Robot Gestures Make Difficult Tasks Easier: the Impact of Gestures on Perceived Workload and Task Performance

Manja Lohse; Reinier Rothuis; Jorge Gallego Pérez; Daphne E. Karreman; Vanessa Evers

doi:10.1145/2556288.2557274

Robot Gestures Make Difficult Tasks Easier: the Impact of Gestures on Perceived Workload and Task Performance

Manja Lohse, Reinier Rothuis, Jorge Gallego Pérez, Daphne E. Karreman, Vanessa Evers

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

31 Citations (Scopus)

38 Downloads (Pure)

Abstract

Gestures are important non-verbal signals in human communication. Research with virtual agents and robots has started to add to the scientific knowledge about gestures but many questions with respect to the use of gestures in human-computer interaction are still open. This paper investigates the influence of robot gestures on the users' perceived workload and task performance (i.e. information recall) in a direction-giving task. We conducted a 2 x 2 (robot gestures vs. no robot gestures x easy vs. difficult task) experiment. The results indicate that robot gestures increased user performance and decreased perceived workload in the difficult task but not in the easy task. Thus, robot gestures are a promising means to improve human-robot interaction particularly in challenging tasks.

Original language	English
Title of host publication	CHI 2014
Subtitle of host publication	Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	1459-1466
Number of pages	8
ISBN (Print)	978-1-4503-2473-1
DOIs	https://doi.org/10.1145/2556288.2557274
Publication status	Published - 26 Apr 2014
Event	SIGCHI Conference on Human Factors in Computing Systems, CHI 2014 - Toronto, Canada Duration: 26 Apr 2014 → 1 May 2014

Conference

Conference	SIGCHI Conference on Human Factors in Computing Systems, CHI 2014
Abbreviated title	CHI
Country/Territory	Canada
City	Toronto
Period	26/04/14 → 1/05/14

Keywords

HMI-MI: MULTIMODAL INTERACTIONS
HMI-IA: Intelligent Agents
EC Grant Agreement nr.: FP7/288235
EC Grant Agreement nr.: FP7/214755
EC Grant Agreement nr.: FP7/600877

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10.1145/2556288.2557274

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Lohse, M., Rothuis, R., Gallego Pérez, J., Karreman, D. E., & Evers, V. (2014). Robot Gestures Make Difficult Tasks Easier: the Impact of Gestures on Perceived Workload and Task Performance. In CHI 2014: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1459-1466). Association for Computing Machinery (ACM). https://doi.org/10.1145/2556288.2557274

Lohse, Manja ; Rothuis, Reinier ; Gallego Pérez, Jorge ; Karreman, Daphne E. ; Evers, Vanessa. / Robot Gestures Make Difficult Tasks Easier : the Impact of Gestures on Perceived Workload and Task Performance. CHI 2014: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York, NY : Association for Computing Machinery (ACM), 2014. pp. 1459-1466

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title = "Robot Gestures Make Difficult Tasks Easier: the Impact of Gestures on Perceived Workload and Task Performance",

abstract = "Gestures are important non-verbal signals in human communication. Research with virtual agents and robots has started to add to the scientific knowledge about gestures but many questions with respect to the use of gestures in human-computer interaction are still open. This paper investigates the influence of robot gestures on the users' perceived workload and task performance (i.e. information recall) in a direction-giving task. We conducted a 2 x 2 (robot gestures vs. no robot gestures x easy vs. difficult task) experiment. The results indicate that robot gestures increased user performance and decreased perceived workload in the difficult task but not in the easy task. Thus, robot gestures are a promising means to improve human-robot interaction particularly in challenging tasks.",

keywords = "HMI-MI: MULTIMODAL INTERACTIONS, HMI-IA: Intelligent Agents, EC Grant Agreement nr.: FP7/288235, EC Grant Agreement nr.: FP7/214755, EC Grant Agreement nr.: FP7/600877",

author = "Manja Lohse and Reinier Rothuis and {Gallego P{\'e}rez}, Jorge and Karreman, {Daphne E.} and Vanessa Evers",

year = "2014",

month = apr,

day = "26",

doi = "10.1145/2556288.2557274",

language = "English",

isbn = "978-1-4503-2473-1",

pages = "1459--1466",

booktitle = "CHI 2014",

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note = "SIGCHI Conference on Human Factors in Computing Systems, CHI 2014, CHI ; Conference date: 26-04-2014 Through 01-05-2014",

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Lohse, M, Rothuis, R, Gallego Pérez, J, Karreman, DE & Evers, V 2014, Robot Gestures Make Difficult Tasks Easier: the Impact of Gestures on Perceived Workload and Task Performance. in CHI 2014: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), New York, NY, pp. 1459-1466, SIGCHI Conference on Human Factors in Computing Systems, CHI 2014, Toronto, Ontario, Canada, 26/04/14. https://doi.org/10.1145/2556288.2557274

Robot Gestures Make Difficult Tasks Easier : the Impact of Gestures on Perceived Workload and Task Performance. / Lohse, Manja; Rothuis, Reinier; Gallego Pérez, Jorge; Karreman, Daphne E.; Evers, Vanessa.

CHI 2014: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York, NY : Association for Computing Machinery (ACM), 2014. p. 1459-1466.

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

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T1 - Robot Gestures Make Difficult Tasks Easier

T2 - SIGCHI Conference on Human Factors in Computing Systems, CHI 2014

AU - Lohse, Manja

AU - Rothuis, Reinier

AU - Gallego Pérez, Jorge

AU - Karreman, Daphne E.

AU - Evers, Vanessa

PY - 2014/4/26

Y1 - 2014/4/26

N2 - Gestures are important non-verbal signals in human communication. Research with virtual agents and robots has started to add to the scientific knowledge about gestures but many questions with respect to the use of gestures in human-computer interaction are still open. This paper investigates the influence of robot gestures on the users' perceived workload and task performance (i.e. information recall) in a direction-giving task. We conducted a 2 x 2 (robot gestures vs. no robot gestures x easy vs. difficult task) experiment. The results indicate that robot gestures increased user performance and decreased perceived workload in the difficult task but not in the easy task. Thus, robot gestures are a promising means to improve human-robot interaction particularly in challenging tasks.

AB - Gestures are important non-verbal signals in human communication. Research with virtual agents and robots has started to add to the scientific knowledge about gestures but many questions with respect to the use of gestures in human-computer interaction are still open. This paper investigates the influence of robot gestures on the users' perceived workload and task performance (i.e. information recall) in a direction-giving task. We conducted a 2 x 2 (robot gestures vs. no robot gestures x easy vs. difficult task) experiment. The results indicate that robot gestures increased user performance and decreased perceived workload in the difficult task but not in the easy task. Thus, robot gestures are a promising means to improve human-robot interaction particularly in challenging tasks.

KW - HMI-MI: MULTIMODAL INTERACTIONS

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KW - EC Grant Agreement nr.: FP7/288235

KW - EC Grant Agreement nr.: FP7/214755

KW - EC Grant Agreement nr.: FP7/600877

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Lohse M, Rothuis R, Gallego Pérez J, Karreman DE, Evers V. Robot Gestures Make Difficult Tasks Easier: the Impact of Gestures on Perceived Workload and Task Performance. In CHI 2014: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. New York, NY: Association for Computing Machinery (ACM). 2014. p. 1459-1466 https://doi.org/10.1145/2556288.2557274

Robot Gestures Make Difficult Tasks Easier: the Impact of Gestures on Perceived Workload and Task Performance

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