Social responses in mobile messaging

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Social responses in mobile messaging: influence strategies, self-disclosure, and source orientation

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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents

Boston, MA, USA

SESSION: Studying cell phone use table of contents

Pages: 1651-1654

Year of Publication: 2009

ISBN:978-1-60558-246-7

Authors

Dean Eckles	Stanford University; Nokia Research Center, Stanford, CA, USA
Doug Wightman	Queen's University, Kingston, ON, Canada
Claire Carlson	Stanford University, Stanford, CA, USA
Attapol Thamrongrattanarit	Stanford University, Stanford, CA, USA
Marcello Bastea-Forte	Stanford University, Stanford, CA, USA
B. J. Fogg	Stanford University, Stanford, CA, USA

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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ABSTRACT

This paper reports on a direct test of social responses to communication technologies theory (SRCT) with mobile messaging. SRCT predicts that people will mindlessly respond to computers in social ways that mirror their responses to humans. A field experiment (N=71) using participants' own mobile phones compared three influence strategies (direct request, flattery, and social norms) in the context of asking intimate questions of participants. These messages came from either an ostensibly human or computer sender. Flattery significantly increased self-disclosure when ostensibly sent by a human, but not when from a computer. The interaction effect for sender and influence strategy is inconsistent with SRCT's predictions. Implications for theories of source orientation, research methods, and future research are discussed.

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.

	1	Shane Ahern , Dean Eckles , Nathaniel S. Good , Simon King , Mor Naaman , Rahul Nair, Over-exposed?: privacy patterns and considerations in online and mobile photo sharing, Proceedings of the SIGCHI conference on Human factors in computing systems, April 28-May 03, 2007, San Jose, California, USA [doi>10.1145/1240624.1240683]
	2	Sunny Consolvo , Ian E. Smith , Tara Matthews , Anthony LaMarca , Jason Tabert , Pauline Powledge, Location disclosure to social relations: why, when, & what people want to share, Proceedings of the SIGCHI conference on Human factors in computing systems, April 02-07, 2005, Portland, Oregon, USA [doi>10.1145/1054972.1054985]
	3	B. J. Fogg , Clifford Nass, Silicon sycophants: the effects of computers that flatter, International Journal of Human-Computer Studies, v.46 n.5, p.551-561, May 1997 [doi>10.1006/ijhc.1996.0104]
	4	Mikael Goldstein , Gunilla Alsiö , Jost Werdenhoff, The Media Equation Does Not Always Apply: People are not Polite Towards Small Computers, Personal and Ubiquitous Computing, v.6 n.2, p.87-96, April 2002 [doi>10.1007/s007790200008]
	5	Joinson, A.N. (2001). Self-disclosure in computer-mediated communication: The role of self-awareness and visual anonymity. European Journal of Social Psychology, 31(2), 177--192.
	6	Langer, E.J. (1992). Matters of mind: Mindfulness/mindlessness in perspective. Consciousness and Cognition, 1, 289--305.
	7	Moon, Y. (2000). Intimate exchanges: Using computers to elicit self-disclosure from consumers. Journal of Consumer Research, 26(4), 323--339.
	8	John Morkes , Hadyn K. Kernal , Clifford Nass, Effects of humor in task-oriented human-computer interaction and computer-mediated communication: a direct test of SRCT theory, Human-Computer Interaction, v.14 n.4, p.395-435, December 1999 [doi>10.1207/S15327051HCI1404_2]
	9	Nass, C.,&Mason, L. (1990). On the study of technology and task: A variable-based approach. Organizations and Communication Technology.
	10	Nass, C.,&Moon, Y. (2000). Machines and mindlessness: Social responses to computers. Journal of Social Issues, 56(1), 81--103.
	11	Byron Reeves , Clifford Nass, The media equation: how people treat computers, television, and new media like real people and places, Cambridge University Press, New York, NY, 1996
	12	Nicole Shechtman , Leonard M. Horowitz, Media inequality in conversation: how people behave differently when interacting with computers and people, Proceedings of the SIGCHI conference on Human factors in computing systems, April 05-10, 2003, Ft. Lauderdale, Florida, USA [doi>10.1145/642611.642661]
	13	Sundar, S.S.,&Nass, C. (2000). Source orientation in human-computer interaction: Programmer, networker, or independent social actor. Communication Research, 27(6), 683--703.
	14	QianYing Wang , Clifford Nass, Less visible and wireless: two experiments on the effects of microphone type on users' performance and perception, Proceedings of the SIGCHI conference on Human factors in computing systems, April 02-07, 2005, Portland, Oregon, USA [doi>10.1145/1054972.1055086]
	15	Suzanne Weisband , Sara Kiesler, Self disclosure on computer forms: meta-analysis and implications, Proceedings of the SIGCHI conference on Human factors in computing systems: common ground, p.3-10, April 13-18, 1996, Vancouver, British Columbia, Canada [doi>10.1145/238386.238387]