EDBT 2026 Demo / reviewers in the wild / expert
Vanessa Aisyahsari Hanschke
dblp:372/3189
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0003-3688-0372ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-author · 2 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 |
Collaborative and social computing · 47% Health and well-being technologies · 23% Human-AI interaction · 23% |
Topics — the 5 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › online communities
communities of practice |
1.0 | 1 | 2026 | Let's Make a Community [of Practice]: Using Community-Based Participatory Design to Support Interdependence · CHI 2026 |
Collaborative and social computing › collaborative design
community-based participatory design |
1.0 | 1 | 2026 | Let's Make a Community [of Practice]: Using Community-Based Participatory Design to Support Interdependence · CHI 2026 |
Health and well-being technologies
dementia care |
1.0 | 1 | 2026 | Let's Make a Community [of Practice]: Using Community-Based Participatory Design to Support Interdependence · CHI 2026 |
Human-AI interaction
responsible AI |
0.8 | 1 | 2024 | Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams · CHI 2024 |
Design research and methods
participatory design |
0.3 | 1 | 2026 | Let's Make a Community [of Practice]: Using Community-Based Participatory Design to Support Interdependence · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
thematic analysis · 1.0participatory design · 1.0role play · 0.8design study · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Let's Make a Community [of Practice]: Using Community-Based Participatory Design to Support InterdependenceabstractIn line with the shift toward dementia-friendly communities, HCI research is increasingly exploring holistic ways to support people living with dementia as active community members. However, less is known about how existing community networks influence technology design and effectiveness. This paper analyses Community-Based Participatory Design (CBPD) workshops conducted with individuals living with dementia, their spouses, and program coordinators through Wenger’s Communities of Practice Framework. We demonstrate how participants’ interactions created a community of practice through their: engagement in creating mutual meaning, alignment around a common purpose, and imagination in envisioning new possibilities for inclusion. Our findings highlight the agency of participants as they worked to create inclusive experiences for themselves and others. Our findings additionally demonstrated how community boundaries create systemic barriers that lead to non-participation. We argue Wenger’s framework offers a roadmap for designing technologies that foster person-to-person interdependence, helping to build more genuinely inclusive communities. Elaine Czech, Dan Bennett, Grace Jane Stangroome, Vanessa Aisyahsari Hanschke, Amy Ingold, Paul Marshall, Oussama Metatla |
CHI | 4 |
| 2024 | Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry TeamsabstractResearchers urge technology practitioners such as data scientists to consider the impacts and ethical implications of algorithmic decisions. However, unlike programming, statistics, and data management, discussion of ethical implications is rarely included in standard data science training. To begin to address this gap, we designed and tested a toolbox called the data ethics emergency drill (DEED) to help data science teams discuss and reflect on the ethical implications of their work. The DEED is a roleplay of a fictional ethical emergency scenario that is contextually situated in the team’s specific workplace and applications. This paper outlines the DEED toolbox and describes three studies carried out with two different data science teams that iteratively shaped its design. Our findings show that practitioners can apply lessons learnt from the roleplay to real-life situations, and how the DEED opened up conversations around ethics and values. Vanessa Aisyahsari Hanschke, Dylan Rees, Merve Alanyali, David Hopkinson, Paul Marshall |
CHI | 1 |