Making use of drivers' glances onto the screen for explicit gaze-based interaction

Kern, Dagmar; Mahr, Angela; Castronovo, Sandro; Schmidt, Albrecht; Müller, Christian

doi:10.1145/1969773.1969792

Cited by 35 publications

(22 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As touchscreen infotainment systems became popular in cars, researchers investigated in-car touch-based interactions [3,6,9,11,20,24]. Kern and Schmidt [10] discussed the increased number of input devices (e.g.…”

Section: Introductionmentioning

confidence: 99%

An Evaluation of Input Controls for In-Car Interactions

Brewster

Beruscha

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

The way drivers operate in-car systems is rapidly changing as traditional physical controls, such as buttons and dials, are being replaced by touchscreens and touch-sensing surfaces. This has the potential to increase driver distraction and error as controls may be harder to find and use. This paper presents an in-car, on the road driving study which examined three key types of input controls to investigate their effects: a physical dial, pressure-based input on a touch surface and touch input on a touchscreen. The physical dial and pressure-based input were also evaluated with and without haptic feedback. The study was conducted with users performing a list-based targeting task using the different controls while driving on public roads. Eye-gaze was recorded to measure distraction from the primary task of driving. The results showed that target accuracy was high across all input methods (greater than 94%). Pressurebased targeting was the slowest while directly tapping on the targets was the faster selection method. Pressure-based input also caused the largest number of glances towards to the touchscreen but the duration of each glance was shorter than directly touching the screen. Our study will enable designers to make more appropriate design choices for future in-car interactions.

show abstract

Section: Introductionmentioning

confidence: 99%

An Evaluation of Input Controls for In-Car Interactions

Brewster

Beruscha

et al. 2017

Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

show abstract

“…In single task study, we can only measure the pointing and selection times, but in our setup, we could measure both response times of switching attention from primary to secondary task and completion time of the secondary task. Kern [59] reported such a study, and, using a similar primary task as this paper, the touchscreen produced a mean deviation of 1.18 while a gaze controlled interface 1.31. In our projected gaze controlled display, the average mean deviation was only 0.98.…”

Section: Discussionmentioning

confidence: 64%

“…In our projected gaze controlled display, the average mean deviation was only 0.98. Unlike Kern [59], we also reported average response times for pointing and selection times on the dashboard. As per our knowledge, there is not any reported work on dual task studies involving flight simulator and gaze controlled interface.…”

Section: Discussionmentioning

confidence: 99%

Eye Gaze Controlled Projected Display in Automotive and Military Aviation Environments

Prabhakar

Biswas

2018

MTI

View full text Add to dashboard Cite

This paper presents an eye gaze controlled projected display that can be used in aviation and automotive environment as a head up display. We have presented details of the hardware and software used in developing the display and an algorithm to improve performance of point and selection tasks in eye gaze controlled graphical user interface. The algorithm does not require changing layout of an interface; it rather puts a set of hotspots on clickable targets using a Simulated Annealing algorithm. Four user studies involving driving and flight simulators have found that the proposed projected display can improve driving and flying performance and significantly reduce pointing and selection times for secondary mission control tasks compared to existing interaction systems.

show abstract

“…Furthermore, eye movement research in the automotive area, to a great extent, focuses on capturing the driver's eye movements in order to detect the driver's state in terms of, e.g., inattention (e.g., [6]), in-alertness or fatigue (e.g., [2]), or vigilance (e.g., [1]), while more recent research addresses the gaze of the driver as means t o interact with in-vehicle information systems (IVIS, [11]). The gaze of the front-seat passenger and its potential as further source of info rmation for the driver is mostly neglected.…”

Section: Gaze In the Carmentioning

confidence: 99%