How do children adapt strategies when drawing on a tablet?

Shukri, Siti Rohkmah Mohd; Howes, Andrew

doi:10.1145/2559206.2581278

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…Instead, investigations have focused on specific aspects of use, such as education (e.g., Jahnke, Svendsen, Johansen, & Zander, 2014), healthcare (e.g., Lin et al, 2013), touch and gestures (e.g., Kleimola, Laine, Litvinova, & Vuorimaa, 2013), and the use of styli (e.g., Badam, Chandrasegaran, Elmqvist, & Ramani, 2014). Further, only specific populations have been studied, such as children (e.g., Mohd Shukri & Howes, 2014), students (e.g., Bryfczynski, Pargas, Cooper, & Klymkowsky, 2012), those with autism (e.g., Hourcade, Williams, Miller, Huebner, & Liang, 2013), health care providers (e.g., Li & Alem, 2013), patients (e.g., Jacobs, Clawson, & Mynatt, 2014), and office workers (e.g., Stawarz, Cox, Bird, & Benedyk, 2013). Other research has focused on specific behaviors, such as search (e.g., Song, Ma, Wang, & Wang, 2013), programming (e.g., Fagen & Kamin, 2013), and personal information management (e.g., Buttfield-Addison, Lueg, Ellis, & Manning, 2012) rather than a broader exploration of all activities.…”

Section: Related Workmentioning

confidence: 99%

Understanding and Comparing Smartphone and Tablet Use

Müller

Gove

Webb

et al. 2015

Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

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In recent years, smartphone and tablet ownership has shown continued growth; however, there is a lack of research thoroughly investigating the use of these devices within the general public. This paper describes a largescale diary study with U.S. mobile device owners, examining details of smartphone and tablet use. Results provide a comprehensive breakdown of frequent activities and contexts of use, highlighting key differences in smartphone and tablet use. Activities on smartphones were found to be dominated by communication needs, while tablets were frequently used for consumption and entertainment. Both devices were most often used at home, with tablets rarely leaving the home. Within the home, smartphones were used mostly in the bedroom, and tablets in the living room. Both devices were used frequently while doing something else, such as using tablets primarily while watching TV. Conclusions discuss implications for enriching the experience of mobile devices and opportunities for future research.

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Section: Related Workmentioning

confidence: 99%

Understanding and Comparing Smartphone and Tablet Use

Müller

Gove

Webb

et al. 2015

Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction

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“…Mohd Shukri & Howes (2014), the idea was to see how children adapt to the reward conditions when tracing trajectories through the dots on touch screen surfaces using the tip of their finger or a pen. In the next section, I explain in detail about reward as the motivational context of action.…”

Section: Introductionmentioning

confidence: 99%

“…To make the task interesting to children, join-the-dots task was introduced in Study 1. Following MohdShukri & Howes (2014), the idea was to see how children adapt to the reward conditions when tracing trajectories through the dots on touch screen surfaces using the tip of children's finger or a pen. The experiment provided encouraging evidence that children do adjust their drawing actions to the reward conditions.…”

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confidence: 99%

Children adapt drawing actions to their own motor variability and to the motivational context of action

Shukri

Howes

2019

International Journal of Human-Computer Studies

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Past work on children's drawing from the "process oriented" approach focused more on how children draw without considering what and why they draw. Both what and why under the "product oriented" approach need to complement the question of how in order to understand children's drawing behaviour better. The work of this thesis focuses on the"process oriented" approach that deals with the motor process of children's drawing without neglecting the importance of the "product oriented" approach.This thesis seeks a better understanding on psychological processes involved in drawing and drawing development in children to study their drawing behaviour. This is why the thesis is reviewed under the theoretical framework of Adaptive Interaction. This framework (Chapter 2: Background and Theoretical Framework) studies children's drawing through a utility maximization approach that derives its explanatory power from three components of human behaviour; ecology, utility and information processing mechanisms.As such, it raises the following questions: (1)"How would children draw on a tablet given that they have cognitive and motor limitations?"; (2)"Why would children draw on a tablet given that there are limitations on tablet and drawing software?" The framework helps to provide an explanatory and predictive account of children's adaptation of drawing strategies on a tablet. The empirical work of the framework is conducted to answer the following research questions: (1)"How do children adapt their drawing strategies according to their own motor variability and to the limitations of tablet and drawing application?";(2)"How do a child adapt to the drawing actions according to his/her own motor variability?"; and (3)"Does adaptation to motor variability explain age-related changes in drawing performance?";To answer these questions, I conducted empirical studies (Chapter 3 to 6) to examine how children adapt their drawing actions to their own motor variability and to extrinsic motivations (rewards). My study consisted of drawing tasks that tested the model of movement planning based on the Statistical Decision Theory. The idea was to see how children act as ideal drawing planners when choosing movement trajectories on touch surfaces. I derived predictions of the hypothesis from children's drawing on a touch screen with regions carrying reward and penalties. When a penalty region is placed near to a target region, adults are known to alter their motor plan. In particular, they shift their aim point to avoid the penalty region. The model predicts shifts in subjects aim point in response to changes of reward and penalty structures within the drawing environment.The result of my studies show that children make near optimal adaptation to subjective rewards, their own cognitive and motor limitations and to the limitations of tablet and tablets drawing software. The work reported here shows that a child's strategies for drawing on a tablet can be understood as a Bayesian adaptation to movement variability, motivation and limitations of the...

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