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Hardware companions?: what online AIBO discussion forums reveal about the human-robotic relationship
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Source Conference on Human Factors in Computing Systems archive
Proceedings of the SIGCHI conference on Human factors in computing systems table of contents
Ft. Lauderdale, Florida, USA
SESSION: Digital sociability table of contents
Pages: 273 - 280  
Year of Publication: 2003
ISBN:1-58113-630-7
Authors
Batya Friedman  University of Washington/UW, Seattle, WA
Peter H. Kahn, Jr.  University of Washington/UW, Seattle, WA
Jennifer Hagman  University of Washington/UW, Seattle, WA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 13,   Downloads (12 Months): 95,   Citation Count: 18
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ABSTRACT

In this study, we investigated people's relationships with AIBO, a robotic pet, through 6,438 spontaneous postings in online AIBO discussion forums. Results showed that AIBO psychologically engaged this group of participants, particularly by drawing forth conceptions of technological essences (75%), life-like essences (49%), mental states (60%), and social rapport (59%). However, participants seldom attributed moral standing to AIBO (e.g., that AIBO deserves respect, has rights, or can be held morally accountable for action). Our discussion focuses on how robotic pets (now and in the future) may (a) challenge traditional boundaries (e.g. between who or what can possess feelings), (b) extend our conceptions of self, companionship, and community, and (c) begin to replace interactions with live pets. We also discuss a concern that people in general, and children in particular, may fall prey to accepting robotic pets without the moral responsibilities (and moral developmental outcomes) that real, reciprocal companionship and cooperation involves. This research contributes to a growing literature on the human-robotic relationship.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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CITED BY  18

Collaborative Colleagues:
Batya Friedman: colleagues
Peter H. Kahn, Jr.: colleagues
Jennifer Hagman: colleagues