Vanessa Aisyahsari Hanschke

dblp:372/3189 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Collaborative and social computing › online communities
communities of practice
1.012026
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
1.012026
Let's Make a Community [of Practice]: Using Community-Based Participatory Design to Support Interdependence · CHI 2026
Health and well-being technologies
dementia care
1.012026
Let's Make a Community [of Practice]: Using Community-Based Participatory Design to Support Interdependence · CHI 2026
Human-AI interaction
responsible AI
0.812024
Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams · CHI 2024
Design research and methods
participatory design
0.312026
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
YearPublicationVenuePosition
2026 Let's Make a Community [of Practice]: Using Community-Based Participatory Design to Support Interdependence
abstract
In 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
CHI4
2024 Data Ethics Emergency Drill: A Toolbox for Discussing Responsible AI for Industry Teams
abstract
Researchers 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
CHI1