Effects of age and psychomotor ability on kinematics of mouse-mediated aiming movement

Cheong, Yuen-Keen; Shehab, Randa L.; Ling, Chen

doi:10.1080/00140139.2013.781682

Cited by 17 publications

(5 citation statements)

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“…In each hardware configuration group, we found a significant effect of Block on completion time MT (𝐹 3,45 = 11.9, 𝑝 < 0.0001 in the 800 cpi 122 dpi group, 𝐹 3,45 = 21.6, 𝑝 < 0.0001 in the 1000 cpi 93 dpi 9 https://cran.r-project.org/web/packages/ARTool/ group): MT in Block 0 (means 1034 and 1062 ms, respectively) are in both cases significantly different from the MT of Blocks 1, 2, and 3 (mean times 1021 ms and below in the 800 cpi 122 dpi group, 1035 and below in the 1000 cpi 93 dpi group). We found no significant effect of Block on Error rate.…”

Section: Data Pre-processing Our Main Dependent Measures Werementioning

confidence: 84%

“…[1,10,19,21,23,25,31]) which can make their replication impossible. Fortunately, several projects provide enough details about the input and output devices' resolution, operating system, and mouse configuration settings to allow exact replication of a transfer function [9,28,30,34,39,41]. Others [2,22,33] use the libpointing library developed to help define transfer functions and ease their replication.…”

Section: The Importance Of Accurately Reporting Pointing Conditionsmentioning

confidence: 99%

“…For Error and MT, statistical analyzes were performed using mixed-effect models with Block, Transfer Function, and Hardware as factors, and Participant treated as a random factor using the REML procedure of the SAS JMP package. For Re-entry and Error rate, because the normality assumption of the residuals was violated (Shapiro-Wilk p<0.001), we used an Aligned Rank Transform [40] using the ARTool package in R 9 and post-hoc analyses were done using ART-C [11]. Other post-hoc tests are all-pairwise comparisons using Tukey's HSD tests when there are more than two levels, and t-tests otherwise.…”

Section: Data Pre-processing Our Main Dependent Measures Werementioning

confidence: 99%

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Relevance and Applicability of Hardware-independent Pointing Transfer Functions

Hanada

Masson

Casiez

et al. 2021

The 34th Annual ACM Symposium on User Interface Software and Technology

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Pointing transfer functions remain predominantly expressed in pixels per input counts, which can generate different visual pointer behaviors with different input and output devices; we show in a first controlled experiment that even small hardware differences impact pointing performance with functions defined in this manner. We also demonstrate the applicability of "hardware-independent" transfer functions defined in physical units. We explore two methods to maintain hardware-independent pointer performance in operating systems that require hardware-dependent definitions: scaling them to the resolutions of the input and output devices, or selecting the OS acceleration setting that produces the closest visual behavior. In a second controlled experiment, we adapted a baseline function to different screen and mouse resolutions using both methods, and the resulting functions provided equivalent performance. Lastly, we provide a tool to calculate equivalent transfer functions between hardware setups, allowing users to match pointer behavior with different devices, and researchers to tune and replicate experiment conditions. Our work emphasizes, and hopefully facilitates, the idea that operating systems should have the capability to formulate pointing transfer functions in physical units, and to adjust them automatically to hardware setups. CCS CONCEPTS• Human-centered computing → Pointing.

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Section: Data Pre-processing Our Main Dependent Measures Werementioning

confidence: 84%

Section: The Importance Of Accurately Reporting Pointing Conditionsmentioning

confidence: 99%

Section: Data Pre-processing Our Main Dependent Measures Werementioning

confidence: 99%

See 1 more Smart Citation

Relevance and Applicability of Hardware-independent Pointing Transfer Functions

Hanada

Masson

Casiez

et al. 2021

The 34th Annual ACM Symposium on User Interface Software and Technology

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“…Nevertheless, although the reaction time of the M operator declines with age (Salthouse, 1984), the performance of the K operator, thought to be highly correlated with age, is in fact consistent across age groups (Cheong et al, 2013).…”

Section: Oir 391mentioning

confidence: 91%

Towards an automatic user profiling system for online information sites

Andrés

Pariente

González-Rodríguez

et al. 2015

Online Information Review

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Purpose -The purpose of this paper is to identify demographic differences based on how users interact with web applications. The research is needed to develop future systems able to adapt the representation of online information to the user's specific needs and preferences improving its usability. The following question guides this quest: is there a direct relationship between age and/or gender and interaction? Design/methodology/approach -GOMS (goals, operators, methods, and selection rules) analysis was used to reduce complex interaction tasks into basic operators like pointing, dragging, typing, etc. An experiment was designed to analyse the user performance in the use of these operators through five complex tasks: point-and-click, drag-and-drop, text selection, text edition and menu selection. The sample comprises 592 individuals which took part in the experiment. The performance was analysed using multivariate regression analysis. User laterality and the the user experience were used as control variables. Findings -The factors studied are significant enough to support user classification. The analysis evidenced that men performed significantly better than women when executing interaction pointing and dragging GOMS's operators, but no significant differences arose with regard to the performance in the typing operators. Older users performed worse in all the interaction tasks. No significant performance differences were detected between left and right-handed users.Research limitations/implications -The study pretends to lay the ground for developing artificial intelligence-based classification systems (e.g. neural networks, decision trees, etc.) able to detect significant differences in user performance, classifying users according to their age, gender and laterality. Practical implications -This user profiling would drive the organisation, selection and representation of the online information according to the specific preferences and needs of each user. This would allow the design of new personalisation algorithms able to perform dynamic adaptation of user interfaces in order to improve the usability of online information systems. Originality/value -This work extends previous research on user performance under a new approach and improved accuracy. First, it relies on the combined and simultaneous analysis of ageing and gender and the use of user laterality and experience as control variables. Second, the use of the GOMS analysis allowed the design of tests that closely resemble the user interaction in online

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“…This is the 35 usefulness of a methodological position which accepts causality: studies do not only provide associative rules, but they also inform future investigations of the phenomena by suggesting mechanisms for the association. Targeting these mechanisms with clever experimentation has been an immensely powerful methodological procedure for uncovering the inner workings of human mental life (Eysenck & Keane, 2005) An example of a study in which the authors have made clear the distinction between association and correlation concerns ageing effects on mouseaiming abilities (Cheong, Shehab, & Ling, 2013). The authors state that while age does have a negative correlative relationship with psychomotor ability, age should not be understood as the actual cause of decreased psychomotor ability, but as a surrogate for the actual causes.…”

Section: Behaviourismmentioning

confidence: 99%

Quick Affective Judgments

Jokinen

Silvennoinen

Perälä

et al. 2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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Esitetään Jyväskylän yliopiston informaatioteknologian tiedekunnan suostumuksella julkisesti tarkastettavaksi yliopiston Agora-rakennuksen auditoriossa 2 kesäkuun 6. päivänä 2015 kello 12.Academic dissertation to be publicly discussed, by permission of the Faculty of Information Technology of the University of Jyväskylä, in building Agora, auditorium 2, on June 6, 2015 at 12 o'clock noon. UNIVERSITY OF JYVÄSKYLÄ JYVÄSKYLÄ 2015User Researchers of human-technology interaction have started to emphasise the importance of technology users' experiences: experience is an important aspect of daily life, and thus it should be taken into account in human-technology interaction research and in design of new technologies. However, scientific study of conscious experience is difficult, and the field of user experience research is afflicted by incompatible definitions, assumptions, and guidelines for investigating users' experiences and designing for them. This problem is emphasised by the lack of foundational framework, which would allow for comparing the metascientific and methodological assumptions behind different accounts of user experience. Here, such an account is presented in the form of foundational analysis of human-technology interaction. The resulting methodological framework is used to review theories of user experience with a conclusion that while the topics investigated under the umbrella of user experience seem to be the correct ones, their operationalisation lacks proper psychological basis. As a result of the foundational analysis of user experience, one of the core concepts related to conscious experience, emotion, is introduced, and different psychological accounts for it are reviewed using the methodological framework. Appraisal theory of emotion is shown to provide methodologically the best option for studying emotional user experience. A review of empirical studies, included as the articles of this thesis, supports this conclusion. Emotional user experience is discussed in terms of (1) a competence-frustration model, (2) individual coping differences in human-technology interaction, (3) mental contents of emotional experience, and (4) the non-conscious cognitive processes associated with the appraisal process. These elaborations can be used to investigate what users experience emotionally when they interact with technology, and explain these experiences. Such investigations should provide valid knowledge structures for designers, who aim to create technologies with certain experience goals.Keywords: user experience, emotion, appraisal, mental content Author's address ACKNOWLEDGEMENTSAs I started my studies on emotion in human-technology interaction over four years ago, I wasn't that familiar with the topic, nor with the field of humantechnology interaction in general. What I've learned during my doctoral studies, and what I hopefully can teach to others, has not been achieved by myself alone, but with the help of multiple people: colleagues in academia, industrial partners, family members, study partic...

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Effects of age and psychomotor ability on kinematics of mouse-mediated aiming movement

Abstract: This paper presents empirical data showing age effects in movement kinematics are chiefly mediated by age-related changes in psychomotor ability. Our findings provide additional data for existing and newer performance enhancement solutions, especially for those targeting older adults.

Cited by 17 publications

References 50 publications

Relevance and Applicability of Hardware-independent Pointing Transfer Functions

Relevance and Applicability of Hardware-independent Pointing Transfer Functions

Towards an automatic user profiling system for online information sites

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