On the effect of user faults on her perception of agents faults in collaborative settings

Reut Asraf; Chen Rozenshtein; David Sarne

doi:10.1145/3472307.3484681

On the effect of user faults on her perception of agents faults in collaborative settings

Reut Asraf, Chen Rozenshtein, David Sarne

Department of Computer Science

Bar-Ilan University

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

1 Scopus citations

Abstract

In various human-Agent collaborative settings the agent is fault-prone. In many of these settings, it is possible that the human user will also account to failure, hindering task execution. In this paper we study the effect of the latter type of failures over the user's satisfaction with the agent in the collaborative setting. We report the results of two experiments, differing in the number of agent's faults and the way faults influence task progress and attract players' focus, with 264 subjects recruited and interacted through Amazon Mechanical Turk. We find that when the user accounts for some faults during the collaborative execution of the task, she becomes more forgiving to the agent faults, and consequently more satisfied with the collaboration, compared to the case where she makes no faults. The importance of this finding becomes most apparent in the design of collaborative agents.

Original language	English
Title of host publication	HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction
Publisher	Association for Computing Machinery, Inc
Pages	372-376
Number of pages	5
ISBN (Electronic)	9781450386203
DOIs	https://doi.org/10.1145/3472307.3484681
State	Published - 9 Nov 2021
Event	9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021 - Virtual, Online, Japan Duration: 9 Nov 2021 → 11 Nov 2021

Publication series

Name	HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction

Conference

Conference	9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021
Country/Territory	Japan
City	Virtual, Online
Period	9/11/21 → 11/11/21

Bibliographical note

Publisher Copyright:
© 2021 Owner/Author.

Keywords

HAI experimental methods
Human-virtual agent interaction
Intelligent user interfaces

Access to Document

10.1145/3472307.3484681

Cite this

Asraf, R., Rozenshtein, C., & Sarne, D. (2021). On the effect of user faults on her perception of agents faults in collaborative settings. In HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction (pp. 372-376). (HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction). Association for Computing Machinery, Inc. https://doi.org/10.1145/3472307.3484681

Asraf, Reut ; Rozenshtein, Chen ; Sarne, David. / On the effect of user faults on her perception of agents faults in collaborative settings. HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction. Association for Computing Machinery, Inc, 2021. pp. 372-376 (HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction).

@inproceedings{d10373839cd7412c897fbd78c0b2f04f,

title = "On the effect of user faults on her perception of agents faults in collaborative settings",

abstract = "In various human-Agent collaborative settings the agent is fault-prone. In many of these settings, it is possible that the human user will also account to failure, hindering task execution. In this paper we study the effect of the latter type of failures over the user's satisfaction with the agent in the collaborative setting. We report the results of two experiments, differing in the number of agent's faults and the way faults influence task progress and attract players' focus, with 264 subjects recruited and interacted through Amazon Mechanical Turk. We find that when the user accounts for some faults during the collaborative execution of the task, she becomes more forgiving to the agent faults, and consequently more satisfied with the collaboration, compared to the case where she makes no faults. The importance of this finding becomes most apparent in the design of collaborative agents.",

keywords = "HAI experimental methods, Human-virtual agent interaction, Intelligent user interfaces",

author = "Reut Asraf and Chen Rozenshtein and David Sarne",

note = "Publisher Copyright: {\textcopyright} 2021 Owner/Author.; 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021 ; Conference date: 09-11-2021 Through 11-11-2021",

year = "2021",

month = nov,

day = "9",

doi = "10.1145/3472307.3484681",

language = "אנגלית",

series = "HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction",

publisher = "Association for Computing Machinery, Inc",

pages = "372--376",

booktitle = "HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction",

}

Asraf, R, Rozenshtein, C & Sarne, D 2021, On the effect of user faults on her perception of agents faults in collaborative settings. in HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction. HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, Association for Computing Machinery, Inc, pp. 372-376, 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021, Virtual, Online, Japan, 9/11/21. https://doi.org/10.1145/3472307.3484681

On the effect of user faults on her perception of agents faults in collaborative settings. / Asraf, Reut; Rozenshtein, Chen; Sarne, David.
HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction. Association for Computing Machinery, Inc, 2021. p. 372-376 (HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction).

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

TY - GEN

T1 - On the effect of user faults on her perception of agents faults in collaborative settings

AU - Asraf, Reut

AU - Rozenshtein, Chen

AU - Sarne, David

PY - 2021/11/9

Y1 - 2021/11/9

N2 - In various human-Agent collaborative settings the agent is fault-prone. In many of these settings, it is possible that the human user will also account to failure, hindering task execution. In this paper we study the effect of the latter type of failures over the user's satisfaction with the agent in the collaborative setting. We report the results of two experiments, differing in the number of agent's faults and the way faults influence task progress and attract players' focus, with 264 subjects recruited and interacted through Amazon Mechanical Turk. We find that when the user accounts for some faults during the collaborative execution of the task, she becomes more forgiving to the agent faults, and consequently more satisfied with the collaboration, compared to the case where she makes no faults. The importance of this finding becomes most apparent in the design of collaborative agents.

AB - In various human-Agent collaborative settings the agent is fault-prone. In many of these settings, it is possible that the human user will also account to failure, hindering task execution. In this paper we study the effect of the latter type of failures over the user's satisfaction with the agent in the collaborative setting. We report the results of two experiments, differing in the number of agent's faults and the way faults influence task progress and attract players' focus, with 264 subjects recruited and interacted through Amazon Mechanical Turk. We find that when the user accounts for some faults during the collaborative execution of the task, she becomes more forgiving to the agent faults, and consequently more satisfied with the collaboration, compared to the case where she makes no faults. The importance of this finding becomes most apparent in the design of collaborative agents.

KW - HAI experimental methods

KW - Human-virtual agent interaction

KW - Intelligent user interfaces

UR - http://www.scopus.com/inward/record.url?scp=85119322523&partnerID=8YFLogxK

U2 - 10.1145/3472307.3484681

DO - 10.1145/3472307.3484681

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:85119322523

T3 - HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction

SP - 372

EP - 376

BT - HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction

PB - Association for Computing Machinery, Inc

T2 - 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021

Y2 - 9 November 2021 through 11 November 2021

ER -

Asraf R, Rozenshtein C, Sarne D. On the effect of user faults on her perception of agents faults in collaborative settings. In HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction. Association for Computing Machinery, Inc. 2021. p. 372-376. (HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction). doi: 10.1145/3472307.3484681

On the effect of user faults on her perception of agents faults in collaborative settings

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this