A Remote Breathing Relaxation System- A case-study for Web-based Real-time Adaptive Human to Virtual Human Interaction

Sanobar Dar; Aniko Ekart; Ulysses Bernardet

doi:10.14236/ewic/hci2022.32

A Remote Breathing Relaxation System- A case-study for Web-based Real-time Adaptive Human to Virtual Human Interaction

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

We present a web-based design for a human agent interaction (HAI) system. In this relaxation system a virtual-human acts as a breathing coach and guides the user along with it using a series of breathing exercises. The core of the proposed design is a step ladder approach for optimising the difficulty level of the breathing exercises. We are using real-time optimisation to achieve a seamless and effective interaction between the human user and the virtual coach. For the user to have a personalised exercise, the coach adapts the exercise regime based on the user’s response. For a natural interaction experience, our virtual coach looks like a human, speaks in human voice and displays nonverbal gestures.

Original language	English
Title of host publication	Proceedings of 35th British HCI Conference Towards a Human-Centred Digital Society, HCI 2022
Number of pages	4
DOIs	https://doi.org/10.14236/ewic/hci2022.32
Publication status	Published - 11 Jul 2022
Event	35th International BCS Human-Computer Interaction Conference - Hybrid/Keele University, Keele, United Kingdom Duration: 11 Jul 2022 → 13 Jul 2022 https://www.bcs.org/events-calendar/2022/july/hybrid-event-35th-international-bcs-human-computer-interaction-conference/

Conference

Conference	35th International BCS Human-Computer Interaction Conference
Abbreviated title	HCI2022
Country/Territory	United Kingdom
City	Keele
Period	11/07/22 → 13/07/22
Internet address	https://www.bcs.org/events-calendar/2022/july/hybrid-event-35th-international-bcs-human-computer-interaction-conference/

Access to Document

10.14236/ewic/hci2022.32Licence: CC BY 4.0

Cite this

@inproceedings{953d8e0268384eefbea6686b3f00dfcc,

title = "A Remote Breathing Relaxation System- A case-study for Web-based Real-time Adaptive Human to Virtual Human Interaction",

abstract = "We present a web-based design for a human agent interaction (HAI) system. In this relaxation system a virtual-human acts as a breathing coach and guides the user along with it using a series of breathing exercises. The core of the proposed design is a step ladder approach for optimising the difficulty level of the breathing exercises. We are using real-time optimisation to achieve a seamless and effective interaction between the human user and the virtual coach. For the user to have a personalised exercise, the coach adapts the exercise regime based on the user{\textquoteright}s response. For a natural interaction experience, our virtual coach looks like a human, speaks in human voice and displays nonverbal gestures. ",

author = "Sanobar Dar and Aniko Ekart and Ulysses Bernardet",

year = "2022",

month = jul,

day = "11",

doi = "10.14236/ewic/hci2022.32",

language = "English",

booktitle = "Proceedings of 35th British HCI Conference Towards a Human-Centred Digital Society, HCI 2022",

note = "35th International BCS Human-Computer Interaction Conference , HCI2022 ; Conference date: 11-07-2022 Through 13-07-2022",

url = "https://www.bcs.org/events-calendar/2022/july/hybrid-event-35th-international-bcs-human-computer-interaction-conference/",

}

Dar, S , Ekart, A & Bernardet, U 2022, A Remote Breathing Relaxation System- A case-study for Web-based Real-time Adaptive Human to Virtual Human Interaction. in Proceedings of 35th British HCI Conference Towards a Human-Centred Digital Society, HCI 2022. 35th International BCS Human-Computer Interaction Conference , Keele, United Kingdom, 11/07/22. https://doi.org/10.14236/ewic/hci2022.32

TY - GEN

T1 - A Remote Breathing Relaxation System- A case-study for Web-based Real-time Adaptive Human to Virtual Human Interaction

AU - Dar, Sanobar

AU - Ekart, Aniko

AU - Bernardet, Ulysses

PY - 2022/7/11

Y1 - 2022/7/11

N2 - We present a web-based design for a human agent interaction (HAI) system. In this relaxation system a virtual-human acts as a breathing coach and guides the user along with it using a series of breathing exercises. The core of the proposed design is a step ladder approach for optimising the difficulty level of the breathing exercises. We are using real-time optimisation to achieve a seamless and effective interaction between the human user and the virtual coach. For the user to have a personalised exercise, the coach adapts the exercise regime based on the user’s response. For a natural interaction experience, our virtual coach looks like a human, speaks in human voice and displays nonverbal gestures.

AB - We present a web-based design for a human agent interaction (HAI) system. In this relaxation system a virtual-human acts as a breathing coach and guides the user along with it using a series of breathing exercises. The core of the proposed design is a step ladder approach for optimising the difficulty level of the breathing exercises. We are using real-time optimisation to achieve a seamless and effective interaction between the human user and the virtual coach. For the user to have a personalised exercise, the coach adapts the exercise regime based on the user’s response. For a natural interaction experience, our virtual coach looks like a human, speaks in human voice and displays nonverbal gestures.

UR - https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2022.32

U2 - 10.14236/ewic/hci2022.32

DO - 10.14236/ewic/hci2022.32

M3 - Conference publication

BT - Proceedings of 35th British HCI Conference Towards a Human-Centred Digital Society, HCI 2022

T2 - 35th International BCS Human-Computer Interaction Conference

Y2 - 11 July 2022 through 13 July 2022

ER -

A Remote Breathing Relaxation System- A case-study for Web-based Real-time Adaptive Human to Virtual Human Interaction

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this