What Do We Mean by “Interaction”? An Analysis of 35 Years of CHI

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

What Do We Mean by “Interaction”? An Analysis of 35 Years of CHI. / Hornbæk, Kasper; Mottelson, Aske; Knibbe, Jarrod; Vogel, Daniel.

In: ACM Transactions on Computer-Human Interaction, Vol. 26, No. 4, 27, 01.07.2019.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Hornbæk, K, Mottelson, A, Knibbe, J & Vogel, D 2019, 'What Do We Mean by “Interaction”? An Analysis of 35 Years of CHI', ACM Transactions on Computer-Human Interaction, vol. 26, no. 4, 27. https://doi.org/10.1145/3325285

APA

Hornbæk, K., Mottelson, A., Knibbe, J., & Vogel, D. (2019). What Do We Mean by “Interaction”? An Analysis of 35 Years of CHI. ACM Transactions on Computer-Human Interaction, 26(4), [27]. https://doi.org/10.1145/3325285

Vancouver

Hornbæk K, Mottelson A, Knibbe J, Vogel D. What Do We Mean by “Interaction”? An Analysis of 35 Years of CHI. ACM Transactions on Computer-Human Interaction. 2019 Jul 1;26(4). 27. https://doi.org/10.1145/3325285

Author

Hornbæk, Kasper ; Mottelson, Aske ; Knibbe, Jarrod ; Vogel, Daniel. / What Do We Mean by “Interaction”? An Analysis of 35 Years of CHI. In: ACM Transactions on Computer-Human Interaction. 2019 ; Vol. 26, No. 4.

Bibtex

@article{4703de13fdf6499d8444c1637941a063,
title = "What Do We Mean by “Interaction”?: An Analysis of 35 Years of CHI",
abstract = "The notion of interaction is essential to human-computer interaction, yet rarely studied. We use quantitative and qualitative methods to investigate how this notion has been used across 35 years of proceedings from the ACM Conference on Human Factors in Computing (CHI). Using natural language processing, we extract 53,568 occurrences of the word “interaction” across 4,604 papers. In these occurrences, we categorize 2,668 unique words that modify how “interaction” is used in a sentence. We show that the use of “interaction” is both increasing and diversifying, suggesting the importance of the notion, but also the difficulty in developing theory about interaction. Our findings show that styles of interaction are closely associated with changes in technology and that modalities and characteristics of interaction are becoming more of a topic than specific devices or widgets. Interaction qualities, relating to structure, feel, effectiveness, and efficiency, are consistently prominent, and the quality of novelty is increasingly frequent. From this analysis, we identify open questions about interaction, including how to build knowledge across changing technologies, how to work toward a model of quality for interaction, and what the core of a science of interaction could be.",
author = "Kasper Hornb{\ae}k and Aske Mottelson and Jarrod Knibbe and Daniel Vogel",
year = "2019",
month = jul,
day = "1",
doi = "10.1145/3325285",
language = "English",
volume = "26",
journal = "ACM Transactions on Computer-Human Interaction",
issn = "1073-0516",
publisher = "Association for Computing Machinery, Inc.",
number = "4",

}

RIS

TY - JOUR

T1 - What Do We Mean by “Interaction”?

T2 - An Analysis of 35 Years of CHI

AU - Hornbæk, Kasper

AU - Mottelson, Aske

AU - Knibbe, Jarrod

AU - Vogel, Daniel

PY - 2019/7/1

Y1 - 2019/7/1

N2 - The notion of interaction is essential to human-computer interaction, yet rarely studied. We use quantitative and qualitative methods to investigate how this notion has been used across 35 years of proceedings from the ACM Conference on Human Factors in Computing (CHI). Using natural language processing, we extract 53,568 occurrences of the word “interaction” across 4,604 papers. In these occurrences, we categorize 2,668 unique words that modify how “interaction” is used in a sentence. We show that the use of “interaction” is both increasing and diversifying, suggesting the importance of the notion, but also the difficulty in developing theory about interaction. Our findings show that styles of interaction are closely associated with changes in technology and that modalities and characteristics of interaction are becoming more of a topic than specific devices or widgets. Interaction qualities, relating to structure, feel, effectiveness, and efficiency, are consistently prominent, and the quality of novelty is increasingly frequent. From this analysis, we identify open questions about interaction, including how to build knowledge across changing technologies, how to work toward a model of quality for interaction, and what the core of a science of interaction could be.

AB - The notion of interaction is essential to human-computer interaction, yet rarely studied. We use quantitative and qualitative methods to investigate how this notion has been used across 35 years of proceedings from the ACM Conference on Human Factors in Computing (CHI). Using natural language processing, we extract 53,568 occurrences of the word “interaction” across 4,604 papers. In these occurrences, we categorize 2,668 unique words that modify how “interaction” is used in a sentence. We show that the use of “interaction” is both increasing and diversifying, suggesting the importance of the notion, but also the difficulty in developing theory about interaction. Our findings show that styles of interaction are closely associated with changes in technology and that modalities and characteristics of interaction are becoming more of a topic than specific devices or widgets. Interaction qualities, relating to structure, feel, effectiveness, and efficiency, are consistently prominent, and the quality of novelty is increasingly frequent. From this analysis, we identify open questions about interaction, including how to build knowledge across changing technologies, how to work toward a model of quality for interaction, and what the core of a science of interaction could be.

UR - http://www.mendeley.com/research/we-mean-interaction-analysis-35-years-chi

U2 - 10.1145/3325285

DO - 10.1145/3325285

M3 - Journal article

VL - 26

JO - ACM Transactions on Computer-Human Interaction

JF - ACM Transactions on Computer-Human Interaction

SN - 1073-0516

IS - 4

M1 - 27

ER -

ID: 226825458