Adapting to the surface: A comparison of handwriting measures when writing on a tablet computer and on paper

Gerth, Sabrina; Dolk, Thomas; Klassert, Annegret; Fliesser, Michael; Fischer, Martin H.; Nottbusch, Guido; Festman, Julia

doi:10.1016/j.humov.2016.04.006

Cited by 40 publications

(50 citation statements)

References 26 publications

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“…These issues should be considered in relation to the use of stylus-equipped digital tablets for the teaching and learning of writing gestures by beginning writers. Some studies have shown that because it involves less friction than a sheet of paper, writing on a tablet can disrupt the control strategies of young children (Alamargot & Morin, 2015) and, to a lesser extent, those of adults (Gerth et al 2016). To our knowledge, only one recent study has so far explored the impact of extrinsic feedback on 4 year-old preschoolers learning to write uppercase letters with pencil and paper or on a tablet with a stylus or finger.…”

Section: Digital Tablet Apps For Learning To Writementioning

confidence: 99%

“…In the particular case of handwriting on a tablet, the processing of perceptual and motor information may be disturbed by the nature of the medium (Alamargot & Morin, 2015;Gerth et al, 2016) and the writing instrument (Patchan & Puranik, 2016). However, these studies only evaluated the impact of the medium in a short session, thus making it impossible to consider the children's ability to adapt their motor strategy over a longer period.…”

Section: The Current Studymentioning

confidence: 99%

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Can tablet apps support the learning of handwriting? An investigation of learning outcomes in kindergarten classroom

Bonneton-Botté

Fleury

Girard

et al. 2020

Computers & Education

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Digital technologies are increasingly being used to support school learning, but few studies have assessed the effectiveness of these new teaching methods for very young students. The aim of the present study was to assess the impact of implementing a digital notebook application designed for a stylus-oriented tablet in kindergarten classrooms. This digital notebook was dedicated to the acquisition of handwriting skills by beginning writers. Using artificial intelligence to finely analyze the spatiotemporal characteristics of handwriting (i.e., shape, order and direction of the segments), the exercises were personalized, and extrinsic feedback was delivered at the end of each trial to inform learners of their results. A total of 22 kindergarten classes participated in a 12-week teacher-implemented program, half working exclusively with paper and pencil, and half partially undertaking their handwriting training with the digital notebook. A paper-and-pen writing task was administered as a pre-test and post-test to assess the progress of all the children. Data analysis showed that learning outcomes with the digital notebook were contingent upon the students' initial handwriting level, as the benefits of training with the app were only demonstrated for children with a medium level at the start of the study. The results are discussed in the light of the literature on the impact of extrinsic feedback and learners' initial levels.

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Section: Digital Tablet Apps For Learning To Writementioning

confidence: 99%

Section: The Current Studymentioning

confidence: 99%

Can tablet apps support the learning of handwriting? An investigation of learning outcomes in kindergarten classroom

Bonneton-Botté

Fleury

Girard

et al. 2020

Computers & Education

View full text Add to dashboard Cite

show abstract

“…They are often included in biometric verification systems [30], as well as used as a criterion in forensic examinations through fluidity, shading and line quality evaluations. Inversions in velocity (NIV) [31] are often used in movement and neuroscience to determine motor control, movement efficiency and automation. Teulings et al [32] use the timeintegrated squared jerk to characterize smoothness of movement.…”

Section: Dynamic Feature Variation and Discriminative Powermentioning

confidence: 99%

“…Writing conditions on paper and digitizer are quite different [111][112][113], as the surface of the digitizers is smoother and there is less friction between pen and surface [31]. As a result, pen movement on this surface may be perceived as 'slippery' or 'too fast' and may require adaptation of the signature movements to the new substrate.…”

Section: Hardware-related Conditionsmentioning

confidence: 99%

“…Gerth et al [31] pursued this experiment with an adult population, comparing paper and ballpoint with plastic pen and tablet surface conditions. Results indicate that adult writers are also influenced by the tablet surface and tend to increase the pen pressure, letter size and writing speed to compensate for the different surface type.…”

Section: Hardware-related Conditionsmentioning

confidence: 99%

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Dynamic signatures: A review of dynamic feature variation and forensic methodology

Linden

Marquis

Bozza

et al. 2018

Forensic Science International

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This article focuses on dynamic signatures and their features. It provides a detailed and critical review of dynamic feature variations and circumstantial parameters affecting dynamic signatures. The state of the art summarizes available knowledge, meant to assist the forensic practitioner in cases presenting extraordinary writing conditions. The studied parameters include hardware-related issues, aging and the influence of time, as well as physical and mental states of the writer. Some parameters, such as drug and alcohol abuse or medication, have very strong effects on handwriting and signature dynamics. Other conditions such as the writer's posture and fatigue have been found to affect feature variation less severely. The need for further research about the influence of these parameters, as well as handwriting dynamics in general is highlighted. These factors are relevant to the examiner in the assessment of the probative value of the reported features. Additionally, methodology for forensic examination of dynamic signatures is discussed. Available methodology and procedures are reviewed, while pointing out major technical and methodological advances in the field of forensic handwriting examination. The need for sharing the best practice manuals, standard operating procedures and methodologies to favor further progress is accentuated.

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Non‐Original and Digitally Captured Handwriting: Considerations for Forensic Handwriting Examinations

Jones,

Bird

2024

WIREs Forensic Science

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Non‐original handwriting and signatures are commonly encountered in the forensic environment. Non‐original handwriting could be the product of a reproduction, or originally executed writing that has been digitally recorded or captured. Forensic handwriting examiners (FHEs) are required to take into consideration several limiting factors when expressing opinions regarding apparent similarities and/or dissimilarities when examining non‐original samples of writing. Handwriting that has been digitally captured has a unique set of limitations but could also have additional, useful features such as dynamic measurements that, under certain conditions, can contribute to the comparison. This article is an overview of the rationale for the special treatment and thought afforded to non‐original and digitally captured writing during a handwriting or signature examination and comparison process and is intended to guide the thought process and considerations required by FHEs when encountering this type of material.

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Adapting to the surface: A comparison of handwriting measures when writing on a tablet computer and on paper

Cited by 40 publications

References 26 publications

Can tablet apps support the learning of handwriting? An investigation of learning outcomes in kindergarten classroom

Can tablet apps support the learning of handwriting? An investigation of learning outcomes in kindergarten classroom

Dynamic signatures: A review of dynamic feature variation and forensic methodology

Non‐Original and Digitally Captured Handwriting: Considerations for Forensic Handwriting Examinations

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