Transparency, and Disclosure in the Self-Management of Bipolar DisorderabstractResearch in personal informatics (PI) calls for systems to sup- port social forms of tracking, raising questions about how privacy can and should support intentionally sharing sensitive health information. We focus on the case of personal data related to the self-tracking of bipolar disorder (BD) in order to explore the ways in which disclosure activities intersect with other privacy experiences. While research in HCI of- ten discusses privacy as a disclosure activity, this does not reflect the ways in which privacy can be passively experienced. In this paper we broaden conceptions of privacy by defining transparency experiences and contributing factors in contrast to disclosure activities and preferences. Next, we ground this theoretical move in empirical analysis of personal narratives shared by people managing BD. We discuss the resulting emer- gent model of transparency in terms of implications for the design of socially-enabled PI systems. CAUTION: This paper contains references to experiences of mental illness, including self-harm, depression, suicidal ideation, etc. Justin Petelka, Lucy Van Kleunen, Liam Albright, Elizabeth L. Murnane, Stephen Voida, Jaime Snyder |
CHI | 3 |