Elderly text-entry performance on touchscreens

Nicolau, Hugo; Jorge, Joaquim

doi:10.1145/2384916.2384939

Cited by 75 publications

(42 citation statements)

References 15 publications

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“…In PwP, tremor appears mostly when the hand is at rest. Nicolau and Jorge [35] tested touchscreen keyboards with older people and concluded that the participants' tremor made more selection errors than the ones without. In another study, Wacharamanotham et al [50] reported that people with tremor have difficulties performing tap gestures and that for targets smaller than 41mm, swabbing -a gesture that consists of dragging the finger to a targetshould be used instead.…”

Section: Touchscreen Interaction Of Older Peoplementioning

confidence: 99%

User interface design guidelines for smartphone applications for people with Parkinson’s disease

Nunes

Silva

Cevada

et al. 2015

Univ Access Inf Soc

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Parkinson's disease (PD) is often responsible for difficulties in interacting with smartphones; however, research has not yet addressed these issues and how these challenge people with Parkinson's (PwP). This paper specifically investigates the symptoms and characteristics of PD that may influence the interaction with smartphones to then contribute in this direction. The research was based on a literature review of PD symptoms, eight semi-structured interviews with healthcare professionals and observations of PwP, and usability experiments with 39 PwP. Contributions include a list of PD symptoms that may influence the interaction with smartphones, a set of experimental results that evaluated the performance of four gestures tap, swipe, multiple-tap, and drag and 12 user interface design guidelines for creating smartphone user interfaces for PwP. Findings contribute to the work of re-

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Section: Touchscreen Interaction Of Older Peoplementioning

confidence: 99%

User interface design guidelines for smartphone applications for people with Parkinson’s disease

Nunes

Silva

Cevada

et al. 2015

Univ Access Inf Soc

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“…Leitão and Silva [10] used a custom "game" on a multi-touch smartphone to analyze the effects of target size and spacing on tapping and swiping tasks. Nicolau and Jorge [11] evaluated typing performance and typing patterns of 15 participants over the age of 65 using a virtual keyboard on a multitouch smartphone and tablet. Our goal was to build upon these works by observing and looking for specific challenges, stumbling points, and possible coping strategies employed by individual users.…”

Section: Elderly Users and Mobile Multi-touch Smartphones And Tabletsmentioning

confidence: 99%

“…On the other hand, there have also been works that sought to capture more concretely the patterns and tendencies of elderly users' interaction with mobile touchscreen devices through measurement and analysis of low-level interaction metrics such as task speed and accuracy [8][9][10][11][12][13]. Most of these works involved experiments in which the participants performed primitive actions such as tap or swipe gestures in isolation within their custom test applications.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Elderly User Behavior on Mobile Multi-touch Devices

Harada

Sato

Takagi

et al. 2013

Human-Computer Interaction – INTERACT 2013

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Abstract. Smartphones and tablet devices have been rapidly proliferating, and multi-touch interaction, powerful processors and rich array of sensors make these devices an attractive service platform for older users. While there is an increasing number of work investigating the issues that elderly users experience through their interaction with mobile devices, most have focused either on evaluation of low-level interaction characteristics or on qualitative survey. Therefore, we conducted a user study with 21 elderly participants to analyze the needs and issues faced by this user group under naturalistic usage scenarios. Specifically, we interviewed each participant about their experiences, had them perform various practical tasks using our custom testing application, and analyzed the operation logs using our custom visualizations. Based on our results, we summarize the types of issues observed, present design considerations for the applications studied, and future research directions.

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“…Past work has examined the effect of different technologies [4], age [5], motion [6], and a number of different devices [7] [8] when participants are typing words or phrases. While other research (e.g., [9], [10], [11]) has examined non-word strings of random letters, such research did not include the variety of numbers and special characters recommended for passwords, neither for desktop nor for mobile devices.…”

Section: Text Entrymentioning

confidence: 99%

I Can’t Type That! P@$$w0rd Entry on Mobile Devices

Greene

Gallagher

Stanton

et al. 2014

Lecture Notes in Computer Science

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Abstract. Given the numerous constraints of onscreen keyboards, such as smaller keys and lack of tactile feedback, remembering and typing long, complex passwords -an already burdensome task on desktop computing systems -becomes nearly unbearable on small mobile touchscreens. Complex passwords require numerous screen depth changes and are problematic both motorically and cognitively. Here we present baseline data on device-and agedependent differences in human performance with complex passwords, providing a valuable starting dataset to warn that simply porting password requirements from one platform to another (i.e., desktop to mobile) without considering device constraints may be unwise.

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Elderly text-entry performance on touchscreens

Cited by 75 publications

References 15 publications

User interface design guidelines for smartphone applications for people with Parkinson’s disease

User interface design guidelines for smartphone applications for people with Parkinson’s disease

Characteristics of Elderly User Behavior on Mobile Multi-touch Devices

I Can’t Type That! P@$$w0rd Entry on Mobile Devices

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