Robots in the Danger Zone: Exploring Public Perception through Engagement

David Robb, Muneeb Ahmad, Carlo Tiseo, Simona Aracri, Alistair Campbell McConnell, Vincent Page, Christian Dondrup, Francisco Javier Chiyah Garcia, Hai-Nguyen Nguyen, Èric Pairet Artau, Paola Ardon, Tushar Semwal, Hazel Taylor, Lindsay Wilson, David Michael Lane, Helen Hastie, Katrin Solveig Lohan

Research output: Contribution to conferencePaper

Abstract

Public perceptions of Robotics and Artificial Intelligence (RAI) are important in the acceptance, uptake, government regulation and research funding of this technology. Recent research has shown that the public's understanding of RAI can be negative or inaccurate. We believe effective public engagement can help ensure that public opinion is better informed. In this paper, we describe our first iteration of a high throughput in-person public engagement activity. We describe the use of a light touch quiz-format survey instrument to integrate in-the-wild research participation into the engagement, allowing us to probe both the effectiveness of our engagement strategy, and public perceptions of the future roles of robots and humans working in dangerous settings, such as in the off-shore energy sector. We critique our methods and share interesting results into generational differences within the public's view of the future of Robotics and AI in hazardous environments. These findings include that older peoples' views about the future of robots in hazardous environments were not swayed by exposure to our exhibit, while the views of younger people were affected by our exhibit, leading us to consider carefully in future how to more effectively engage with and inform older people.
Original languageEnglish
Number of pages10
Publication statusAccepted/In press - 8 Jan 2020
Event15th Annual ACM/IEEE International Conference on Human-Robot Interaction - Corn Exchange, Cambridge, United Kingdom
Duration: 23 Mar 202026 Mar 2020
https://humanrobotinteraction.org/2020/

Conference

Conference15th Annual ACM/IEEE International Conference on Human-Robot Interaction
Abbreviated titleHRI 2020
CountryUnited Kingdom
CityCambridge
Period23/03/2026/03/20
Internet address

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Robotics
Robots
Artificial intelligence
Throughput

Cite this

Robb, D., Ahmad, M., Tiseo, C., Aracri, S., McConnell, A. C., Page, V., ... Lohan, K. S. (Accepted/In press). Robots in the Danger Zone: Exploring Public Perception through Engagement. Paper presented at 15th Annual ACM/IEEE International Conference on Human-Robot Interaction, Cambridge, United Kingdom.
Robb, David ; Ahmad, Muneeb ; Tiseo, Carlo ; Aracri, Simona ; McConnell, Alistair Campbell ; Page, Vincent ; Dondrup, Christian ; Garcia, Francisco Javier Chiyah ; Nguyen, Hai-Nguyen ; Pairet Artau, Èric ; Ardon, Paola ; Semwal, Tushar ; Taylor, Hazel ; Wilson, Lindsay ; Lane, David Michael ; Hastie, Helen ; Lohan, Katrin Solveig. / Robots in the Danger Zone: Exploring Public Perception through Engagement. Paper presented at 15th Annual ACM/IEEE International Conference on Human-Robot Interaction, Cambridge, United Kingdom.10 p.
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title = "Robots in the Danger Zone: Exploring Public Perception through Engagement",
abstract = "Public perceptions of Robotics and Artificial Intelligence (RAI) are important in the acceptance, uptake, government regulation and research funding of this technology. Recent research has shown that the public's understanding of RAI can be negative or inaccurate. We believe effective public engagement can help ensure that public opinion is better informed. In this paper, we describe our first iteration of a high throughput in-person public engagement activity. We describe the use of a light touch quiz-format survey instrument to integrate in-the-wild research participation into the engagement, allowing us to probe both the effectiveness of our engagement strategy, and public perceptions of the future roles of robots and humans working in dangerous settings, such as in the off-shore energy sector. We critique our methods and share interesting results into generational differences within the public's view of the future of Robotics and AI in hazardous environments. These findings include that older peoples' views about the future of robots in hazardous environments were not swayed by exposure to our exhibit, while the views of younger people were affected by our exhibit, leading us to consider carefully in future how to more effectively engage with and inform older people.",
author = "David Robb and Muneeb Ahmad and Carlo Tiseo and Simona Aracri and McConnell, {Alistair Campbell} and Vincent Page and Christian Dondrup and Garcia, {Francisco Javier Chiyah} and Hai-Nguyen Nguyen and {Pairet Artau}, {\`E}ric and Paola Ardon and Tushar Semwal and Hazel Taylor and Lindsay Wilson and Lane, {David Michael} and Helen Hastie and Lohan, {Katrin Solveig}",
year = "2020",
month = "1",
day = "8",
language = "English",
note = "15th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2020 ; Conference date: 23-03-2020 Through 26-03-2020",
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Robb, D, Ahmad, M, Tiseo, C, Aracri, S, McConnell, AC, Page, V, Dondrup, C, Garcia, FJC, Nguyen, H-N, Pairet Artau, È, Ardon, P, Semwal, T, Taylor, H, Wilson, L, Lane, DM, Hastie, H & Lohan, KS 2020, 'Robots in the Danger Zone: Exploring Public Perception through Engagement', Paper presented at 15th Annual ACM/IEEE International Conference on Human-Robot Interaction, Cambridge, United Kingdom, 23/03/20 - 26/03/20.

Robots in the Danger Zone: Exploring Public Perception through Engagement. / Robb, David; Ahmad, Muneeb; Tiseo, Carlo; Aracri, Simona; McConnell, Alistair Campbell; Page, Vincent; Dondrup, Christian; Garcia, Francisco Javier Chiyah; Nguyen, Hai-Nguyen; Pairet Artau, Èric; Ardon, Paola; Semwal, Tushar; Taylor, Hazel; Wilson, Lindsay; Lane, David Michael; Hastie, Helen; Lohan, Katrin Solveig.

2020. Paper presented at 15th Annual ACM/IEEE International Conference on Human-Robot Interaction, Cambridge, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Robots in the Danger Zone: Exploring Public Perception through Engagement

AU - Robb, David

AU - Ahmad, Muneeb

AU - Tiseo, Carlo

AU - Aracri, Simona

AU - McConnell, Alistair Campbell

AU - Page, Vincent

AU - Dondrup, Christian

AU - Garcia, Francisco Javier Chiyah

AU - Nguyen, Hai-Nguyen

AU - Pairet Artau, Èric

AU - Ardon, Paola

AU - Semwal, Tushar

AU - Taylor, Hazel

AU - Wilson, Lindsay

AU - Lane, David Michael

AU - Hastie, Helen

AU - Lohan, Katrin Solveig

PY - 2020/1/8

Y1 - 2020/1/8

N2 - Public perceptions of Robotics and Artificial Intelligence (RAI) are important in the acceptance, uptake, government regulation and research funding of this technology. Recent research has shown that the public's understanding of RAI can be negative or inaccurate. We believe effective public engagement can help ensure that public opinion is better informed. In this paper, we describe our first iteration of a high throughput in-person public engagement activity. We describe the use of a light touch quiz-format survey instrument to integrate in-the-wild research participation into the engagement, allowing us to probe both the effectiveness of our engagement strategy, and public perceptions of the future roles of robots and humans working in dangerous settings, such as in the off-shore energy sector. We critique our methods and share interesting results into generational differences within the public's view of the future of Robotics and AI in hazardous environments. These findings include that older peoples' views about the future of robots in hazardous environments were not swayed by exposure to our exhibit, while the views of younger people were affected by our exhibit, leading us to consider carefully in future how to more effectively engage with and inform older people.

AB - Public perceptions of Robotics and Artificial Intelligence (RAI) are important in the acceptance, uptake, government regulation and research funding of this technology. Recent research has shown that the public's understanding of RAI can be negative or inaccurate. We believe effective public engagement can help ensure that public opinion is better informed. In this paper, we describe our first iteration of a high throughput in-person public engagement activity. We describe the use of a light touch quiz-format survey instrument to integrate in-the-wild research participation into the engagement, allowing us to probe both the effectiveness of our engagement strategy, and public perceptions of the future roles of robots and humans working in dangerous settings, such as in the off-shore energy sector. We critique our methods and share interesting results into generational differences within the public's view of the future of Robotics and AI in hazardous environments. These findings include that older peoples' views about the future of robots in hazardous environments were not swayed by exposure to our exhibit, while the views of younger people were affected by our exhibit, leading us to consider carefully in future how to more effectively engage with and inform older people.

M3 - Paper

ER -

Robb D, Ahmad M, Tiseo C, Aracri S, McConnell AC, Page V et al. Robots in the Danger Zone: Exploring Public Perception through Engagement. 2020. Paper presented at 15th Annual ACM/IEEE International Conference on Human-Robot Interaction, Cambridge, United Kingdom.