Optimizing the usability of automated teller machines for older adults

“…For example, Coley, Wright, Park, et al conducted a study in which 40 subjects, 18-65 years old, interacted with three different ATM simulations [9]. However, the authors only assessed the level of detail available on the screen and font colour, not the ATM dimensions or their suitability for users.…”

Section: Introductionmentioning

confidence: 99%

An Ergonomics Evaluation of Certain ATM Dimensions

Al-Saleh

Bendak

2013

International Journal of Occupational Safety and Ergonomics

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“…As a result of these developments, much academic research has been undertaken to investigate the adoption and acceptance of ATMs from a consumer perspective. For example, many studies investigated how elderly people use ATM machines and how demographics influence the utilization of ATMs (Zeithaml and Gilly 1987;Coley, Wright et al 1997;Lake, Mehta et al 1998;Antonides, Amesz et al 1999). These studies confirmed that few elderly used ATMs, virtually all of whom stated convenience as the reason (Zeithaml and Gilly 1987;Coley, Wright et al 1997;Lake, Mehta et al 1998;Antonides, Amesz et al 1999).…”

Section: Automated Teller Machinesmentioning

confidence: 96%

“…For example, many studies investigated how elderly people use ATM machines and how demographics influence the utilization of ATMs (Zeithaml and Gilly 1987;Coley, Wright et al 1997;Lake, Mehta et al 1998;Antonides, Amesz et al 1999). These studies confirmed that few elderly used ATMs, virtually all of whom stated convenience as the reason (Zeithaml and Gilly 1987;Coley, Wright et al 1997;Lake, Mehta et al 1998;Antonides, Amesz et al 1999). In contrast, the majority of the elderly non-adopters seemed skeptical of ATMs and preferred their usual way of banking.…”

Section: Automated Teller Machinesmentioning

confidence: 99%

“…In contrast, the majority of the elderly non-adopters seemed skeptical of ATMs and preferred their usual way of banking. These individuals enjoyed interacting with the human teller and were not willing to bank via ATMs if they could continue with the traditional face-to-face encounter (Zeithaml and Gilly 1987;Coley, Wright et al 1997;Lake, Mehta et al 1998;Antonides, Amesz et al 1999).…”

Section: Automated Teller Machinesmentioning

confidence: 99%

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Consumer Intentions to Use Electronic Banking Channels: The Role of Task-Channel Fit

Hoehle¹

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<p>The increase in electronically mediated self-service technologies in the banking industry is changing the way banks service consumers. Despite a large body of research on electronic banking channels, no study has been undertaken to explore the importance of the fit between electronic banking channels and banking tasks. Nor has there been research into how task-channel fit and other factors influence consumer intentions to use electronic banking channels. Integrating task-technology fit theory with acceptance and adoption research, this research develops and tests a research model that explains how the task-channel fit (TCF) and other factors impact on consumers' intentions to use electronic banking channels. An exploratory study was first conducted, investigating industry experts' perceptions towards the concept of task-channel fit of electronic banking channels. The findings demonstrate that the concept was perceived as being highly relevant by bank managers. A research model was then developed drawing on the existing literature on electronic banking channels. Following this, five exploratory focus groups were conducted in order to assess the initial conceptualization of the research model. Subsequently, a survey questionnaire instrument was developed using judgment rounds and two pretest evaluations. Central to the scale development was the measurement of the TCF construct. Drawing on IS strategy and alignment literatures, a parallel instrument was created in order to determine TCF across several unique dimensions. A pilot study assessed responses from 280 consumers using Internet banking for two different banking tasks. Overall, the scales demonstrated high reliability and showed adequate construct validity. The analysis of the pilot study suggested that the TCF construct and other antecedents of consumer intentions to use Internet banking explained a substantial amount of variance in the dependent variable. The scales were refined in light of the pilot study. In the main study, 340 responses were collected from consumers using Internet banking for account inquiries or financial loans. The results showed that the TCF construct was a strong predictor of consumers' perceptions on the usefulness of Internet banking and their attitudes towards these services for both banking tasks. Overall, the TCF construct and other identified variables accounted for at least 63% of variance in the dependent variable.</p>

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“My Money in E-Purse” Searching Problems in Self Service User Interface

Kılıç

Human-Computer Interaction. HCI Applications and Services

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Optimizing the usability of automated teller machines for older adults

Cited by 6 publications

References 1 publication

An Ergonomics Evaluation of Certain ATM Dimensions

An Ergonomics Evaluation of Certain ATM Dimensions

Consumer Intentions to Use Electronic Banking Channels: The Role of Task-Channel Fit

“My Money in E-Purse” Searching Problems in Self Service User Interface

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