Supraja Sankaran

dblp:188/2845 · DBLP profile ↗
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5ranked-venue papers
3as first author
3since 2021 · last 2026
0000-0003-3301-6060ORCID · verified

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Human-computer interaction and ubiquitous computing · 5 · 3 first-author · 3 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021
YearPublicationVenuePosition
2026 Watt Impact? Making the Environmental Impact of Generative AI Tangible Through Participatory Data Physicalizations
abstract
The rapid adoption and use of generative AI tools, like ChatGPT, has led to an exponential increase in its environmental impact. However, most users are unaware of this impact. To investigate and raise public awareness of the impact, we designed ecoAIware, a set of five tangible participatory data physicalizations (PDPs) highlighting different environmental impacts of genAI. ecoAIware was deployed at a library and an academic conference, where visitors could interact with the PDPs by contributing tokens representing their awareness of the different impacts. In this pictorial, we present our findings on current awareness levels of visitors, their engagement with ecoAIware and how it contributed to raising their awareness. This pictorial contributes to (i) the discourse within HCI communities around the environmental impact of genAI and (ii) by showcasing how creative methods such as PDPs can be used to engage users with critical topics and collect data in the process.
Anniek Jansen, Supraja Sankaran, Emiel Krahmer
Creativity & Cognition2
2022 Role of Socially Assistive Robots in Reducing Anxiety and Preserving Autonomy in Children
abstract
Anxiety in children is gradually becoming a problem that needs to be addressed urgently. Socially Assistive Robots (SARs) have shown great potential in anxiety treatment among adults and elders. However, the application on childhood anxiety has scarcely been tested. Autonomy is also an influential factor of psychological therapy sessions in children. This study, using state anxiety as a kick-off point, aims to investigate the effectiveness of SARs and the role of autonomy in reducing children's anxiety by using Progressive Muscle Relaxation (PMR). Participants were 69 Chinese children aged from 10 to 12. We found that SARs significantly reduced state anxiety levels in all conditions. But no difference between each level of intervention and autonomy was found. Further research on various perspectives is suggested.
Chao Zhang 0071, Supraja Sankaran, Shaoya Ren
HRI3
2021 "It's like a puppet master": User Perceptions of Personal Autonomy when Interacting with Intelligent Technologies
abstract
Applications which use some form of artificial intelligence (AI) have become embedded in our everyday interactions. Very often, AI-based apps are personalized and modelled on users’ needs and preferences. However, such applications of AI tread a delicate balance between enhancing user experience and jeopardizing personal autonomy. Personal autonomy and sense of agency are crucial for human well-being and development. In this paper, we probe this fine balance aiming to capture users’ lived experiences and perceptions of interacting with AI-based apps. We present insights from a phenomenological study (N=15) regarding users’ perception of personal autonomy when interacting with AI in everyday contexts. We found that these experiences are transitory and largely influenced by contextual factors. Users experience a loss of autonomy when their privacy or identity is threatened or when their expectations are broken. To mitigate such loss of autonomy, mechanisms for providing intelligibility and control of AI are desired.
Supraja Sankaran, Panos Markopoulos 0001
UMAP1
2019 Enhancing Patient Motivation through Intelligibility in Cardiac Tele-rehabilitation
abstract
Abstract Physical exercise training and medication compliance are primary components of cardiac rehabilitation. When rehabilitating independently at home, patients often fail to comply with their prescribed medication and find it challenging to interpret exercise targets or be aware of the expected efforts. Our work aims to assist cardiac patients in understanding their condition better, promoting medication adherence and motivating them to achieve their exercise targets in a tele-rehabilitation setting. We introduce a patient-centric intelligible visualization approach to present prescribed medication and exercise targets to patients. We assessed efficacy of intelligible visualizations on patients’ comprehension in two lab studies. We evaluated the impact on patient motivation and health outcomes in field studies. Patients were able to adhere to medication prescriptions, manage their physical exercises, monitor their progress and gained better self-awareness on how they achieved their rehabilitation targets. Patients confirmed that the intelligible visualizations motivated them to achieve their targets better. We observed an improvement in overall physical activity levels and health outcomes of patients. Research Highlights Presents challenges currently faced in cardiac tele-rehabilitation. Demonstrates how intelligibility was applied to two core aspects of cardiac rehabilitation- promoting medication adherence and physical exercise training. Lab., field and clinical studies to demonstrate efficacy of intelligible visualization, impact on patient motivation and resultant health outcomes. Reflection on how similar HCI approaches could be leveraged for technology-supported management of critical health conditions such as cardiac diseases.
Supraja Sankaran, Kris Luyten, Dominique Hansen, Paul Dendale, Karin Coninx
Interact. Comput.1
2017 Coaching Compliance: A Tool for Personalized e-Coaching in Cardiac Rehabilitation
Supraja Sankaran, Mieke Haesen, Paul Dendale, Kris Luyten, Karin Coninx
INTERACT (4)1