Multiple-object tracking in displays where each item is unique: Do competing organizations impair the ability to track targets that share a common colour or shape?
Year: 2026
Type: article
Abstract: • Multiple-object tracking is better when targets and distractors differ by a feature. • Automatic grouping? If so, target-distractor similarity should negate benefit. • 16 item display, combining 4 colors & 4 shapes, produces competing groupings. • Target-distractor similarity does not negate effects of target-target similarity. • Thus, grouping is not fully automatic; grouping benefits even when targets differ. Multiple-object tracking (MOT) involves monitoring positions of multiple independent targets as they move among distractors. Standard MOT involves identical items but Erlikhman et al. (2013) showed better performance when targets and distractors differed in colour or shape. They attributed this to automatic featural grouping processes that facilitated MOT when they kept targets and distractors distinct, which interfered otherwise. However, if featural grouping is fully automatic, grouping benefits should disappear in displays that give rise to competing groupings (i.e., colour vs. shape). In this study, participants tracked four targets in 16 item displays. MOT performance with identical items was compared to that when each of the 16 items was a unique combination of four colours and shapes, which produced four colour and four shape groupings per display. In the Colour Share condition, the four targets had the same colour but differed in shape. In the Shape Share condition, the four targets had the same shape but differed in colour. In the No Share condition, the four targets shared neither a common colour nor a common shape. We found that even in the face of competing groupings, MOT was better when targets shared a common feature (Colour or Shape Share conditions) than when they did not (the No Share condition). Nonetheless, performance in the No Share condition was significantly superior to that for identical items. Thus, featural grouping is not the full story; item uniqueness benefits persist even in multidimensional displays where unique items are defined by a combination of different features.
Source: Vision Research
Authors: Rachel A. Eng, Jessica Swayze, Lana M. Trick
Institution: University of Guelph
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $2,940
Award: G3683529763
OpenAlex ID: W7140088462