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ACM Trans Comput Hum Interact 2021 ;28(5)

Indiana University.

Researchers in Human-Computer Interaction (HCI) have long developed technologies for older adults. Recently, researchers are engaging in critical reflections of these approaches. IoT for aging in place is one area around which these conflicting discourses have converged, likely in part driven by government and industry interest. Read More

ACM Trans Comput Hum Interact 2019 Sep;26(5)

Department of Psychology, University of Florida, Gainesville, Florida, U. S. A.

Phishing is fundamental to cyber attacks. This research determined the effect of Internet user age and email content such as weapons of influence (persuasive techniques that attackers can use to lure individuals to fall for an attack) and life domains (a specific topic or aspect of an individual's life that attackers can focus an emails on) on spear-phishing (targeted phishing) susceptibility. One-hundred young and 58 older users received, without their knowledge, daily simulated phishing emails over 21 days. Read More

ACM Trans Comput Hum Interact 2019 Jul;26(4)

Department of Informatics, University of California Irvine, Irvine, California, United States.

Telepresence robots have recently been introduced as a way for children who are homebound due to medical conditions to attend their local schools. These robots provide an experience that is a much richer learning experience than the typical home instruction services of 4-5 hours a week. Because the robots on the market today were designed for use by adults in work settings, they do not necessarily fit children in school settings. Read More

ACM Trans Comput Hum Interact 2017 ;2017:3057-3070

Human Centered Design and Engineering, DUB Group, University of Washington, Seattle, USA.

Many health care providers, with a variety of trainings, counsel clients on quitting smoking on a day-to-day basis. In their clinical practice, they draw from and adapt guidelines and research-based strategies to fit individual client situations and challenges. Designers of technologies to support quitting smoking can learn from these real world practices to create tools that better adapt to individual differences. Read More

ACM Trans Comput Hum Interact 2016 May;2016:4477-4488

School of Biomedical Engineering, Carnegie Mellon University, Pittsburgh PA, USA.

Clinical decision support tools (DSTs) are computational systems that aid healthcare decision-making. While effective in labs, almost all these systems failed when they moved into clinical practice. Healthcare researchers speculated it is most likely due to a lack of user-centered HCI considerations in the design of these systems. Read More

ACM Trans Comput Hum Interact 2014 Aug;21(4)

The Information School, University of Washington, MGH 330S, Box 352840, University of Washington, Seattle, WA 98195-2840.

Studies have shown positive impact of video blogs (vlogs) on patient education. However, we know little on how patient-initiated vlogs shape the relationships among vloggers and viewers. We qualitatively analyzed 72 vlogs on YouTube by users diagnosed with HIV, diabetes, or cancer and 1,274 comments posted to the vlogs to understand viewers' perspectives on the vlogs. Read More

ACM Trans Comput Hum Interact 2012 Mar;19(1)

T. Schleyer Center for Dental Informatics School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA; B. S. Butler, School of Information Studies, Robert H. Smith School of Business, University of Maryland, College Park; Joseph M. Katz Graduate School Business and College of Business Administration, University of Pittsburgh, Pittsburgh, PA; M. Song, H. Spallek, Center for Dental Informatics School of Dental Medicine, University of Pittsburgh, Pittsburgh, PA.

Science in general, and biomedical research in particular, is becoming more collaborative. As a result, collaboration with the right individuals, teams, and institutions is increasingly crucial for scientific progress. We propose Research Networking Systems (RNS) as a new type of system designed to help scientists identify and choose collaborators, and suggest a corresponding research agenda. Read More

ACM Trans Comput Hum Interact 2010 :84-93

Virginia Tech, Grado Department of Industrial and Systems Engineering, Blacksburg, VA, USA 24061.

Patients with end stage renal diseases (ESRD) on hemodialysis (HD) have high morbidity and mortality due to multiple causes, one of which is dramatically higher fall rates than the general population. The mobility mechanisms that contribute to falls in this population must be understood if adequate interventions for fall prevention are to be achieved. This study utilizes emerging non-invasive, portable gait, posture, strength, and stability assessment technologies to extract various mobility parameters that research has shown to be predictive of fall risk in the general population. Read More

ACM Trans Comput Hum Interact 2009 Apr;16(1):1-15

North Carolina State University.

Researchers have suggested that attention is a key moderating variable predicting performance with an input device [e.g., Greenstein & Arnaut, 1988] without directly assessing the attention demands of devices We hypothesized that the attentional demands of input devices would be intricately linked to whether the device matched the input requirements of the on-screen task. Read More

ACM Trans Comput Hum Interact 2008 ;2008:97-104

Center for Human-Computer Interaction Virginia Tech

The estimation of the direction of visual attention is critical to a large number of interactive systems. This paper investigates the cross-modal relation of the position of one's feet (or standing stance) to the focus of gaze. The intuition is that while one CAN have a range of attentional foci from a particular stance, one may be MORE LIKELY to look in specific directions given an approach vector and stance. Read More

ACM Trans Comput Hum Interact 2008 ;15(1)

Department of Industrial Engineering, University of Miami, P.O. Box 248294, Coral Gables, FL 33124.

This study investigated the influences of knowledge, particularly Internet, Web browser, and search engine knowledge, as well as cognitive abilities on older adult information seeking on the Internet. The emphasis on aspects of cognition was informed by a modeling framework of search engine information-seeking behavior. Participants from two older age groups were recruited: twenty people in a younger-old group (ages 60-70) and twenty people in an older-old group (ages 71-85). Read More