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Circumstances in Which Action Becomes Influential in an Action–Irrelevant Categorisation Tas PDF

455 Pages·2017·26.59 MB·English
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Rifles, Swords and Water Pistols: Circumstances in Which Action Becomes Influential in an Action–Irrelevant Categorisation Task Nicholas J. Shipp Submitted to the University of Hertfordshire in partial fulfilment of the requirements of the degree of PhD Submitted February 2017 Acknowledgements First and foremost, I thank every participant who took part in the research. Without your help, your time, and your patience, this thesis would be nothing more than unsupported ideas. To all my friends and family, I would like to thank you for your support and continued encouragement. Special thanks go to Amelia, Carine, Dan and Neil. You have all been a huge source of help over the years, encouraging me in both academic and non-academic matters. A very special thank you goes to Martin. You have supported (and put up with) me over the last 6 years and always pushed me to work harder. Thank you for helping de-stress me at times when I very much needed it. To mum, dad, Vicki and Alex, I thank you all for your continued, and unwavering, support and encouragement. My deepest gratitude goes to my supervisory team. To Fred, thank you very much for all the support you have given me over the years. Thank you for pushing me to stretch my academic skills, particularly with publishing the research. Your knowledge and teaching have made me a better researcher, and without you this thesis would certainly be lacking in commas. To Sue, you have now taught me through a BSc, MSc and a PhD, and I could not wish for a better supervisor. You have always challenged me to think in new ways and my skills as an academic are a testament to your tutelage over the years. You have supported me through the journey in many respects, and I look forward to our continued working together. Thank you for everything. 1 Table of Contents Published Work ........................................................................................................ 3 Abstract ..................................................................................................................... 5 Chapter 1 .................................................................................................................. 6 Chapter 2 ................................................................................................................ 54 Experiment 1 ...................................................................................................... 56 Experiment 2 ...................................................................................................... 69 Experiment 3 ...................................................................................................... 80 Experiment 4 ...................................................................................................... 85 Chapter 3 .............................................................................................................. 100 Experiment 5 .................................................................................................... 102 Chapter 4 .............................................................................................................. 114 Experiment 6 .................................................................................................... 116 Experiment 7 .................................................................................................... 129 Chapter 5 .............................................................................................................. 140 Experiment 8 .................................................................................................... 155 Chapter 6 .............................................................................................................. 184 Experiment 9 .................................................................................................... 186 Chapter 7 .............................................................................................................. 205 References ............................................................................................................. 234 Appendices ............................................................................................................ 246 2 Published Work Some of the material presented in this thesis has been published previously. Experiments 2, 4 and 6 have been presented at 2014 and 2016 annual conference of the Cognitive Science Society, and published in the conference proceedings. Experiments 1, 2 and 5 have also been presented at other conferences and are listed below. Publications Shipp, N. J., Vallée-Tourangeau, F., & Anthony, S. H. (2014). The context-dependent nature of action knowledge. In P. Bello, M. Guarani, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 2925-2930). Austin, TX: Cognitive Science Society. [Experiment 2, Chapter 2] Shipp, N. J., Vallée-Tourangeau, F., & Anthony, S. H. (2016a). Priming categorical choices through physical object interaction. In A. Papafragou, D. Grodner, D. Mirman, & J.C. Trueswell, (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 2153-2158). Austin, TX: Cognitive Science Society. [Experiment 6, Chapter 4] Shipp, N. J., Vallée-Tourangeau, F., & Anthony, S. H. (2016b). Shakers and maracas: Action-based categorisation choices in triads are influenced by task instructions. In A. Papafragou, D. Grodner, D. Mirman, & J.C. Trueswell, (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 2153-2158). Austin, TX: Cognitive Science Society. [Experiment 4, Chapter 2] Conference Presentations Shakers and maracas: Action-based categorisation choices in triads are influenced by task instructions. Presentation given at the 38th Annual Conference of the Cognitive Science Society, Philadelphia, PA, USA, 10th – 13th August 2016. [Experiment 4, Chapter 2] Priming categorical choices through physical object interaction. Poster presented at the 38th Annual Conference of the Cognitive Science Society, Philadelphia, PA, USA, 10th – 13th August 2016. [Experiment 6, Chapter 4] 3 Influencing categorical choices through physical object interaction. Presentation given at the 3rd International Conference on Interactivity, Language and Cognition, Kingston-upon-Thames, London, England, 29th June – 1st July 2016. [Experiment 6, Chapter 4] Looking at hands, objects or words? Tracking eye movements on an action based categorisation task. Poster presented at the 31st BPS Cognitive Psychology Section Conference, Nottingham, England, 3rd – 5th September 2014. [Experiment 5, Chapter 3] The context-dependent nature of action knowledge. Poster presented at the 36th Annual Conference of the Cognitive Science Society, Quebec City, Canada, 23rd – 26th July 2014. [Experiment 2, Chapter 2] Rifles, swords and water pistols: The role of action over taxonomic information in conceptual knowledge. Presentation given at the 1st International Conference on Interactivity, Language and Cognition, Odense, Denmark, 12th-14th September 2012. [Experiments 1 and 2, Chapter 2] 4 Abstract An assumption in Cognitive Psychology, which has been challenged in recent years, is that the systems responsible for action and perception work independently of one another. These systems work together during conceptual tasks and research has demonstrated that action knowledge can influence performance even when the task is ‘action-irrelevant’ (Borghi, 2004; Borghi, Flumini, Natraj & Wheaton, 2012; Creem & Proffitt, 2001; Tucker & Ellis, 1998, 2001). However, participants in such tasks are often only asked to make simple category judgements, such as natural versus man made. The research reported in this thesis has shown that, under certain conditions, participants use action knowledge to make ‘complex’ category choices in an action- irrelevant task. The experimental work has predominantly used the forced-choice triad task to assess the circumstances under which participants categorise objects based on shared actions. The triads were designed with a target object and two choice objects matching on either shared actions (rifle + water pistol), shared taxonomic relations (rifle + sword), or both (orange + banana). The context in which the objects were presented was also manipulated so that the objects were either presented on a white background (context-lean) or being used by an agent (context-rich). Participants were most likely to select the choice object that shared both a taxonomic and an action demonstrating that action has an ‘additive’ effect in categorical decisions. Presenting the objects being used by an agent in a functional scenario increased the saliency of the shared actions between the stimuli, and participants were more likely to select the action choice. The subsequent experimental work reported in the thesis sought to eliminate potential confounding variables including perceptual features, object typicality and task instructions. What the experimental work presented here has demonstrated is that action can influence decisions on more complex categories, and judgments of similarity. The research has identified three main circumstances under which knowledge of action becomes influential in the triad task designed for the purpose of this research as follows: (i) when it is presented in conjunction with taxonomic information, (ii) when it is presented with a context, and (iii) when participants are first asked to physically interact with the objects. 5 Chapter 1 The Role of Action in Cognition 6 Cognitive Psychology has traditionally taken the view that the systems responsible for perception and action act independently of one another. Recent research has shown that the two systems are not independent, but work together such that perception can have a direct influence on action responses (Creem & Proffitt, 2001; Ellis & Tucker, 2000; Tucker & Ellis, 1998, 2001, 2004). This has been shown to be the case in experiments where participants are asked to perform physical actions, as well as ‘action-irrelevant’ tasks in which action is not required for task performance (Borghi, 2004; Bub & Masson, 2006, 2010, 2012; Campanella & Shallice, 2011; Chao & Martin, 2000; Helbig, Graf & Keifer, 2006; Myung, Blumstein & Sedivy, 2006). While action has been shown to influence performance in a variety of cognitive tasks, the reported thesis is primarily aimed at how action influences categorical decisions. In categorising objects together, various sources can be drawn upon such as perceptual, taxonomic and thematic information. It has been further argued that concepts are developed around potential actions and that such information should represent an integral aspect of conceptual knowledge (Barsalou, 2008, 2016b; Franks & Braisby, 1997). It has been further argued that concepts are embedded within the modalities in which they were originally experienced, and as such are ‘grounded’ (Barsalou, 1999, 2003, 2008, 2016a, 2016b; Martin, 2016). In the case of artefacts, this directly refers to concepts represented within the motor cortex. While research has shown that action is influential in task performance, action has not previously been considered as a source of information used in categorical decisions. The thesis reports experimental evidence using the forced-choice triad task demonstrating (some of) the circumstances under which action is used as a source of commonality in categorising objects together. Chapter 1 outlines the previous literature that has informed the experimental work of the thesis, including experimental evidence demonstrating how action information influences performance across a variety of cognitive tasks. In addition, Chapter 1 outlines the theoretical framework in which the experimental results here are discussed (Simulation theory, Barsalou, 1999, 2003, 2008, 2016b). Chapter 2 reports the initial experimental work using the triad task to demonstrate the circumstances under which action is used to categorise objects. In particular, the experimental work tested the relative influence of action and taxonomic information; the effect of context and how the results are influenced by task instructions and object typicality. The experimental work reported in Chapter 2 showed how action is 7 influential, and used, within an action-irrelevant task to group objects together. In Chapter 3, eye-tracking software was used to determine which elements within the context-rich images used were most influential in selecting the action related choice item. In Chapter 4, the triad task was amended in order to test if action influence could be increased through using physical actions. Chapter 5 describes the analysis of the stimuli used in the experimental work. This is because the experimental work through the previous chapters shows that the influence of action is not consistent, and some of the triads are more likely to lead to action-based responses than others. In order to assess this, protocol analysis was used to investigate the strategies employed by participants in the triad task. Chapter 6 outlines the close theoretical relationship between categorisation and similarity (Rips, 1989), and how research has shown that there is a dissociation between the two processes (Braisby, 2004; Rips, 1989; Smith & Sloman, 1994). The aim of the work reported in Chapter 6 was to see if action showed the same pattern of influence on the evaluation of similarity using the same stimuli developed in Chapter 2, re-designed in the form of a similarity judgement task. Chapter 7 draws the thesis to a close and discusses the results from this programme of work within the framework of simulation theory (Barsalou, 1999, 2003, 2008). 8 1. Background Review Of Literature That Stimulated And Informed The New Work Reported In This Thesis. Chapter 1 outlines the experimental and theoretical research that has informed the work reported in this thesis. This includes research on categorisation, embodied cognition, context, and the role of action in experimental cognitive psychology. The literature discussed here has been broken down into the following sections: (i). The Relationship Between Action and Perception (ii). Physical Action Responses (iii). Action-Irrelevant Tasks (iv). Is Action Knowledge Automatic or Task Dependent? (v). Neurological Findings (vi). Volumetric and Functional Actions (vii). Actions in Object Recognition (viii). When is Action not Activated? (ix). The Role of Context (x). Actions in Context (xi). Actions as Features? (xii). Simulation Theory (xiii). Evidence for Simulation Theory (xiv). Extensions to Simulation Theory (xv). The Current research (xvi). The Task 1.1 The Relationship Between Action and Perception Traditional information-processing models (Massaro & Cowan, 1993; Simon, 1979) suggest that a visual stimulus is transduced into a series of representations that can serve a number of psychological functions forming the basis of physical actions. This assumes that stimuli are interpreted by the visual system before being analysed separately by the motor cortex in order to execute an action. Such a view assumes that concept knowledge is abstracted from real-world encounters and stored as amodal symbols, whereby the mechanisms involved in concept representations differ to those used in perception and action (Hampton, 1995; Machery, 2016; Mahon & Caramazza, 2008; Rosch, 1975; Rosch & Mervis, 1975). However, this does not allow for the 9

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colours with both functional and volumetric gestures. In the same manner as previously, participants in the test phase were shown the objects in varying colours and asked to make the gesture associated to the colour in the training phase. Across. Experiment's 4 and 5 (varying the proportion of cong
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