Nokia

apartmentCompanybar_chart#236 Global Rank

Total Papers

HCI Rank

#236

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Recent Publications

Which is Warmer, the Cake or the Oven? Unlocking Thermal Conductivity for Virtual Reality Interaction

Thermal feedback has the potential to enrich immersive interaction, yet its role in material discrimination remains underexplored. We designed and evaluated a conductivity model that simulates transient heating and cooling profiles based on material properties of an object. Thirty-eight participants used a Meta Quest…

CHI '26AI-Assisted Decision-Making & Automation +2

Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning

Prior work has mapped which workplace tasks are exposed to AI, but less is known about whether workers perceive these tasks as meaningful or as busywork. We examined: (1) which dimensions of meaningful work do workers associate with tasks exposed to AI; and (2) how do the traits of existing AI systems compare to the t…

CHI '26Best PaperEmotion-Sensing Wearables +3

Stress Mindset Matters: Rethinking Mental Stress Detection with Multimodal Wearable Sensors

The mindset people have about stress is important to be studied because this core belief, that stress is either enhancing or debilitating, fundamentally alters a person’s physiological and psychological responses to stressors. However, this crucial construct is rarely considered in prior research on momentary stress d…

CHI '26Explainable AI (XAI) +4

Agent-Supported Foresight for AI Systemic Risks: AI Agents for Breadth, Experts for Judgment

AI impact assessments often stress near-term risks because human judgment degrades over longer horizons, exemplifying the Collingridge dilemma: foresight is most needed when knowledge is scarcest. To address long-term systemic risks, we introduce a scalable approach that simulates in-silico agents using the foresight…

CSCW '25Identifying and Mitigating AI Risks

Impact Assessment Card: Communicating Risks and Benefits of AI Uses

Communicating the risks and benefits of AI uses is crucial for regulatory compliance and increasing public awareness, but its effectiveness is currently limited to individuals with technical expertise and often presented in highly specialized impact assessment reports. Drawing upon the HCI and CSCW literature on makin…

CHI '25Explainable AI (XAI) +2

RiskRAG: A Data-Driven Solution for Improved AI Model Risk Reporting

Risk reporting is essential for documenting AI models, yet only 14% of model cards mention risks, out of which 96% copy content from a small set of cards, leading to a lack of actionable insights. Existing proposals for improving model cards do not resolve these issues. To address this, we introduce RiskRAG, a Retriev…

CHI '25AI Ethics, Fairness & Accountability +1

The Hall of AI Fears and Hopes: Comparing the Views of AI Influencers and those of Members of the U.S. Public Through an Interactive Platform

AI development is shaped by academics and industry leaders---let us call them ``influencers''---but it is unclear how their views align with those of the public. To address this gap, we developed an interactive platform that served as a data collection tool for exploring public views on AI, including their fears, hope…

CSCW '24Session 1g: Contextualizing Fairness in AI

RAI Guidelines: Method for Generating Responsible AI Guidelines Grounded in Regulations and Usable by (Non-)Technical Roles

Many guidelines for responsible AI have been suggested to help AI practitioners in the development of ethical and responsible AI systems. However, these guidelines are often neither grounded in regulation nor usable by different roles, from developers to decision makers. To bridge this gap, we developed a four-step me…

CSCW '24Session 3c: Evolving Approaches to Privacy

NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers

AI regulations are expected to prohibit machine learning models from using sensitive attributes during training. However, the latest Natural Language Processing (NLP) classifiers, which rely on deep learning, operate as black-box systems, complicating the detection and remediation of such misuse. Traditional bias miti…

UIST '24Eye Tracking & Gaze Interaction +2

EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning

From a visual-perception perspective, modern graphical user interfaces (GUIs) comprise a complex graphics-rich two-dimensional visuospatial arrangement of text, images, and interactive objects such as buttons and menus. While existing models can accurately predict regions and objects that are likely to attract attenti…

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https://hci.top/en/institutions/Nokia?source=all

At a Glance

Institution Snapshot

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Display Name

Nokia

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Location

Finland · Europe

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Overall Rank

#236

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Total Papers

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Active Years

2018-2026

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Network

21 researchers · 1 collaborators

Research Profile

Top Research Directions

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AI & Machine Learning Interaction

AI-Assisted Decision-Making & Automation

Research Methods & Design Practice

Participatory Design

Gesture, Body & Motion Interaction

Eye Tracking & Gaze Interaction

Virtual, Augmented & Mixed Reality (XR)

Immersion & Presence Research

Haptic, Force & Physical Feedback

Mid-Air Haptics (Ultrasonic)