Aditi Maheshwari

dblp:279/2130 · DBLP profile ↗
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7ranked-venue papers
2as first author
6since 2021 · last 2025
0000-0001-9828-0570ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 6 · 1 first-author · 6 since 2021Artificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-authorTheory of computation · 1 · 1 first-author
YearPublicationVenuePosition
2025 Advancing HCI with Neuromorphic Technology: Guidelines for Designing User-Friendly Developer Tools for Neuromorphic Development
Divesh Upreti, Aditi Maheshwari, Taylor Tabb, Ioannis Polykretis, Eric M. Gallo, Kenneth Michael Stewart, Thomas D. LaToza, Andreea Danielescu 0001
CHI2
2023 Functional Destruction: Utilizing Sustainable Materials' Physical Transiency for Electronics Applications
abstract
Today’s electronics are manufactured to provide stable functionality and fixed physical forms optimized for reliable operation over long periods and repeated use. However, even when applications don’t call for such robustness, the permanency of these electronics comes with environmental consequences. In this paper, we describe an alternative approach that utilizes sustainable transient electronics whose method of destruction is also key to their functionality. We create these electronics through three different methods: 1) by inkjet printing conductive silver traces on poly(vinyl alcohol) (PVA) substrates to create water-soluble sensors; 2) by mixing a conductive beeswax material configured as a meltable sensor; and 3) by fabricating edible electronics with 3D printed chocolate and culinary gold leaf. To enable practical applications of these devices, we implement a fully transient and sustainable chipless RF detection system.
Tingyu Cheng, Taylor Tabb, Jung Wook Park, Eric M. Gallo, Aditi Maheshwari, Gregory D. Abowd, HyunJoo Oh 0001, Andreea Danielescu 0001
CHI5
2022 Patterns and Opportunities for the Design of Human-Plant Interaction
abstract
The emergence of living organisms as entities in HCI presents an opportunity to collaborate with other beings through technology, align interspecies motives, and nurture greater empathy for the non-human. Plants are particularly interesting because of their natural ability to sense and respond to environmental stimuli and potential to enable more sustainable interaction design. However, due to the cross-disciplinary and emerging nature of this space, there is a need to identify overarching patterns and discern opportunities for unifying future research. This paper aims to systematically analyze existing Human-Plant Interaction (HPI) works by presenting a survey of projects across HCI, art/design, architecture, and bioengineering. We identify core design paradigms along the dimensions of HPI System Architecture, Plant I/O Coupling, Plant Interfacing and Manipulation Techniques, Application Context, and Scale. From these themes, we assemble a framework for HCI practitioners to approach HPI, and discuss opportunities and open questions for future exploration.
Michelle Chang, Chenyi Shen, Aditi Maheshwari, Andreea Danielescu 0001, Lining Yao
Conference on Designing Interactive Systems3
2022 Designing Tools and Interfaces for Ecological Restoration: An Investigation into the Opportunities and Constraints for Technological Interventions
abstract
As interest within the HCI community expands beyond urban settings, novel tools and devices are being developed to support more sustainable interactions with natural environments and inform conservation action. Yet little is known about the users of these devices, and how their requirements and priorities might affect the usability or operationalization of the devices in the real world. Using the ‘e-seed’, a biomimetic self-drilling interface as a ‘research probe’, we conducted a qualitative user study with 14 subject matter experts in areas like forestry and agriculture to understand the value and limits for devices and systems in ecological restoration and monitoring. We highlight unique challenges in existing ecological practices, opportunities for technological interventions, and the policies and economic constraints affecting the feasibility of such interventions. We present a set of critical design considerations for building and deploying novel devices in natural and semi-natural ecosystems and discuss implications for future research.
Aditi Maheshwari, Abhay Kumar Aggarwal, Andreea Danielescu 0001
CHI1
2022 Towards Decomposable Interactive Systems: Design of a Backyard-Degradable Wireless Heating Interface
abstract
Sustainability is critical to our planet and thus our designs. Within HCI, there is a tension between the desire to create interactive electronic systems and sustainability. In this paper, we present the design of an interactive system comprising components that are entirely decomposable. We leverage the inherent material properties of natural materials, such as paper, leaf skeletons, and chitosan, along with silver nanowires to create a new system capable of being electrically controlled as a portable heater. This new decomposable system, capable of wirelessly heating to >70°C, is flexible, lightweight, low-cost, and reusable, and it maintains its functionality over long periods of heating and multiple power cycles. We detail its design and present a series of use cases, from enabling a novel resealable packaging system to acting as a catalyst for shape-changing designs and beyond. Finally, we highlight the important decomposable property of the interactive system when it meets end-of-life.
Katherine W. Song, Aditi Maheshwari, Eric M. Gallo, Andreea Danielescu 0001, Eric Paulos
CHI2
2021 Self-deStaining Textiles: Designing Interactive Systems with Fabric, Stains and Light
abstract
This work introduces “destaining” as an interactive component for the HCI community. While staining happens unintentionally (e.g., spilling coffee), destaining can be used as an intentional design tool that selectively degrades stains on textiles. We explore the design space using silver doped titanium dioxide (TiO2/Ag), stains and light as a set of design primitives for interactive systems. We then developed replicable and accessible fabrication and testing methods that enable HCI researchers and designers to upgrade various fabrics to self-destaining textiles. Next, we demonstrate a Self-deStaining textile interface with embedded Light Emitting Diodes (LEDs) and moisture sensors that activate cleaning. Lastly, we showcase how the textile can be used in everyday objects such as self-cleaning clothes, a patterning station for phone cases, and accessories that change patterns and colors based on the user’s experiences.
Fiona Bell, Alice Hong, Andreea Danielescu 0001, Aditi Maheshwari, Ben Greenspan, Hiroshi Ishii 0001, Laura Devendorf, Mirela Alistar
CHI4
2020 Automating and Analyzing Whole-Farm Carbon Models
abstract
A whole farm carbon model estimates the emissions of greenhouse gasses (GHGs) based on information for a farm. We analyzed two models, Holos whole-farm and COMET-Farm, by running the models on random inputs and building predictive models from the runs. Holos estimates GHG emissions for a particular year based on crop and animal agriculture input, while COMET-farm adds past and future farm management practices. Users of the models must manually enter farm data through a graphical user interface (GUI), which is a good method for a single farm, but makes it infeasible to calculate GHG emissions over hundreds to thousands of farms. So we automated the interface and generated random farm scenarios within ranges given by experts. We scraped the estimated carbon footprint from thousands of runs of the models and used algorithms to build predictive models that have high accuracy. By reverse engineering the whole-farm carbon models we were able to determine which farm management practices in each whole farm carbon model have the biggest impact on GHG emissions. This can help farmers and rural planners change farm management practices to decrease GHG emissions.
Aditi Maheshwari, Curtis E. Dyreson, Jennifer Reeve, Vishal Sharma 0005, Anthony Whaley
DSAA1