Behavior-intention analysis and human-aware computing: case study and discussion

Charles Z. Liu; Hasan Aliamani; Manolya Kavakli

doi:10.1109/ICIEA.2017.8282899

Behavior-intention analysis and human-aware computing: case study and discussion

Charles Z. Liu, Hasan Aliamani, Manolya Kavakli

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

3 Citations (Scopus)

Abstract

In this paper, we mainly focus on human-aware computing and its applications in collaborative interaction. Several aspects including human recognition, behavior awareness, and intention analysis are discussed. A driving behavior case study has been presented to show how different factors, such as information, intention, mood, and stress, affect driving behavior. This study serves as a base for behavior-intention analysis and modeling human-awareness in human-computer interaction (HCI).

Original language	English
Title of host publication	Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	516-521
Number of pages	6
Volume	2018-February
ISBN (Electronic)	9781538621035, 9781509061617
ISBN (Print)	9781509061624
DOIs	https://doi.org/10.1109/ICIEA.2017.8282899
Publication status	Published - 2017
Event	12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017 - Siem Reap, Cambodia Duration: 18 Jun 2017 → 20 Jun 2017

Conference

Conference	12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017
Country/Territory	Cambodia
City	Siem Reap
Period	18/06/17 → 20/06/17

Keywords

behavior-intention analysis
driving under unfamiliar driving conditions
user-experience

Access to Document

10.1109/ICIEA.2017.8282899

Cite this

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title = "Behavior-intention analysis and human-aware computing: case study and discussion",

abstract = "In this paper, we mainly focus on human-aware computing and its applications in collaborative interaction. Several aspects including human recognition, behavior awareness, and intention analysis are discussed. A driving behavior case study has been presented to show how different factors, such as information, intention, mood, and stress, affect driving behavior. This study serves as a base for behavior-intention analysis and modeling human-awareness in human-computer interaction (HCI).",

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booktitle = "Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017",

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note = "12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017 ; Conference date: 18-06-2017 Through 20-06-2017",

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Liu, CZ, Aliamani, H & Kavakli, M 2017, Behavior-intention analysis and human-aware computing: case study and discussion. in Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017. vol. 2018-February, Institute of Electrical and Electronics Engineers (IEEE), pp. 516-521, 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017, Siem Reap, Cambodia, 18/06/17. https://doi.org/10.1109/ICIEA.2017.8282899

Behavior-intention analysis and human-aware computing : case study and discussion. / Liu, Charles Z.; Aliamani, Hasan; Kavakli, Manolya.

Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017. Vol. 2018-February Institute of Electrical and Electronics Engineers (IEEE), 2017. p. 516-521.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Aliamani, Hasan

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PY - 2017

Y1 - 2017

N2 - In this paper, we mainly focus on human-aware computing and its applications in collaborative interaction. Several aspects including human recognition, behavior awareness, and intention analysis are discussed. A driving behavior case study has been presented to show how different factors, such as information, intention, mood, and stress, affect driving behavior. This study serves as a base for behavior-intention analysis and modeling human-awareness in human-computer interaction (HCI).

AB - In this paper, we mainly focus on human-aware computing and its applications in collaborative interaction. Several aspects including human recognition, behavior awareness, and intention analysis are discussed. A driving behavior case study has been presented to show how different factors, such as information, intention, mood, and stress, affect driving behavior. This study serves as a base for behavior-intention analysis and modeling human-awareness in human-computer interaction (HCI).

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KW - driving under unfamiliar driving conditions

KW - user-experience

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DO - 10.1109/ICIEA.2017.8282899

M3 - Conference proceeding contribution

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SN - 9781509061624

VL - 2018-February

SP - 516

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BT - Proceedings of the 2017 12th IEEE Conference on Industrial Electronics and Applications, ICIEA 2017

PB - Institute of Electrical and Electronics Engineers (IEEE)

Y2 - 18 June 2017 through 20 June 2017

ER -

Behavior-intention analysis and human-aware computing: case study and discussion

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