Crosswords to computers: a critical review of popular approaches to cognitive enhancement.

Cognitive enhancement strategies have gained recent popularity and have the potential to benefit clinical and non-clinical populations. As technology advances and the number of cognitively healthy adults seeking methods of improving or preserving cognitive functioning grows, the role of electronic (e.g., computer and video game based) cognitive training becomes more relevant and warrants greater scientific scrutiny. This paper serves as a critical review of empirical evaluations of publically available electronic cognitive training programs. Many studies have found that electronic training approaches result in significant improvements in trained cognitive tasks. Fewer studies have demonstrated improvements in untrained tasks within the trained cognitive domain, non-trained cognitive domains, or on measures of everyday function. Successful cognitive training programs will elicit effects that generalize to untrained, practical tasks for extended periods of time. Unfortunately, many studies of electronic cognitive training programs are hindered by methodological limitations such as lack of an adequate control group, long-term follow-up and ecologically valid outcome measures. Despite these limitations, evidence suggests that computerized cognitive training has the potential to positively impact one's sense of social connectivity and self-efficacy.

Naturalistic assessment of everyday activities and prompting technologies in mild cognitive impairment.

Older adults with mild cognitive impairment (MCI) often have difficulty performing complex instrumental activities of daily living (IADLs), which are critical to independent living. In this study, amnestic multi-domain MCI (N = 29), amnestic single-domain MCI (N = 18), and healthy older participants (N = 47) completed eight scripted IADLs (e.g., cook oatmeal on the stove) in a smart apartment testbed. We developed and experimented with a graded hierarchy of technology-based prompts to investigate both the amount of prompting and type of prompts required to assist individuals with MCI in completing the activities. When task errors occurred, progressive levels of assistance were provided, starting with the lowest level needed to adjust performance. Results showed that the multi-domain MCI group made more errors and required more prompts than the single-domain MCI and healthy older adult groups. Similar to the other two groups, the multi-domain MCI group responded well to the indirect prompts and did not need a higher level of prompting to get back on track successfully with the tasks. Need for prompting assistance was best predicted by verbal memory abilities in multi-domain amnestic MCI. Participants across groups indicated that they perceived the prompting technology to be very helpful.

Application of cognitive rehabilitation theory to the development of smart prompting technologies.

Older adults with cognitive impairments often have difficulty performing instrumental activities of daily living (IADLs). Prompting technologies have gained popularity over the last decade and have the potential to assist these individuals with IADLs in order to live independently. Although prompting techniques are routinely used by caregivers and health care providers to aid individuals with cognitive impairment in maintaining their independence with everyday activities, there is no clear consensus or gold standard regarding prompt content, method of instruction, timing of delivery, or interface of prompt delivery in the gerontology or technology literatures. In this paper, we demonstrate how cognitive rehabilitation principles can inform and advance the development of more effective assistive prompting technologies that could be employed in smart environments. We first describe cognitive rehabilitation theory (CRT) and show how it provides a useful theoretical foundation for guiding the development of assistive technologies for IADL completion. We then use the CRT framework to critically review existing smart prompting technologies to answer questions that will be integral to advancing development of effective smart prompting technologies. Finally, we raise questions for future exploration as well as challenges and suggestions for future directions in this area of research.

Reactions to a remote-controlled video-communication robot in seniors' homes: a pilot study of feasibility and acceptance.

OBJECTIVE: Remote telepresence provided by tele-operated robotics represents a new means for obtaining important health information, improving older adults' social and daily functioning and providing peace of mind to family members and caregivers who live remotely. In this study we tested the feasibility of use and acceptance of a remotely controlled robot with video-communication capability in independently living, cognitively intact older adults. MATERIALS AND METHODS: A mobile remotely controlled robot with video-communication ability was placed in the homes of eight seniors. The attitudes and preferences of these volunteers and those of family or friends who communicated with them remotely via the device were assessed through survey instruments. RESULTS: Overall experiences were consistently positive, with the exception of one user who subsequently progressed to a diagnosis of mild cognitive impairment. Responses from our participants indicated that in general they appreciated the potential of this technology to enhance their physical health and well-being, social connectedness, and ability to live independently at home. Remote users, who were friends or adult children of the participants, were more likely to test the mobility features and had several suggestions for additional useful applications. CONCLUSIONS: Results from the present study showed that a small sample of independently living, cognitively intact older adults and their remote collaterals responded positively to a remote controlled robot with video-communication capabilities. Research is needed to further explore the feasibility and acceptance of this type of technology with a variety of patients and their care contacts.

Recovery of content and temporal order memory for performed activities following moderate to severe traumatic brain injury.

Few studies have investigated the complex nature of everyday activity memory following traumatic brain injury (TBI). This study examined recovery of content and temporal order memory for performed activities during the first year in individuals who suffered moderate to severe TBI. TBI and control participants completed eight different cognitive activities at baseline (i.e., acutely following injury for TBI) and then again approximately one year later (follow-up). Participants' free recall of the activities provided a measure of content memory. Temporal order memory was assessed with a reconstruction task. Self-report and informant report of everyday memory problems at follow-up were used to examine the relationship between activity memory performances and everyday memory. TBI participants showed significant recovery in both content and temporal order memory for activities during the first year. Despite showing significant recovery, the TBI group's activity memory performances remained poorer than that of controls at follow-up. Greater self- and informant report of everyday memory difficulties was associated with poorer temporal order memory but not content memory for activities. These findings demonstrate recovery in multiple memory processes that support activity memory following moderate to severe TBI. The findings also suggest a stronger link between everyday memory abilities and temporal order memory for activities than activity memory content in a TBI population.

PUCK: An Automated Prompting System for Smart Environments: Towards achieving automated prompting; Challenges involved.

The growth in popularity of smart environments has been quite steep in the last decade and so has the demand for smart health assistance systems. A smart home-based prompting system can enhance these technologies to deliver in-home interventions to users for timely reminders or brief instructions describing the way a task should be done for successful completion. This technology is in high demand given the desire of people who have physical or cognitive limitations to live independently in their homes. In this paper, with the introduction of the "PUCK" prompting system, we take an approach to automate prompting-based interventions without any predefined rule sets or user feedback. Unlike other approaches, we use simple off-the-shelf sensors and learn the timing for prompts based on real data that is collected with volunteer participants in our smart home test bed. The data mining approaches taken to solve this problem come with the challenge of an imbalanced class distribution that occurs naturally in the data. We propose a variant of an existing sampling technique, SMOTE, to deal with the class imbalance problem. To validate the approach, a comparative analysis with Cost Sensitive Learning is performed.

Predictions of verbal episodic memory in persons with Alzheimer's disease.

This study examined awareness of memory problems and memory self-monitoring abilities in individuals with Alzheimer's disease (AD). Participants were 20 individuals with AD and 20 older adult controls. A global performance-prediction paradigm, which required participants to predict the number of words they would remember both prior to and after completing a list-learning memory task, was used as the online assessment measure. Offline assessment of memory involved contrasting self-ratings provided by participants about the frequency of everyday memory failures with ratings from knowledgeable informants. As expected, participants with AD demonstrated poorer recall for the word list than did controls. Participants with AD were also less accurate than controls in their preexperience memory predictions, and findings from the offline assessment method similarly revealed that the AD group overestimated their everyday memory abilities. Despite showing impaired understanding of personal memory ability, the AD group successfully modified their postexperience memory predictions so that they were more accurate following task exposure, demonstrating accurate memory self-monitoring abilities. These findings highlight the complex and multidimensional nature of metamemory. The findings further suggest that while AD patients appear able to immediately benefit from task experience, they have difficulty creating lasting awareness of memory abilities.

Episodic memory predictions in persons with amnestic and nonamnestic mild cognitive impairment.

A performance-prediction paradigm was used to examine metamemory abilities in 27 individuals with amnestic mild cognitive impairment (MCI), 14 individuals with nonamnestic MCI, and 41 controls. To assess memory self-awareness, participants predicted the number of words they would remember before completing a list-learning memory task. Memory self-monitoring was evaluated by participants' ability to increase the accuracy of their predictions after experience with the list-learning task. As expected, participants with amnestic MCI demonstrated poorer memory abilities than the controls and participants with nonamnestic MCI. The amnestic MCI group also correctly predicted that they would recall less information than controls. Furthermore, both MCI groups showed accurate awareness of how differing task demands influence recall and successfully modified their memory predictions to be more accurate following task exposure. These findings revealed that individuals with amnestic and nonamnestic MCI were able to competently assess the demands of an externally driven metamemorial situation and utilize experience with a task to accurately update memory self-knowledge. Accurate metamemory skills may facilitate the ability of individuals with MCI to benefit from targeted behavioral interventions focused on utilizing compensatory strategies for everyday memory problems.

Wechsler Memory Scale-III Faces test performance in patients with mild cognitive impairment and mild Alzheimer's disease.

Little is known about the sensitivity of the Wechsler Memory Scale-Third Edition (WMS-III) Faces subtest to memory impairment associated with mild cognitive impairment (MCI). In this study, Faces performance was examined in 24 MCI patients, 46 mild Alzheimer's disease (AD) patients, and 98 elderly controls. We hypothesized that participants with diagnoses of MCI or AD would be impaired relative to controls on Faces. Analyses showed that AD participants performed significantly worse than MCI and intact participants, although there were no significant differences between MCI and intact participants. Data suggest that brain areas specialized for face recognition memory may be less affected by MCI and mild AD than regions specialized for verbal memory.