Modeling the Impact of Depth on Pointing Performance

Janzen, Izabelle; Rajendran, Vasanth Kumar; Booth, Kellogg S.

doi:10.1145/2858036.2858244

Cited by 20 publications

(13 citation statements)

References 23 publications

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“…In contrast to the significant research [31,36,61] done on pointing performances on large flat displays, users pointing performance on large curved displays has remained unexplored. However, for large displays, curved screens were preferred over flat displays [40,43].…”

Section: Discussionmentioning

confidence: 99%

“…Interaction distance is defined by the distance from the user perpendicular to the center of the display [31,60,66]. Prior works reveal that users' pointing performance varies based on the interaction distance [29,36,38].…”

Section: Interaction Distancementioning

confidence: 99%

“…Tao et al [66] evaluated the effects of interaction distance on pointing performance where they found that linear interaction distance significantly affected pointing accuracy and workload. However, using angular measures is not yet commonly accepted in the HCI community [31,61].…”

Section: Interaction Distancementioning

confidence: 99%

“…We consider linear measurements [31,47,61,64] for our study. We used 250cm, 500cm, and 750cm for the amplitude of our study (Figure 2a).…”

Section: Target Amplitude and Target Widthmentioning

confidence: 99%

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Exploring Users' Pointing Performance on Virtual and Physical Large Curved Displays

Ullah,

Delamare,

Hasan

2023

29th ACM Symposium on Virtual Reality Software and Technology

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Section: Discussionmentioning

confidence: 99%

Section: Interaction Distancementioning

confidence: 99%

Section: Interaction Distancementioning

confidence: 99%

“…We consider linear measurements [31,47,61,64] for our study. We used 250cm, 500cm, and 750cm for the amplitude of our study (Figure 2a).…”

Section: Target Amplitude and Target Widthmentioning

confidence: 99%

See 2 more Smart Citations

Exploring Users' Pointing Performance on Virtual and Physical Large Curved Displays

Ullah,

Delamare,

Hasan

2023

29th ACM Symposium on Virtual Reality Software and Technology

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“…Fitts' formulation has also been applied in the 3D domain but has shown not to represent 3D movements accurately [6,37,75,77,95]. Consequently, certain extensions were needed to account for this limitation [5,14,29,43,59,64].…”

Section: Extensions In 3d Spacementioning

confidence: 99%

The Challenges in Modeling Human Performance in 3D Space with Fitts’ Law

Triantafyllidis

2021

Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

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With the rapid growth in virtual reality technologies, object interaction is becoming increasingly more immersive, elucidating human perception and leading to promising directions towards evaluating human performance under different settings. This spike in technological growth exponentially increased the need for a human performance metric in 3D space. Fitts' law is perhaps the most widely used human prediction model in HCI history attempting to capture human movement in lower dimensions. Despite the collective effort towards deriving an advanced extension of a 3D human performance model based on Fitts' law, a standardized metric is still missing. Moreover, most of the extensions to date assume or limit their findings to certain settings, effectively disregarding important variables that are fundamental to 3D object interaction. In this review, we investigate and analyze the most prominent extensions of Fitts' law and compare their characteristics pinpointing to potentially important aspects for deriving a higher-dimensional performance model. Lastly, we mention the complexities, frontiers as well as potential challenges that may lay ahead. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); Interaction techniques; HCI theory, concepts and models; Gestural input; HCI design and evaluation methods; Graphical user interfaces; Virtual reality; Mixed / augmented reality; Pointing.

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