Eyes are faster than Hands: An Analysis of Mobile Gaze-based Interaction with IoT Devices

Florian Jungwirth; Michaela Murauer; Michael Haslgrübler-Huemer; Alois Ferscha

Eyes are faster than Hands: An Analysis of Mobile Gaze-based Interaction with IoT Devices

Florian Jungwirth
, Michaela Murauer
, Michael Haslgrübler-Huemer
, Alois Ferscha

Institute of Pervasive Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

With the establishment of IoT environments, everyday objects become digitally controllable and the need for new interaction techniques is arising. In this paper, we investigate the potential of a mobile eye tracker as an interaction device with a prototypical system, that strictly focuses on the eye as a single input modality and employs object and gaze fixation detection algorithms. To evaluate our approach, a 30 person user study was conducted in a controlled laboratory environment. A detailed comparison between physical and gaze-based interaction (with real world objects) was made, showing promising results that highlight significant improvements of interaction efficiency up from a certain distance. Further, the distance between users and the objects had no significant effect on task completion time for gaze-based interaction within the scope of the study.

Original language	English
Title of host publication	Workshop on Handling the Internet of Things: Human-Computer Interaction Perspectives on IoT (in conjunction with IoT '17)
Editors	to appear
Publisher	ACM DL
Number of pages	8
Publication status	Published - 2017

Fields of science

102 Computer Sciences
102009 Computer simulation
102013 Human-computer interaction
102019 Machine learning
102021 Pervasive computing
102022 Software development
102025 Distributed systems

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Cite this

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title = "Eyes are faster than Hands: An Analysis of Mobile Gaze-based Interaction with IoT Devices",

abstract = "With the establishment of IoT environments, everyday objects become digitally controllable and the need for new interaction techniques is arising. In this paper, we investigate the potential of a mobile eye tracker as an interaction device with a prototypical system, that strictly focuses on the eye as a single input modality and employs object and gaze fixation detection algorithms. To evaluate our approach, a 30 person user study was conducted in a controlled laboratory environment. A detailed comparison between physical and gaze-based interaction (with real world objects) was made, showing promising results that highlight significant improvements of interaction efficiency up from a certain distance. Further, the distance between users and the objects had no significant effect on task completion time for gaze-based interaction within the scope of the study.",

author = "Florian Jungwirth and Michaela Murauer and Michael Haslgr{\"u}bler-Huemer and Alois Ferscha",

year = "2017",

language = "English",

editor = "\{to appear\}",

booktitle = "Workshop on Handling the Internet of Things: Human-Computer Interaction Perspectives on IoT (in conjunction with IoT '17)",

publisher = "ACM DL",

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Eyes are faster than Hands: An Analysis of Mobile Gaze-based Interaction with IoT Devices. / Jungwirth, Florian; Murauer, Michaela; Haslgrübler-Huemer, Michael et al.
Workshop on Handling the Internet of Things: Human-Computer Interaction Perspectives on IoT (in conjunction with IoT '17). ed. / to appear. ACM DL, 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Eyes are faster than Hands: An Analysis of Mobile Gaze-based Interaction with IoT Devices

AU - Jungwirth, Florian

AU - Murauer, Michaela

AU - Haslgrübler-Huemer, Michael

AU - Ferscha, Alois

PY - 2017

Y1 - 2017

N2 - With the establishment of IoT environments, everyday objects become digitally controllable and the need for new interaction techniques is arising. In this paper, we investigate the potential of a mobile eye tracker as an interaction device with a prototypical system, that strictly focuses on the eye as a single input modality and employs object and gaze fixation detection algorithms. To evaluate our approach, a 30 person user study was conducted in a controlled laboratory environment. A detailed comparison between physical and gaze-based interaction (with real world objects) was made, showing promising results that highlight significant improvements of interaction efficiency up from a certain distance. Further, the distance between users and the objects had no significant effect on task completion time for gaze-based interaction within the scope of the study.

AB - With the establishment of IoT environments, everyday objects become digitally controllable and the need for new interaction techniques is arising. In this paper, we investigate the potential of a mobile eye tracker as an interaction device with a prototypical system, that strictly focuses on the eye as a single input modality and employs object and gaze fixation detection algorithms. To evaluate our approach, a 30 person user study was conducted in a controlled laboratory environment. A detailed comparison between physical and gaze-based interaction (with real world objects) was made, showing promising results that highlight significant improvements of interaction efficiency up from a certain distance. Further, the distance between users and the objects had no significant effect on task completion time for gaze-based interaction within the scope of the study.

UR - http://www.pervasive.jku.at/Research/Publications?do=abstract&key=543

M3 - Conference proceedings

BT - Workshop on Handling the Internet of Things: Human-Computer Interaction Perspectives on IoT (in conjunction with IoT '17)

A2 - to appear, null

PB - ACM DL

ER -

Eyes are faster than Hands: An Analysis of Mobile Gaze-based Interaction with IoT Devices

Abstract

Fields of science

JKU Focus areas

Other files and links

EyeControl: Eye-Controlled Machines

Cite this

Eyes are faster than Hands: An Analysis of Mobile Gaze-based Interaction with IoT Devices

Abstract

Fields of science

JKU Focus areas

Other files and links

Projects

EyeControl: Eye-Controlled Machines

Cite this