poster

The young and the vulnerable?: perceived negative effects of robots on youngsters prevent older adults from adopting companion robots

Authors:

Thomas F. Waddell,

S. Shyam Sundar,

Eun Hwa JungAuthors Info & Claims

CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems

Pages 1981 - 1986

https://doi.org/10.1145/2559206.2581349

Published: 26 April 2014 Publication History

Abstract

An exploratory survey (N = 640) reveals that senior citizens view robots as having more negative effects on younger people than themselves. This "third-person effect" is related to decreased intention to use companion robots. These initial findings hold theoretical, practical and methodological implications for HCI research, by showing that older users may inhibit their own adoption of robotics if they believe robots will have a negative effect on others.

Supplementary Material

ZIP File (wip0636-file3.zip)

Zip file containing a PDF of the Accompanying Poster

Download
1.40 MB

References

[1]

Broadbent, E., Stafford, r., & MacDonald, B. Acceptance of healthcare robots for the older population: Review and Future directions. International Journal of Social Robotics, 1, 4(2009), 319--330.

[2]

Davison, W. P. The third-person effect in communication. Public Opinion Quarterly, 47,1 (1983), 1--15.

[3]

Dautenhahn, K., Woods, S., Kaouri, C., Walters, M. L., Koay, K. L., and Werry, I. What is a robot companion-Friend, assistant, or butler? In Proc. of Intelligent Robots and Systems, 2005, 1192--1197

[4]

Gunther, A. C. Overrating the x-rating: The thirdperson perception and support for censorship of pornography. Journal of Communication 45(1995), 2738.

[5]

Henriksen, L., and Flora, J. A. Third-person perception and children: Perceived impact of pro- and anti-smoking ads. Communication Research 26, 6(1999), 643--665.

[6]

Ivory, J. D., and Kalyanaraman, S. Video games make people violent-Well, maybe not that game: Effects of content and person abstraction on perceptions of violent video games' effects and support of censorship. Communication Reports 22, 1(2009), 112.

[7]

Marquié, J. C., Jourdan-Boddaert, L., and Huet, N. Do older adults underestimate their actual computer knowledge? Behavior & Information Technology 21, 4(2002), 273--280.

[8]

McLeod, D. M., Eveland, W. P., and Nathanson, A. I. Support for censorship of violent and misogynic rap lyrics: An analysis of the third-person effects. Communication Research 24, 2(1997), 153--174.

[9]

Peiser, W., and Peter, J. Third-person perceptions of television-viewing behavior. Journal of Communication 50 (2000), 25--45.

[10]

Perloff, R. M. The third person effect: A critical review and synthesis. Media Psychology 1, 4(1999), 353--378.

[11]

Perloff, R. M. Mass media, social perception, and the third-person effect. In J. Bryant & M. B. Oliver (Eds.), Media Effects: Advances in Theory & Research, pp. 252--268. New York, New York: Routledge 2009.

[12]

Rubin, A. M. Television uses and gratifications: The interactions of viewing patterns and motivations. Journal of Broadcasting,27,1(1983), 37--51.

[13]

Schrarrer, E., and Leone, R. First-person shooters and the third-person effect. Human Communication Research 34, 2(2008), 210--233.

[14]

Sundar, S. S. The MAIN model: A heuristic approach to understanding technology effects on credibility. In M. J. Metzger & A. J. Flanagin (Eds.), Digital Media, Youth, and Credibility, pp. 73--100. Cambridge, MA: The MIT Press 2008.

[15]

Tal-Or, N., Cohen, J., Tsfati, Y., & Gunther, A. C. Testing causal direction in the influence of presumed media influence. Communication Research 37, 6 (2010), 801--824.

[16]

Venkatesh, V. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research 11, 4(2000), 342--365.

Digital Library

Cited By

Gambino ASundar SBrewster SFitzpatrick GCox AKostakos V(2019)Acceptance of Self-Driving CarsExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3312870(1-6)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3312870
Walden JHwa Jung EShyam Sundar SCeleste Johnson A(2015)Mental models of robots among senior citizensInteraction Studies. Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies / Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies10.1075/is.16.1.04wal16:1(68-88)Online publication date: 17-Aug-2015
https://doi.org/10.1075/is.16.1.04wal

Index Terms

The young and the vulnerable?: perceived negative effects of robots on youngsters prevent older adults from adopting companion robots
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
2. Computing methodologies
  1. Artificial intelligence
    1. Control methods
      1. Robotic planning
    2. Planning and scheduling
      1. Robotic planning

Recommendations

Mobile remote presence systems for older adults: acceptance, benefits, and concerns
HRI '11: Proceedings of the 6th international conference on Human-robot interaction

While much of human-robot interaction research focuses upon people interacting with autonomous robots, there is also much to be gained from exploring human interpersonal interaction through robots. The current study focuses on mobile remote presence (MRP)...
Affective Responses of Older Adults to the Anthropomorphic GenieConnect Companion Robot During Lockdown of the COVID19 Pandemic
HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction

Anthropomorphic robots may reduce loneliness in older people, however, acceptance is requisite for adoption. We collected the experiences of 10 people aged 80-92 who used a pre-market social robot, GenieConnect, for between 2 to 35 days during the ...
Robots in the Danger Zone: Exploring Public Perception through Engagement
HRI '20: Proceedings of the 2020 ACM/IEEE International Conference on Human-Robot Interaction

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 ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing Systems

April 2014

2620 pages

ISBN:9781450324748

DOI:10.1145/2559206

General Chairs:
Matt Jones
Swansea University, Wales, UK
,
Philippe Palanque
Université Paul Sabatier, France
,
Program Chairs:
Albrecht Schmidt
University of Stuttgart, Germany
,
Tovi Grossman
Autodesk Research, Canada

Copyright © 2014 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2014

Check for updates

Author Tags

Qualifiers

Poster

Conference

CHI '14

Sponsor:

SIGCHI

CHI '14: CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2014

Ontario, Toronto, Canada

Acceptance Rates

CHI EA '14 Paper Acceptance Rate 1,000 of 3,200 submissions, 31%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
189
Total Downloads

Downloads (Last 12 months)13
Downloads (Last 6 weeks)1

Reflects downloads up to 01 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Gambino ASundar SBrewster SFitzpatrick GCox AKostakos V(2019)Acceptance of Self-Driving CarsExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3312870(1-6)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3312870
Walden JHwa Jung EShyam Sundar SCeleste Johnson A(2015)Mental models of robots among senior citizensInteraction Studies. Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies / Social Behaviour and Communication in Biological and Artificial SystemsInteraction Studies10.1075/is.16.1.04wal16:1(68-88)Online publication date: 17-Aug-2015
https://doi.org/10.1075/is.16.1.04wal

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten