Aging, Motor Control, and the Performance of Computer Mouse Tasks

doi:10.1518/001872099779611102

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Aging, Motor Control, and the Performance of Computer Mouse Tasks

Journal Article•DOI•

Aging, Motor Control, and the Performance of Computer Mouse Tasks

Michael W. Smith¹, Joseph Sharit¹, Sara J. Czaja¹•Institutions (1)

University of Miami¹

01 Sep 1999-Human Factors (SAGE Publications)-Vol. 41, Iss: 3, pp 389-396

TL;DR: The data indicated that the older participants had more difficulty performing mouse tasks than the younger participants, and age-related changes in psychomotor abilities were related to age differences in performance.

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Abstract: Because of the increased presence of computers in work and everyday life and the demographic "graying" of America, there is a need for interface designs that promote accessibility for older people....

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Journal Article•DOI•

Self-report measures of medication adherence behavior: recommendations on optimal use

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Michael J. Stirratt¹, Jacqueline Dunbar-Jacob², Heidi M. Crane³, Jane M. Simoni³, Susan M. Czajkowski¹, Marisa E. Hilliard⁴, James E. Aikens⁵, Christine M. Hunter¹, Dawn I. Velligan⁶, Kristen Huntley¹, Gbenga Ogedegbe⁷, Cynthia S. Rand⁸, Eleanor Schron¹, Wendy Nilsen⁹ - Show less +10 more•Institutions (9)

National Institutes of Health¹, University of Pittsburgh², University of Washington³, Baylor College of Medicine⁴, University of Michigan⁵, University of Texas at San Antonio⁶, New York University⁷, Johns Hopkins University⁸, National Science Foundation⁹

09 Jul 2015-Translational behavioral medicine

TL;DR: Most evidence indicates that self-report medication adherence measures show moderate correspondence to other adherence measures and can significantly predict clinical outcomes, which is preferred when speed, efficiency, and low-cost measures are required, as the case in clinical care.

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Abstract: Medication adherence plays an important role in optimizing the outcomes of many treatment and preventive regimens in chronic illness. Self-report is the most common method for assessing adherence behavior in research and clinical care, but there are questions about its validity and precision. The NIH Adherence Network assembled a panel of adherence research experts working across various chronic illnesses to review self-report medication adherence measures and research on their validity. Self-report medication adherence measures vary substantially in their question phrasing, recall periods, and response items. Self-reports tend to overestimate adherence behavior compared with other assessment methods and generally have high specificity but low sensitivity. Most evidence indicates that self-report adherence measures show moderate correspondence to other adherence measures and can significantly predict clinical outcomes. The quality of self-report adherence measures may be enhanced through efforts to use validated scales, assess the proper construct, improve estimation, facilitate recall, reduce social desirability bias, and employ technologic delivery. Self-report medication adherence measures can provide actionable information despite their limitations. They are preferred when speed, efficiency, and low-cost measures are required, as is often the case in clinical care.

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516 citations

Journal Article•DOI•

A systematic review of patient acceptance of consumer health information technology.

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Calvin K. L. Or¹, Ben-Tzion Karsh²•Institutions (2)

City University of Hong Kong¹, University of Wisconsin-Madison²

01 Jul 2009-Journal of the American Medical Informatics Association

TL;DR: A systematic literature review was performed to identify variables promoting consumer health information technology (CHIT) acceptance among patients to improve understanding of patient CHIT acceptance, which could lead to better CHIT design and implementation.

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470 citations

Book Chapter•DOI•

Fat finger worries: how older and younger users physically interact with PDAs

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Katie A. Siek¹, Yvonne Rogers¹, Kay Connelly¹•Institutions (1)

Indiana University¹

12 Sep 2005

TL;DR: In this paper, the authors present an initial usability study that shows there are no major differences in performance between older and younger users when physically interacting with PDAs and completing conventional (e.g. pressing buttons, viewing icons, recording messages) and non-conventional tasks.

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Abstract: There has been a steady growth in the global population of elderly people, challenging researchers in the HCI community to design technologies to help them remain independent and preserve their quality of life. One approach has been to create assistive technology solutions using Personal Digital Assistants (PDAs). However, some have questioned whether older people can use PDAs because of age related problems with dexterity, coordination, and vision. This paper presents an initial usability study that shows there are no major differences in performance between older and younger users when physically interacting with PDAs and completing conventional (e.g. pressing buttons, viewing icons, recording messages) and non-conventional tasks (e.g. scanning bar codes).

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333 citations

Journal Article•DOI•

Aging barriers influencing mobile health usability for older adults: A literature based framework (MOLD-US)

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Gaby Anne Wildenbos¹, Linda W. P. Peute¹, Monique W. M. Jaspers¹•Institutions (1)

Public Health Research Institute¹

27 Mar 2018-International Journal of Medical Informatics

TL;DR: This research provides a novel framework for the exploration of aging barriers and their causes influencing mHealth usability in older adults and identifies a key need for future research on motivational barriers impeding mHealth use of older adults.

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231 citations

Book Chapter•DOI•

On some aspects of improving mobile applications for the elderly

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Andreas Holzinger¹, Gig Searle¹, Alexander K. Nischelwitzer²•Institutions (2)

Medical University of Graz¹, FH Joanneum²

22 Jul 2007

TL;DR: The main goal of this paper is to raise awareness amongst developers on which problems are to be taken into considerations during design and development of mobile applications for the elderly.

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Abstract: Improving the quality of life of elderly people is an emerging issue within our information society for both research and development This paper addresses some issues on the development of applications for mobile devices, which have been designed to enhance the quality of life of the growing number of elderly people, and how they can be made more acceptable to the target population We summarize some relevant issues in order to devise a research methodology to cover more than just the technological and physical aspects of user interfacing but also psychological and sociological aspects One aspect of achieving this aim is to confront designers and developers with those problems that the elderly face daily and which are not easily understood - especially by younger designers and developers Finally, we present some issues on how to simulate certain physical constraints of elderly by using the AgeSim, which is a simulation suit However, not only physical but also cognitive impairment cause problems amongst elderly and result in fear, anxiety and consequently in rejection The main goal of this paper is to raise awareness amongst developers on which problems are to be taken into considerations during design and development of mobile applications for the elderly

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209 citations

Cites background from "Aging, Motor Control, and the Perfo..."

...Various studies have found that older people have greater difficulty in using a mouse to track on a screen and that, even after some practice, their performance on a computer is generally slower [17]....
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References

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Open Access

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Journal Article•DOI•

Validity of the Trail Making Test as an Indicator of Organic Brain Damage

[...]

Ralph M. Reitan¹•Institutions (1)

Indiana University¹

01 Sep 1958-Perceptual and Motor Skills

7,207 citations

Journal Article•DOI•

[...]

Neff Walker¹, David A. Philbin¹, Arthur D. Fisk¹•Institutions (1)

Georgia Institute of Technology¹

01 Jan 1997-Journals of Gerontology Series B-psychological Sciences and Social Sciences

TL;DR: The study showed that all four factors, when isolated, are significantly different for the two age groups, however, in the task component where all factors could simultaneously affect performance, the age-related difference in performance was less than the difference in either the measure of noise-to-force ratio or perceptual efficiency.

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Abstract: In this experiment older and younger adults were compared on their ability to position a cursor with an electromechanical mouse. Distance of the movement, size of the target, and relative emphasis on the speed or accuracy of the movement were manipulated. The study was designed to isolate and evaluate the effects of age-related differences in the noise-to-force ratio, perceptual feedback efficiency, strategy differences, and the ability to produce force as explanations for age-related differences in movement control. This was done by using two types of movement tasks and by analyzing movement performance according to stages of movement. The study showed that all four factors, when isolated, are significantly different for the two age groups. However, in the task component where all factors could simultaneously affect performance, the age-related difference in performance was less than the difference in either the measure of noise-to-force ratio or perceptual efficiency. Analysis of the submovement structure revealed how older adults compensated for the greater noise and less perceptual efficiency by adjusting the velocity and number of submovements. These findings are discussed in light of the optimized submovement model.

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275 citations

"Aging, Motor Control, and the Perfo..." refers background or result in this paper

...In a study by Walker, Philbin, and Fisk (1997), older and younger participants performed a similar task; acceleration was fixed but a speed-accuracy payoff matrix was added in order to determine how strategy differences...
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...Similar to Walker et al. (1996) and Walker et al. (1997), this study examines the kinematic aspects of age differences in mouse performance....
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Journal Article•DOI•

A comparison of tactile, auditory, and visual feedback in a pointing task using a mouse-type device

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Motoyuki Akamatsu¹, I S MacKenzie², Thierry Hasbroucq³•Institutions (3)

Japanese Ministry of International Trade and Industry¹, University of Guelph², Centre national de la recherche scientifique³

01 Apr 1995-Ergonomics

TL;DR: It is argued that tactile feedback allows subjects to use a wider area of the target and to select targets more quickly once the cursor is inside the target.

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Abstract: A mouse was modified to add tactile feedback via a solenoid-driven pin projecting through a hole in the left mouse button. An experiment is described using a target selection task under five different sensory feedback conditions ('normal', auditory, colour, tactile, and combined). No differences were found in overall response times, error rates, or bandwidths; however, significant differences were found in the final positioning times (from the cursor entering the target to selecting the target). For the latter, tactile feedback was the quickest, normal feedback was the slowest. An examination of the spatial distributions in responses showed a peaked, narrow distribution for the normal condition, and a flat, wide distribution for the tactile (and combined) conditions. It is argued that tactile feedback allows subjects to use a wider area of the target and to select targets more quickly once the cursor is inside the target. Design considerations for human-computer interfaces are discussed.

...read moreread less

217 citations

Journal Article•DOI•

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Michaela Morgan¹, James G. Phillips, John L. Bradshaw, Jason B. Mattingley, Robert Iansek, Judy A. Bradshaw - Show less +2 more•Institutions (1)

Monash University, Clayton campus¹

01 May 1994-Journal of Gerontology

TL;DR: The results suggest a decline in motor coordination rather than any simple strategic preference for caution in movement and the hesitancy of movement to some extent parallels that seen in Parkinson's disease.

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Abstract: Background. While older adults typically exhibit slower hesitant movements, this may simply reflect a preference for a cautious movement strategy, rather than any pathological process.

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152 citations

"Aging, Motor Control, and the Perfo..." refers background or result in this paper

..., 1996), and that they make more submovements than younger adults (Morgan et al., 1994; Pohl et al., 1996). Studies that have examined age differences in the use of computer mice have found similar results regarding age differences in motor control. Riviere and Thakor (1996) found that older adults were less successful in performing a tracking task with a mouse than were younger adults; increased task difficulty resulted in greater age differences. Walker, Millians, and Worden (1996) compared older and younger participants on a basic target acquisition task using different levels of mouse gain acceleration....
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..., 1996), and that they make more submovements than younger adults (Morgan et al., 1994; Pohl et al., 1996). Studies that have examined age differences in the use of computer mice have found similar results regarding age differences in motor control. Riviere and Thakor (1996) found that older adults were less successful in performing a tracking task with a mouse than were younger adults; increased task difficulty resulted in greater age differences. Walker, Millians, and Worden (1996) compared older and younger participants on a basic target acquisition task using different levels of mouse gain acceleration. Older participants had more difficulty than younger participants, especially with smaller and more distant targets. Low acceleration aided older users, particularly for small targets. In a study by Walker, Philbin, and Fisk (1997), older and younger participants performed a similar task; acceleration was fixed but a speed-accuracy payoff matrix was added in order to determine how strategy differences Aging, Motor Control, and the Performance of Computer...
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...Submovements were counted as the number of times the curve crossed zero (Morgan et al., 1994)....
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...…during target acquisition indicates that older adults have more difficulty during deceleration (Pohl, Winstein, & Fisher, 1996) and closed-loop processing portions of movements (Teeken et al., 1996), and that they make more submovements than younger adults (Morgan et al., 1994; Pohl et al., 1996)....
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..., 1996), and that they make more submovements than younger adults (Morgan et al., 1994; Pohl et al., 1996). Studies that have examined age differences in the use of computer mice have found similar results regarding age differences in motor control. Riviere and Thakor (1996) found that older adults were less successful in performing a tracking task with a mouse than were younger adults; increased task difficulty resulted in greater age differences....
[...]

Journal Article•DOI•

Ability-performance relationships as a function of age and task experience for a data entry task

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Sara J. Czaja¹, Joseph Sharit•Institutions (1)

University of Miami¹

01 Jan 1998-Journal of Experimental Psychology: Applied

95 citations

"Aging, Motor Control, and the Perfo..." refers methods in this paper

...These measures were chosen because prior research has shown that they have relevance to computer task performance (Czaja & Sharit, 1998) and potential relevance to the ability to use a mouse....
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