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Author: 593

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Model-based Evaluation of Recall-based Interaction Techniques

This article tackles two challenges of the empirical evaluation of interaction techniques that rely on user memory, such as hotkeys, here coined Recall-based interaction techniques (RBITs): (1) the lack of guidance to design the associated study protocols, and (2) the difficulty of comparing evaluations performed with…

Julien Gori et al.CNRS

Trust in AI-assisted Decision Making: Perspectives from Those Behind the System and Those for Whom the Decision is Made

Trust between humans and AI in the context of decision-making has acquired an important role in public policy, research and industry. In this context, Human-AI Trust has often been tackled from the lens of cognitive science and psychology, but lacks insights from the stakeholders involved. In this paper, we conducted…

Oleksandra Vereschak et al.CNRS

Exploring Capturing Approaches in Shared Fabrication Workshops: Current Practice and Opportunities

Capturing content of fabrication activities is the first step for producing knowledge resources and an integral part of maker culture. As a secondary task, it conflicts though with the fabrication activity, and thus it is often forgotten and knowledge resources end up incomplete.In this article, we investigate differe…

Clara Rigaud et al.Sorbonne University

Maker Culture, Workshops, and Emerging Practices

Exploring Capturing Approaches in Shared Fabrication Workshops: Current Practice and Opportunities

Clara Rigaud et al.Sorbonne University

Maker Culture, Workshops, and Emerging Practices

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Adapting User Interfaces with Model-based Reinforcement Learning

Adapting an interface requires taking into account both the positive and negative effects that changes may have on the user. A carelessly picked adaptation may impose high costs to the user – for example, due to surprise or relearning effort – or "trap" the process to a suboptimal design immaturely. However, effects o…

Kashyap Todi et al.Aalto University

"Beyond 3D printers": Understanding Digital Fabrication Practices for the Education of Visually Impaired or Blind Youth

Disability professionals could use digital fabrication tools to provide customised assistive technologies or accessible media beneficial to the education of Blind or visually impaired youth. However, there is little documentation of long-term practices with these tools by professionals in this field, limiting our abil…

Emeline Brulé et al.University of Sussex

CoVR: A Large-Scale Force-Feedback Robotic Interface for Non-Deterministic Scenarios in VR

We present CoVR, a novel robotic interface providing strong kinesthetic feedback (100 N) in a room-scale VR arena. It consists of a physical column mounted on a 2D Cartesian ceiling robot (XY displacements) with the capacity of (1) resisting to body-scaled users’ actions such as pushing or leaning; (2) acting on the u…

Elodie Bouzbib et al.Sorbonne University

Multimodal and Mixed Control of Robotic Endoscopes

Bedside robotic endoscopes render surgeons autonomous from assistants, potentially improving surgical outcome and decreasing costs. Why then have they not been widely adopted? We take a step back and first characterize classic (non-robotic) endoscope use through observations, literature and a domain expert interview.…

Ignacio Avellino et al.Sorbonne University

Retroactive Transfer Phenomena in Alternating User Interfaces

We investigated retroactive transfer when users alternate between different interfaces. Retroactive transfer is the influence of a newly learned interface on users' performance with a previously learned interface. In an interview study, participants described their experiences when alternating between different interf…

Reyhaneh Raissi et al.CNRS

Skin-On Interfaces: A Bio-Driven Approach for Artificial Skin Design to Cover Interactive Devices

We propose a paradigm called Skin-On interfaces, in which interactive devices have their own (artificial) skin, thus enabling new forms of input gestures for end-users (e.g. twist, scratch). Our work explores the design space of Skin-On interfaces by following a bio-driven approach: (1) from a sensory point of view,…

Marc Teyssier et al.Paris-Saclay University

Predicting Human Performance in Vertical Menu Selection Using Deep Learning

Predicting human performance in interaction tasks allows designers or developers to understand the expected performance of a target interface without actually testing it with real users. In this work, we present a deep neural net to model and predict human performance in performing a sequence of UI tasks. In particula…

Yang Li et al.Google

Taking into account Sensory Knowledge: the case of Geo-techologies for children with visual impairments

This paper argues for designing geo-technologies supporting non-visual sensory knowledge. Sensory knowledge refers to the implicit and explicit knowledge guiding our uses of our senses to understand the world. To support our argument, we build on an 18 months field-study on geography classes for primary school childre…

Emeline Brulé et al.UMR GMPA

Paper Title	Authors	Research Topics
Model-based Evaluation of Recall-based Interaction Techniques This article tackles two challenges of the empirical evaluation of interaction techniques that rely on user memory, such as hotkeys, here coined Recall-based interaction techniques (RBITs): (1) the lack of guidance to design the associated study protocols, and (2) the difficulty of comparing evaluations performed with…	JG Julien Gori et al.CNRS
Trust in AI-assisted Decision Making: Perspectives from Those Behind the System and Those for Whom the Decision is Made Trust between humans and AI in the context of decision-making has acquired an important role in public policy, research and industry. In this context, Human-AI Trust has often been tackled from the lens of cognitive science and psychology, but lacks insights from the stakeholders involved. In this paper, we conducted…	OV Oleksandra Vereschak et al.CNRS
Exploring Capturing Approaches in Shared Fabrication Workshops: Current Practice and Opportunities Capturing content of fabrication activities is the first step for producing knowledge resources and an integral part of maker culture. As a secondary task, it conflicts though with the fabrication activity, and thus it is often forgotten and knowledge resources end up incomplete.In this article, we investigate differe…	CR Clara Rigaud et al.Sorbonne University	Maker Culture, Workshops, and Emerging Practices
Exploring Capturing Approaches in Shared Fabrication Workshops: Current Practice and Opportunities Capturing content of fabrication activities is the first step for producing knowledge resources and an integral part of maker culture. As a secondary task, it conflicts though with the fabrication activity, and thus it is often forgotten and knowledge resources end up incomplete.In this article, we investigate differe…	CR Clara Rigaud et al.Sorbonne University	Maker Culture, Workshops, and Emerging Practices
AdRecommended Learn AI Coding at CodeNow Structured lessons, hands-on projects, and continuous updates for people bringing AI into real development work. Explore Now
Adapting User Interfaces with Model-based Reinforcement Learning Adapting an interface requires taking into account both the positive and negative effects that changes may have on the user. A carelessly picked adaptation may impose high costs to the user – for example, due to surprise or relearning effort – or "trap" the process to a suboptimal design immaturely. However, effects o…	KT Kashyap Todi et al.Aalto University
emoji_events "Beyond 3D printers": Understanding Digital Fabrication Practices for the Education of Visually Impaired or Blind Youth Disability professionals could use digital fabrication tools to provide customised assistive technologies or accessible media beneficial to the education of Blind or visually impaired youth. However, there is little documentation of long-term practices with these tools by professionals in this field, limiting our abil…	EB Emeline Brulé et al.University of Sussex
CoVR: A Large-Scale Force-Feedback Robotic Interface for Non-Deterministic Scenarios in VR We present CoVR, a novel robotic interface providing strong kinesthetic feedback (100 N) in a room-scale VR arena. It consists of a physical column mounted on a 2D Cartesian ceiling robot (XY displacements) with the capacity of (1) resisting to body-scaled users’ actions such as pushing or leaning; (2) acting on the u…	EB Elodie Bouzbib et al.Sorbonne University
Multimodal and Mixed Control of Robotic Endoscopes Bedside robotic endoscopes render surgeons autonomous from assistants, potentially improving surgical outcome and decreasing costs. Why then have they not been widely adopted? We take a step back and first characterize classic (non-robotic) endoscope use through observations, literature and a domain expert interview.…	IA Ignacio Avellino et al.Sorbonne University
Retroactive Transfer Phenomena in Alternating User Interfaces We investigated retroactive transfer when users alternate between different interfaces. Retroactive transfer is the influence of a newly learned interface on users' performance with a previously learned interface. In an interview study, participants described their experiences when alternating between different interf…	RR Reyhaneh Raissi et al.CNRS
Skin-On Interfaces: A Bio-Driven Approach for Artificial Skin Design to Cover Interactive Devices We propose a paradigm called Skin-On interfaces, in which interactive devices have their own (artificial) skin, thus enabling new forms of input gestures for end-users (e.g. twist, scratch). Our work explores the design space of Skin-On interfaces by following a bio-driven approach: (1) from a sensory point of view,…	MT Marc Teyssier et al.Paris-Saclay University
Predicting Human Performance in Vertical Menu Selection Using Deep Learning Predicting human performance in interaction tasks allows designers or developers to understand the expected performance of a target interface without actually testing it with real users. In this work, we present a deep neural net to model and predict human performance in performing a sequence of UI tasks. In particula…	YL Yang Li et al.Google
Taking into account Sensory Knowledge: the case of Geo-techologies for children with visual impairments This paper argues for designing geo-technologies supporting non-visual sensory knowledge. Sensory knowledge refers to the implicit and explicit knowledge guiding our uses of our senses to understand the world. To support our argument, we build on an 18 months field-study on geography classes for primary school childre…	EB Emeline Brulé et al.UMR GMPA