Modeling perceived screen resolution based on position and orientation of wrist-worn devices

Frederic Kerber; Michael Mauderer; Antonio Krüger

doi:10.1145/3173574.3174184

Modeling perceived screen resolution based on position and orientation of wrist-worn devices

Frederic Kerber, Michael Mauderer, Antonio Krüger

Computing

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

Abstract

This paper presents a model allowing inferences of perceivable screen content in relation to position and orientation of mobile or wearable devices with respect to their user. The model is based on findings from vision science and allows prediction of a value of effective resolution that can be perceived by a user. It considers distance and angle between the device and the eyes of the observer as well as the resulting retinal eccentricity when the device is not directly focused but observed in the periphery. To validate our model, we conducted a study with 12 participants. Based on our results, we outline implications for the design of mobile applications that are able to adapt themselves to facilitate information throughput and usability.

Original language	English
Title of host publication	CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Engage with CHI
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	1-7
Number of pages	7
Volume	2018-April
ISBN (Electronic)	9781450356206, 9781450356213
DOIs	https://doi.org/10.1145/3173574.3174184
Publication status	Published - 20 Apr 2018
Event	2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018 https://chi2018.acm.org/

Conference

Conference	2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
Country/Territory	Canada
City	Montreal
Period	21/04/18 → 26/04/18
Internet address	https://chi2018.acm.org/

Keywords

Modeling
Perception
Wrist-worn devices

ASJC Scopus subject areas

Human-Computer Interaction
Computer Graphics and Computer-Aided Design
Software

Access to Document

10.1145/3173574.3174184

Cite this

Kerber, F., Mauderer, M., & Krüger, A. (2018). Modeling perceived screen resolution based on position and orientation of wrist-worn devices. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Vol. 2018-April, pp. 1-7). [610] Association for Computing Machinery (ACM). https://doi.org/10.1145/3173574.3174184

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title = "Modeling perceived screen resolution based on position and orientation of wrist-worn devices",

abstract = "This paper presents a model allowing inferences of perceivable screen content in relation to position and orientation of mobile or wearable devices with respect to their user. The model is based on findings from vision science and allows prediction of a value of effective resolution that can be perceived by a user. It considers distance and angle between the device and the eyes of the observer as well as the resulting retinal eccentricity when the device is not directly focused but observed in the periphery. To validate our model, we conducted a study with 12 participants. Based on our results, we outline implications for the design of mobile applications that are able to adapt themselves to facilitate information throughput and usability.",

keywords = "Modeling, Perception, Wrist-worn devices",

author = "Frederic Kerber and Michael Mauderer and Antonio Kr{\"u}ger",

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doi = "10.1145/3173574.3174184",

language = "English",

volume = "2018-April",

pages = "1--7",

booktitle = "CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery (ACM)",

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Kerber, F, Mauderer, M & Krüger, A 2018, Modeling perceived screen resolution based on position and orientation of wrist-worn devices. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. vol. 2018-April, 610, Association for Computing Machinery (ACM), New York, pp. 1-7, 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, Quebec, Canada, 21/04/18. https://doi.org/10.1145/3173574.3174184

Modeling perceived screen resolution based on position and orientation of wrist-worn devices. / Kerber, Frederic; Mauderer, Michael; Krüger, Antonio.

CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Vol. 2018-April New York : Association for Computing Machinery (ACM), 2018. p. 1-7 610.

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

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AU - Krüger, Antonio

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N2 - This paper presents a model allowing inferences of perceivable screen content in relation to position and orientation of mobile or wearable devices with respect to their user. The model is based on findings from vision science and allows prediction of a value of effective resolution that can be perceived by a user. It considers distance and angle between the device and the eyes of the observer as well as the resulting retinal eccentricity when the device is not directly focused but observed in the periphery. To validate our model, we conducted a study with 12 participants. Based on our results, we outline implications for the design of mobile applications that are able to adapt themselves to facilitate information throughput and usability.

AB - This paper presents a model allowing inferences of perceivable screen content in relation to position and orientation of mobile or wearable devices with respect to their user. The model is based on findings from vision science and allows prediction of a value of effective resolution that can be perceived by a user. It considers distance and angle between the device and the eyes of the observer as well as the resulting retinal eccentricity when the device is not directly focused but observed in the periphery. To validate our model, we conducted a study with 12 participants. Based on our results, we outline implications for the design of mobile applications that are able to adapt themselves to facilitate information throughput and usability.

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KW - Perception

KW - Wrist-worn devices

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DO - 10.1145/3173574.3174184

M3 - Conference contribution

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VL - 2018-April

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BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

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ER -

Modeling perceived screen resolution based on position and orientation of wrist-worn devices

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this