Study on Human-Variability-Respecting Optimal Control Affecting Human Interaction Experience

Fuente: arXiv
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Autori principali: Kille, Sean, Varga, Balint, Hohmann, Sören
Natura: Preprint
Pubblicazione: 2024
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author Kille, Sean
Varga, Balint
Hohmann, Sören
author_facet Kille, Sean
Varga, Balint
Hohmann, Sören
contents Broad application of human-machine interaction (HMI) demands advanced and human-centered control designs for the machine's automation. Human natural motor action shows stochastic behavior, which has so far not been respected in HMI control designs. Using a previously presented novel human-variability-respecting optimal controller we present a study design which allows the investigation of respecting human natural variability and its effect on human interaction experience. Our approach is tested in simulation based on an identified real human subject and presents a promising approach to be used for a larger subject study.
format Preprint
id arxiv_https___arxiv_org_abs_2408_08620
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Study on Human-Variability-Respecting Optimal Control Affecting Human Interaction Experience
Kille, Sean
Varga, Balint
Hohmann, Sören
Systems and Control
Broad application of human-machine interaction (HMI) demands advanced and human-centered control designs for the machine's automation. Human natural motor action shows stochastic behavior, which has so far not been respected in HMI control designs. Using a previously presented novel human-variability-respecting optimal controller we present a study design which allows the investigation of respecting human natural variability and its effect on human interaction experience. Our approach is tested in simulation based on an identified real human subject and presents a promising approach to be used for a larger subject study.
title Study on Human-Variability-Respecting Optimal Control Affecting Human Interaction Experience
topic Systems and Control
url https://arxiv.org/abs/2408.08620