All

Papers

Browse and search HCI research papers from All

Active Filters

Institution: Inria

119 results

TFTune: Creation and Personalization of Pointing Transfer Functions Using Reinforcement Learning

Pointing transfer functions define the mapping between input devices and onscreen cursor movement. Despite being used by millions daily, only marginal improvements in pointing performance have been achieved by tuning transfer functions since the introduction of acceleration-based gains. We present TFTune, a reinforcem…

Ethan Eddy et al.University of New Brunswick

DesignTrace: Exploring, Iterating and Tracking Design Alternatives with GenAI

Creativity support tools have begun to incorporate GenAI for exploring ideas. However, our preliminary study with nine designers showed that current GenAI tools lack explicit support for iteratively evolving, reflecting upon and tracking design alternatives. We developed DesignTrace, an early-stage GenAI design tool t…

Xiaohan Peng et al.CNRS

DancingBox: A Lightweight MoCap System for Character Animation from Physical Proxies

Creating compelling 3D character animations typically requires either expert use of professional software or expensive motion capture systems operated by skilled actors. We present DancingBox, a lightweight, vision-based system that makes motion capture accessible to novices by reimagining the process as digital puppe…

Haocheng Yuan et al.University of Edinburgh

Haptixel: Encoding Data through Cutaneous Force-based Encountered-Type Fingertip Haptics

Data visualization benefits from non-visual cues to enable people to understand information by engaging with it through multimodality, yet most approaches rely on cumbersome technologies or large scale artifacts, making them difficult to adapt to dynamic or complex datasets. In this paper, we explore the use of cutane…

Elodie Bouzbib et al.Public University of Navarre

AdRecommended

Learn AI Coding at CodeNow

Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work.

Explore Now

Managing Medication Plans When Information Is Scattered: Clinicians' Strategies and Tools

Current hospital medication management systems generate fragmented clinical workflows,forcing clinicians to improvise repairs by creating external artifacts. We argue that instead of formalizing their workarounds into new electronic health record (EHR) features, future systems should explicitly support improvisation c…

Anastasiya Zakreuskaya et al.Inria

Liar, Liar, Headset on Fire: Understanding the Effects of Deception Attacks on Decision-Making in a Mixed Reality Game

We examine the impact of deception in Mixed Reality (MR), focusing on how subversive elements affect user behavior and decision-making. In a controlled experiment with 250 participants playing a Whac-A-Mole MR game, we introduced three types of deception attacks: (1) a Physiological Spoofing Attack intended to foster…

Ali Teymourian et al.Louisiana State University

Does Background Music Matter in Data Videos? A Study of Music's Impact on Persuasion, Engagement, and Recall

Data videos combine visualization, animation, narration, and often background music to tell stories with data. While music is widely believed to enhance emotion and persuasion, its impact in data videos remains unexplored. We conducted a preregistered between-subjects experiment comparing six widely-viewed data videos…

Hessam Djavaherpour et al.Independent Researcher

Challenges in Synchronous & Remote Collaboration Around Visualization

We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives and prior research efforts of an international group of 29 experts from across human-computer interaction and visualization sub-communities…

Matthew Brehmer et al.University of Waterloo

Artists on a Decade of AI Evolution: An Interview Study of Affordances, Culture, and Artistic Practice with Machine Learning

In the mid-2010s, media artists began developing practices using machine learning (ML) as an artistic medium. Since 2022, the rise of large generative models, the mainstreaming of AI as consumer products, and intensifying ethical disputes have reconfigured the conditions of their artistic practice. This paper aims to…

Téo Sanchez et al.Paris-Saclay University

Dark Patterns and the EU Digital Services Act: Mapping Autonomy Violations and Design Factors

Dark patterns are design practices that undermine users' ability to make autonomous and informed choices in digital experiences. The EU Digital Services Act (DSA) seeks to protect users from such designs and their effects, with Article 25 prohibiting three autonomy violation types: deception, manipulation and distorti…

Sanju Ahuja et al.Inria

Impact of Explanation Techniques and Representations on Users Comprehension and Confidence in Explainable AI

Local explainability, an important sub-field of eXplainable AI, focuses on describing the decisions of AI models for individual use cases by providing the underlying relationships between a model's inputs and outputs. While the machine learning community has made substantial progress in improving explanation accuracy…

Julien Delaunay et al.IRISA

Explainable AI (XAI)

The Potential of Cognitive Circles to Measure Mental Load

In Human-Computer Interaction, Usability, and Interaction Design, obtaining objective measures of mental workload is desirable yet challenging, as current methods are either costly and intrusive or subjective and unreliable. To overcome these limitations, we devised Cognitive Circles, a technique that estimates worklo…

Gonzalo Gabriel Méndez et al.

Universidad Politécnica de Valencia

Text-to-Image Generation for Vocabulary Learning Using the Keyword Method

The 'keyword method' is an effective technique for learning vocabulary of a foreign language. It involves creating a memorable visual link between what a word means and what its pronunciation in a foreign language sounds like in the learner's native language. However, these memorable visual links remain implicit in th…

Nuwan T Attygalle et al.University of Primorska

"Should I choose a smaller model?'': Understanding ML Model Selection and Its Impact on Sustainability

The increasing accessibility of large machine learning (ML) models has resulted in their widespread adoption in everyday products, with a correspondingly negative environmental impact. Selecting more suitable ML models could not only improve training time and achievable accuracy, but also long-term sustainability. How…

Eya Ben chaaben et al.Inria

FontCraft: Multimodal Font Design Using Interactive Bayesian Optimization

Creating new fonts requires a lot of human effort and professional typographic knowledge. Despite the rapid advancements of automatic font generation models, existing methods require users to prepare pre-designed characters with target styles using font-editing software, which poses a problem for non-expert users. To…

Yuki Tatsukawa et al.University of Tokyo

The Effect of Augmented Reality on Involuntary Autobiographical Memory

We know little about the impact of augmented reality (AR) on human cognition, particularly regarding involuntary autobiographical memory (IAM). IAMs are spontaneous recollections of personal events, ubiquitous in daily life but under-researched in both psychology and human-computer interaction. We first discuss the po…

Leana Petiot et al.Inria

Libra: An Interaction Model for Data Visualization

While existing visualization libraries enable the reuse, extension, and combination of static visualizations, achieving the same for interactions remains nearly impossible. We contribute an interaction model and its implementation to achieve this goal. Our model enables the creation of interactions that support direc…

Yue Zhao et al.Shandong University

Uncertainty in Science is Malleable. Advocating for User-Agency in Defining Uncertainty in Visualizations: a Case Study in Geology

Uncertainty is inherent in science built on previous results. In geoscience, for instance, researchers analyzing volcanic deposits assess the uncertainty around past deposit classifications. To aid this assessment, we followed a design by immersion approach to co-design uncertainty visualizations. We observed that bes…

Vanessa Peña-Araya et al.CNRS

FusAIn: Composing Generative AI Visual Prompts Using Pen-based Interaction

Although current generative AI (GenAI) enables designers to create novel images, its focus on text-based and whole-image interaction limits expressive engagement with visual materials. Based on the design concept of deconstruction and reconstruction of digital visual attributes for visual prompts, we present FusAIn, a…

Xiaohan Peng et al.CNRS

Interaction Substrates: Combining Power and Simplicity in Interactive Systems

Today’s graphical user interfaces tend to be either simple but limited, or powerful but overly complex. In order to combine power and simplicity, we introduce Substrates, which act as “places for interaction” where users can manipulate objects of interest in a principled and predictable way. Substrates structure and c…

Wendy E Mackay et al.Inria

Paper Title	Authors	Research Topics
TFTune: Creation and Personalization of Pointing Transfer Functions Using Reinforcement Learning Pointing transfer functions define the mapping between input devices and onscreen cursor movement. Despite being used by millions daily, only marginal improvements in pointing performance have been achieved by tuning transfer functions since the introduction of acceleration-based gains. We present TFTune, a reinforcem…	EE Ethan Eddy et al.University of New Brunswick
DesignTrace: Exploring, Iterating and Tracking Design Alternatives with GenAI Creativity support tools have begun to incorporate GenAI for exploring ideas. However, our preliminary study with nine designers showed that current GenAI tools lack explicit support for iteratively evolving, reflecting upon and tracking design alternatives. We developed DesignTrace, an early-stage GenAI design tool t…	XP Xiaohan Peng et al.CNRS
emoji_events DancingBox: A Lightweight MoCap System for Character Animation from Physical Proxies Creating compelling 3D character animations typically requires either expert use of professional software or expensive motion capture systems operated by skilled actors. We present DancingBox, a lightweight, vision-based system that makes motion capture accessible to novices by reimagining the process as digital puppe…	HY Haocheng Yuan et al.University of Edinburgh
Haptixel: Encoding Data through Cutaneous Force-based Encountered-Type Fingertip Haptics Data visualization benefits from non-visual cues to enable people to understand information by engaging with it through multimodality, yet most approaches rely on cumbersome technologies or large scale artifacts, making them difficult to adapt to dynamic or complex datasets. In this paper, we explore the use of cutane…	EB Elodie Bouzbib et al.Public University of Navarre
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
emoji_events Managing Medication Plans When Information Is Scattered: Clinicians' Strategies and Tools Current hospital medication management systems generate fragmented clinical workflows,forcing clinicians to improvise repairs by creating external artifacts. We argue that instead of formalizing their workarounds into new electronic health record (EHR) features, future systems should explicitly support improvisation c…	AZ Anastasiya Zakreuskaya et al.Inria
Liar, Liar, Headset on Fire: Understanding the Effects of Deception Attacks on Decision-Making in a Mixed Reality Game We examine the impact of deception in Mixed Reality (MR), focusing on how subversive elements affect user behavior and decision-making. In a controlled experiment with 250 participants playing a Whac-A-Mole MR game, we introduced three types of deception attacks: (1) a Physiological Spoofing Attack intended to foster…	AT Ali Teymourian et al.Louisiana State University
Does Background Music Matter in Data Videos? A Study of Music's Impact on Persuasion, Engagement, and Recall Data videos combine visualization, animation, narration, and often background music to tell stories with data. While music is widely believed to enhance emotion and persuasion, its impact in data videos remains unexplored. We conducted a preregistered between-subjects experiment comparing six widely-viewed data videos…	HD Hessam Djavaherpour et al.Independent Researcher
Challenges in Synchronous & Remote Collaboration Around Visualization We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives and prior research efforts of an international group of 29 experts from across human-computer interaction and visualization sub-communities…	MB Matthew Brehmer et al.University of Waterloo
Artists on a Decade of AI Evolution: An Interview Study of Affordances, Culture, and Artistic Practice with Machine Learning In the mid-2010s, media artists began developing practices using machine learning (ML) as an artistic medium. Since 2022, the rise of large generative models, the mainstreaming of AI as consumer products, and intensifying ethical disputes have reconfigured the conditions of their artistic practice. This paper aims to…	TS Téo Sanchez et al.Paris-Saclay University
emoji_events Dark Patterns and the EU Digital Services Act: Mapping Autonomy Violations and Design Factors Dark patterns are design practices that undermine users' ability to make autonomous and informed choices in digital experiences. The EU Digital Services Act (DSA) seeks to protect users from such designs and their effects, with Article 25 prohibiting three autonomy violation types: deception, manipulation and distorti…	SA Sanju Ahuja et al.Inria
Impact of Explanation Techniques and Representations on Users Comprehension and Confidence in Explainable AI Local explainability, an important sub-field of eXplainable AI, focuses on describing the decisions of AI models for individual use cases by providing the underlying relationships between a model's inputs and outputs. While the machine learning community has made substantial progress in improving explanation accuracy…	JD Julien Delaunay et al.IRISA	Explainable AI (XAI)
The Potential of Cognitive Circles to Measure Mental Load In Human-Computer Interaction, Usability, and Interaction Design, obtaining objective measures of mental workload is desirable yet challenging, as current methods are either costly and intrusive or subjective and unreliable. To overcome these limitations, we devised Cognitive Circles, a technique that estimates worklo…	GM Gonzalo Gabriel Méndez et al.Universidad Politécnica de Valencia
Text-to-Image Generation for Vocabulary Learning Using the Keyword Method The 'keyword method' is an effective technique for learning vocabulary of a foreign language. It involves creating a memorable visual link between what a word means and what its pronunciation in a foreign language sounds like in the learner's native language. However, these memorable visual links remain implicit in th…	NA Nuwan T Attygalle et al.University of Primorska
"Should I choose a smaller model?'': Understanding ML Model Selection and Its Impact on Sustainability The increasing accessibility of large machine learning (ML) models has resulted in their widespread adoption in everyday products, with a correspondingly negative environmental impact. Selecting more suitable ML models could not only improve training time and achievable accuracy, but also long-term sustainability. How…	EC Eya Ben chaaben et al.Inria
FontCraft: Multimodal Font Design Using Interactive Bayesian Optimization Creating new fonts requires a lot of human effort and professional typographic knowledge. Despite the rapid advancements of automatic font generation models, existing methods require users to prepare pre-designed characters with target styles using font-editing software, which poses a problem for non-expert users. To…	YT Yuki Tatsukawa et al.University of Tokyo
emoji_events The Effect of Augmented Reality on Involuntary Autobiographical Memory We know little about the impact of augmented reality (AR) on human cognition, particularly regarding involuntary autobiographical memory (IAM). IAMs are spontaneous recollections of personal events, ubiquitous in daily life but under-researched in both psychology and human-computer interaction. We first discuss the po…	LP Leana Petiot et al.Inria
emoji_events Libra: An Interaction Model for Data Visualization While existing visualization libraries enable the reuse, extension, and combination of static visualizations, achieving the same for interactions remains nearly impossible. We contribute an interaction model and its implementation to achieve this goal. Our model enables the creation of interactions that support direc…	YZ Yue Zhao et al.Shandong University
Uncertainty in Science is Malleable. Advocating for User-Agency in Defining Uncertainty in Visualizations: a Case Study in Geology Uncertainty is inherent in science built on previous results. In geoscience, for instance, researchers analyzing volcanic deposits assess the uncertainty around past deposit classifications. To aid this assessment, we followed a design by immersion approach to co-design uncertainty visualizations. We observed that bes…	VP Vanessa Peña-Araya et al.CNRS
FusAIn: Composing Generative AI Visual Prompts Using Pen-based Interaction Although current generative AI (GenAI) enables designers to create novel images, its focus on text-based and whole-image interaction limits expressive engagement with visual materials. Based on the design concept of deconstruction and reconstruction of digital visual attributes for visual prompts, we present FusAIn, a…	XP Xiaohan Peng et al.CNRS
Interaction Substrates: Combining Power and Simplicity in Interactive Systems Today’s graphical user interfaces tend to be either simple but limited, or powerful but overly complex. In order to combine power and simplicity, we introduce Substrates, which act as “places for interaction” where users can manipulate objects of interest in a principled and predictable way. Substrates structure and c…	WM Wendy E Mackay et al.Inria