John Williamson

John Williamson

University of Glasgow

H-index: 33

Europe-United Kingdom

About John Williamson

John Williamson, With an exceptional h-index of 33 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Glasgow, specializes in the field of Computational Interaction, HCI, probablistic models, sonification, sensors.

His recent articles reflect a diverse array of research interests and contributions to the field:

School of Computing Science

Riverside Festival, Glasgow: An Interview with Dave Clarke and Mark McKechnie

ThermoSecure: Investigating the effectiveness of AI-driven thermal attacks on commonly used computer keyboards

Does interactive conditioning help users better understand the structure of probabilistic models?

Using models of baseline gameplay to design for physical rehabilitation

Bayesian Methods for Interaction and Design

Human–Computer Interaction Design and Inverse Problems

Mathematical Background and Notation

John Williamson Information

University

Position

Lecturer Computing Science

Citations(all)

3460

Citations(since 2020)

1256

Cited By

2710

hIndex(all)

33

hIndex(since 2020)

20

i10Index(all)

68

i10Index(since 2020)

41

Email

University Profile Page

Google Scholar

John Williamson Skills & Research Interests

Computational Interaction

HCI

probablistic models

sonification

sensors

Top articles of John Williamson

Riverside Festival, Glasgow: An Interview with Dave Clarke and Mark McKechnie

2023/9/29

John Williamson
John Williamson

H-Index: 22

ThermoSecure: Investigating the effectiveness of AI-driven thermal attacks on commonly used computer keyboards

ACM Transactions on Privacy and Security

2023/3/13

John Williamson
John Williamson

H-Index: 22

Mohamed Khamis
Mohamed Khamis

H-Index: 18

Does interactive conditioning help users better understand the structure of probabilistic models?

IEEE Transactions on Visualization and Computer Graphics

2023/1/5

Using models of baseline gameplay to design for physical rehabilitation

arXiv preprint arXiv:2209.14788

2022/9/29

Human–Computer Interaction Design and Inverse Problems

Bayesian Methods for Interaction and Design

2022/8/25

Mathematical Background and Notation

Bayesian Methods for Interaction and Design

2022/8/25

An Introduction to Bayesian Methods for Interaction Design

Bayesian Methods for Interaction and Design

2022/8/25

Digital proxemics: Designing social and collaborative interaction in virtual environments

2022/4/29

First steps towards designing electrotactons: investigating intensity and pulse frequency as parameters for electrotactile cues

2022/4/29

Low‐dimensional embeddings for interaction design

Advanced Intelligent Systems

2022/2

Evaluating Bayesian Model Visualisations

arXiv preprint arXiv:2201.03604

2022/1/10

Does Interacting Help Users Better Understand the Structure of Probabilistic Models?

arXiv preprint arXiv:2201.03605

2022/1/10

3d cues for human control of target acquisition in auditory augmented reality

2022

John Williamson
John Williamson

H-Index: 22

Roderick Murray-Smith
Roderick Murray-Smith

H-Index: 30

Forward and inverse models in HCI: physical simulation and deep learning for inferring 3D finger pose

arXiv preprint arXiv:2109.03366

2021/9/7

Probabilistic framework for integration of mass spectrum and retention time information in small molecule identification

Bioinformatics

2021/6/15

Fast and secure authentication in virtual reality using coordinated 3d manipulation and pointing

ACM Transactions on Computer-Human Interaction (ToCHI)

2021/1/20

Increasing interpretability of bayesian probabilistic programming models through interactive representations

Frontiers in Computer Science

2020/12/11

See List of Professors in John Williamson University(University of Glasgow)

Co-Authors

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