Humans to robots: How technomorphic features shape our perceptions of each other

Heather C. Lum; Valerie K. Sims; Matthew G. Chin; Shane E. Halse; Megan A. Harris

doi:10.1177/1071181312561305

Humans to robots: How technomorphic features shape our perceptions of each other

Heather C. Lum, Valerie K. Sims, Matthew G. Chin, Shane E. Halse, Megan A. Harris

School of Humanities & Social Sciences (Behrend)

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

2 Scopus citations

Abstract

It is becoming commonplace for humans to use technology to enhance and augment their understanding of the world. In this study, we investigated whether attention to these forms of technology can be predicted by scores on the Technomorphic Tendencies Scale (TTS) (Lum et al., 2011). Participants completed the TTS and were eye tracked while viewing pictures of models wearing various types of technological devices (e.g., an eye tracker; a Bluetooth headset). Higher TTS scorers tended to have more fixations and for a shorter duration of time when compared with the lower TTS Scorers. The Technomorphic Tendencies Scale is predictive of attention directed to technology when making first impressions.

Original language	English (US)
Title of host publication	Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012
Pages	1534-1538
Number of pages	5
DOIs	https://doi.org/10.1177/1071181312561305
State	Published - Dec 1 2012
Event	Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012 - Boston, MA, United States Duration: Oct 22 2012 → Oct 26 2012

Other

Other	Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012
Country/Territory	United States
City	Boston, MA
Period	10/22/12 → 10/26/12

All Science Journal Classification (ASJC) codes

Human Factors and Ergonomics

Access to Document

10.1177/1071181312561305

Cite this

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title = "Humans to robots: How technomorphic features shape our perceptions of each other",

abstract = "It is becoming commonplace for humans to use technology to enhance and augment their understanding of the world. In this study, we investigated whether attention to these forms of technology can be predicted by scores on the Technomorphic Tendencies Scale (TTS) (Lum et al., 2011). Participants completed the TTS and were eye tracked while viewing pictures of models wearing various types of technological devices (e.g., an eye tracker; a Bluetooth headset). Higher TTS scorers tended to have more fixations and for a shorter duration of time when compared with the lower TTS Scorers. The Technomorphic Tendencies Scale is predictive of attention directed to technology when making first impressions.",

author = "Lum, {Heather C.} and Sims, {Valerie K.} and Chin, {Matthew G.} and Halse, {Shane E.} and Harris, {Megan A.}",

year = "2012",

month = dec,

day = "1",

doi = "10.1177/1071181312561305",

language = "English (US)",

isbn = "9780945289418",

pages = "1534--1538",

booktitle = "Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012",

note = "Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012 ; Conference date: 22-10-2012 Through 26-10-2012",

}

Lum, HC, Sims, VK, Chin, MG, Halse, SE & Harris, MA 2012, Humans to robots: How technomorphic features shape our perceptions of each other. in Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012. pp. 1534-1538, Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012, Boston, MA, United States, 10/22/12. https://doi.org/10.1177/1071181312561305

TY - GEN

T1 - Humans to robots

T2 - Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012

AU - Lum, Heather C.

AU - Sims, Valerie K.

AU - Chin, Matthew G.

AU - Halse, Shane E.

AU - Harris, Megan A.

PY - 2012/12/1

Y1 - 2012/12/1

N2 - It is becoming commonplace for humans to use technology to enhance and augment their understanding of the world. In this study, we investigated whether attention to these forms of technology can be predicted by scores on the Technomorphic Tendencies Scale (TTS) (Lum et al., 2011). Participants completed the TTS and were eye tracked while viewing pictures of models wearing various types of technological devices (e.g., an eye tracker; a Bluetooth headset). Higher TTS scorers tended to have more fixations and for a shorter duration of time when compared with the lower TTS Scorers. The Technomorphic Tendencies Scale is predictive of attention directed to technology when making first impressions.

AB - It is becoming commonplace for humans to use technology to enhance and augment their understanding of the world. In this study, we investigated whether attention to these forms of technology can be predicted by scores on the Technomorphic Tendencies Scale (TTS) (Lum et al., 2011). Participants completed the TTS and were eye tracked while viewing pictures of models wearing various types of technological devices (e.g., an eye tracker; a Bluetooth headset). Higher TTS scorers tended to have more fixations and for a shorter duration of time when compared with the lower TTS Scorers. The Technomorphic Tendencies Scale is predictive of attention directed to technology when making first impressions.

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DO - 10.1177/1071181312561305

M3 - Conference contribution

AN - SCOPUS:84873468689

SN - 9780945289418

SP - 1534

EP - 1538

BT - Proceedings of the Human Factors and Ergonomics Society 56th Annual Meeting, HFES 2012

Y2 - 22 October 2012 through 26 October 2012

ER -

Humans to robots: How technomorphic features shape our perceptions of each other

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