Visual search for category sets: Tradeoffs between exploration and memory

被引:14
|
作者
Kibbe, Melissa M. [1 ,2 ]
Kowler, Eileen [1 ,2 ]
机构
[1] Rutgers State Univ, Dept Psychol, Piscataway, NJ 08854 USA
[2] Rutgers State Univ, Ctr Cognit Sci, Piscataway, NJ 08854 USA
来源
JOURNAL OF VISION | 2011年 / 11卷 / 03期
关键词
visual search; active vision; memory; exploration; eye movements; saccades; arm movement; immediate memory; oculomotor; categorization; cognitive load; decision-making; SHORT-TERM-MEMORY; WORKING-MEMORY; EYE-MOVEMENTS; OBJECTS; TASKS; REPRESENTATIONS; INFORMATION; EFFICIENT; CAPACITY; GUIDANCE;
D O I
10.1167/11.3.14
中图分类号
R77 [眼科学];
学科分类号
100212 ;
摘要
Limitations of working memory force a reliance on motor exploration to retrieve forgotten features of the visual array. A category search task was devised to study tradeoffs between exploration and memory in the face of significant cognitive and motor demands. The task required search through arrays of hidden, multi-featured objects to find three belonging to the same category. Location contents were revealed briefly by either a: (1) mouseclick, or (2) saccadic eye movement with or without delays between saccade offset and object appearance. As the complexity of the category rule increased, search favored exploration, with more visits and revisits needed to find the set. As motor costs increased (mouseclick search or oculomotor search with delays) search favored reliance on memory. Application of the model of J. Epelboim and P. Suppes (2001) to the revisits produced an estimate of immediate memory span (M) of about 4-6 objects. Variation in estimates of M across category rules suggested that search was also driven by strategies of transforming the category rule into concrete perceptual hypotheses. The results show that tradeoffs between memory and exploration in a cognitively demanding task are determined by continual and effective monitoring of perceptual load, cognitive demand, decision strategies and motor effort.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] User Exploration of Search Space Using Tradeoffs
    Baharav, Zachi
    Gladstein, David S.
    HCI INTERNATIONAL 2015 - POSTERS' EXTENDED ABSTRACTS, PT II, 2015, 529 : 643 - 647
  • [2] Visual search by action category
    van Boxtel, Jeroen J. A.
    Lu, Hongjing
    JOURNAL OF VISION, 2011, 11 (07):
  • [3] Category effects in temporal visual search
    Taylor, TL
    Hamm, J
    CANADIAN JOURNAL OF EXPERIMENTAL PSYCHOLOGY-REVUE CANADIENNE DE PSYCHOLOGIE EXPERIMENTALE, 1997, 51 (01): : 36 - 46
  • [4] CATEGORY EFFECT IN VISUAL-SEARCH
    DEUTSCH, JA
    PERCEPTION & PSYCHOPHYSICS, 1977, 21 (06): : 590 - 592
  • [5] THE CATEGORY EFFECT IN VISUAL-SEARCH - IS FASTER MIXED-CATEGORY SEARCH DUE TO THE PRIMING OF CATEGORY INFORMATION
    BOYDWILSON, BM
    WHITE, MJ
    BULLETIN OF THE PSYCHONOMIC SOCIETY, 1991, 29 (05) : 403 - 406
  • [6] PROCESSING DIFFERENCES BETWEEN MEMORY-SEARCH AND FOVEAL VISUAL-SEARCH
    GAGNON, M
    CAVANAGH, P
    LAURENCELLE, L
    PERCEPTION & PSYCHOPHYSICS, 1978, 23 (03): : 258 - 260
  • [7] Finding memory in search: The effect of visual working memory load on visual search
    Emrich, Stephen M.
    Al-Aidroos, Naseem
    Pratt, Jay
    Ferber, Susanne
    QUARTERLY JOURNAL OF EXPERIMENTAL PSYCHOLOGY, 2010, 63 (08): : 1457 - 1466
  • [8] Visual exploration of large data sets
    Livny, M
    Ramakrishnan, R
    Myllymaki, J
    HUMAN VISION AND ELECTRONIC IMAGING, 1996, 2657 : 263 - 274
  • [9] Visual exploration of large data sets
    Keim, D
    COMMUNICATIONS OF THE ACM, 2001, 44 (08) : 38 - 44
  • [10] Visual exploration of large data sets
    Keim, Daniel A.
    2001, Association for Computing Machinery (44)