Contextual Design for driving: Developing a trip-planning tool for older adults

Payyanadan, Rashmi P.; Gibson, Madeleine; Chiou, Erin K.; Ghazizadeh, Mahtab; Lee, John D.

doi:10.1016/j.trf.2016.08.005

Cited by 12 publications

(3 citation statements)

References 39 publications

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“…Work by Zhang and Levinson [28] showed that compared to younger drivers, older drivers tend to prefer routes with similar trip attributes such as travel time, distance, traffic delays, and speed limits for commuting to events and visiting friends and family, but not for shopping and recreational trips. Furthermore, compared to younger drivers, older drivers prefer to drive routes that they are familiar with because familiarity with the route increased recall of the environment and its objects [29], and reduced the likelihood of getting lost [30].…”

Section: Introductionmentioning

confidence: 99%

Representing Route Familiarity Using the Abstraction Hierarchy Framework

Payyanadan

Lee

2021

Geriatrics

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Familiarity with a route is influenced by levels of dynamic and static knowledge about the route and the route network such as type of roads, infrastructure, traffic conditions, purpose of travel, weather, departure time, etc. To better understand and develop route choice models that can incorporate more meaningful representations of route familiarity, OBDII devices were installed in the vehicles of 32 drivers, 65 years and older, for a period of three months. Personalized web-based trip diaries were used to provide older drivers with post-trip feedback reports about their risky driving behaviors, and collect feedback about their route familiarity, preferences, and reasons for choosing the route driven vs. an alternate low-risk route. Feedback responses were analyzed and mapped onto an abstraction hierarchy framework, which showed that among older drivers, route familiarity depends not only on higher abstraction levels such as trip goals, purpose, and driving strategies, but also on the lower levels of demand on driving skills, and characteristics of road type. Additionally, gender differences were identified at the lower levels of the familiarity abstraction model, especially for driving challenges and the driving environment. Results from the analyses helped highlight the multi-faceted nature of route familiarity, which can be used to build the necessary levels of granularity for modelling and interpretation of spatial and contextual route choice recommendation systems for specific population groups such as older drivers.

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Section: Introductionmentioning

confidence: 99%

Representing Route Familiarity Using the Abstraction Hierarchy Framework

Payyanadan

Lee

2021

Geriatrics

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“…One of the few studies from the perspective of the older driver used a Contextual Inquiry approach to show that urban older drivers had more safety concerns related to traffic situations, and other drivers on the road not adhering to the rules but were less fearful of driving cessation due to the availability of alternate transportation options; whereas, rural older drivers were challenged by poor road infrastructure, and feared driving cessation due to lack of alternate transportation options [27]. Johnson [28] conducted a questionnaire study that also included semi-structured interviews to understand the decision to cease driving among rural older drivers.…”

Section: Introductionmentioning

confidence: 99%

Challenges for Older Drivers in Urban, Suburban, and Rural Settings

2018

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Along with age-related factors, geographical settings—urban, suburban, and rural areas—also contribute to the differences in fatal crashes among older drivers. These differences in crash outcomes might be attributed to the various driving challenges faced by older drivers residing in different locations. To understand these challenges from the perspective of the older driver, a focus group study was conducted with drivers 65 and older from urban, suburban, and rural settings. Guided-group interviews were used to assess driving challenges, mobility options, opportunities for driver support systems (DSS), and alternate transportation needs. Content analysis of the interview responses resulted in four categories representing common challenges faced by older drivers across the settings: behavior of other drivers on the road, placement of road signs, reduced visibility of road signs due to age-related decline, and difficulties using in-vehicle technologies. Six categories involved location-specific challenges such as heavy traffic situations for urban and suburban drivers, and multi-destination trips for rural drivers. Countermeasures implemented by older drivers to address these challenges primarily involved route selection and avoidance. Technological advances of DSS systems provide a unique opportunity to support the information needs for route selection and avoidance preferences of drivers. Using the content analysis results, a framework was built to determine additional and modified DSS features to meet the specific challenges of older drivers in urban, suburban, and rural settings. These findings suggest that there is heterogeneity in the driving challenges and preferences of older drivers based on their location. Consequently, DSS technologies and vehicle automation need to be tailored to not only meet the driving safety and mobility needs of older drivers as a population, but also to their driving environment.

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“…Previous research has demonstrated that the presence of passengers in the car with older adult drivers can have a beneficial and even protective effect. Payyanadan, Gibson, Chiou, Ghazizadeh, and Lee (2017) specifically demonstrated that passengers may assist older adults with various driving tasksyyand (Payyanadan et al, 2017). For example, when older adults had a spouse or friend in the car, the passenger assisted in planning the trip, navigating, and informing the driver of turns and the presence of others on the road.…”

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confidence: 99%

The Context of Caution: An Examination of Age, Social Context, and Sex on Measures of Inhibitory Control and Risky Decision-Making

Cowell

Paitel

Peters

2019

Int J Aging Hum Dev

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Understanding how older adults successfully navigate complex choices like driving requires the consideration of processing speed, inhibitory control, attentional processes, and risk management, and the context within which these decisions occur. The current study employed the Flanker task, the Stoplight task, and a personality inventory with 43 younger adults and 49 older adults either while they were alone or being observed by two same-sex, similarly aged peers. On the Flanker task, older adults performed more slowly, but with comparable accuracy. On the Stoplight task, there was a significant main effect of Context, and an Age-Group by Sex interaction, even after controlling for response time: All groups had a greater number of crashes when alone, and young adult males had significantly more crashes than any other group. These results emphasize the importance of considering the broader context of decision-making.

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Contextual Design for driving: Developing a trip-planning tool for older adults

Cited by 12 publications

References 39 publications

Representing Route Familiarity Using the Abstraction Hierarchy Framework

Representing Route Familiarity Using the Abstraction Hierarchy Framework

Challenges for Older Drivers in Urban, Suburban, and Rural Settings

The Context of Caution: An Examination of Age, Social Context, and Sex on Measures of Inhibitory Control and Risky Decision-Making

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