Food as Experience A Design and Evaluation Methodology

This research, conducted for Frito Lay-North America, Inc, demonstrates how new product designs, package designs, concepts, and prototypes can be created based on the social, emotional, cognitive, and sensory information gathered through a combined methodology based on activity theory, Kansei Engineering and the ZMET process. The study examines how activity theory can be used to observe situational settings mediated by products for the purpose of collecting significant social and behavioral data. It also examines how Kansei methods can be used to evaluate sensory experiences and how the ZMET process can be used to gather demographic and marketing data. The outcome of this research concludes that activity theory, Kansei engineering, and ZMET are each useful, however, none of these methods used in isolation are sufficient to inform all aspects of marketing, new product development, and package design decisions. However, as a combined design and evaluation methodology they can provide more useful data for these processes. Keywords: Experience Design, Kansei Assessment, Food, Activity Theory</p

Special Issue on Designing With and For Users on the Autism Spectrum

Autism is a lifelong neurodevelopmental condition that affects how a person communicates with and relates to other people, and to the world around them. It is estimated that around 1 in 68 people are autistic (Christensen et al., 2016 Christensen, D. L., Baio, J., Van Naarden Braun, K., Bilder, D., Charles, J., Constantino, J. N., … Yeargin-Allsopp, M. (2016). Prevalence and characteristics of autism spectrum disorder among children aged 8 years

A Novel Interdisciplinary Course in Gerontechnology for Disseminating Computational Thinking

While specialized knowledge and skills are the hallmark of modern society, the size and complexity of contemporary problems often require cooperative effort to analyze and solve. Therefore, experiences with skills, methodologies, and tools for effective interdisciplinary collaboration and structured problem solving are vital for preparing students for future academic and professional success. Meanwhile, computational systems have permeated much of modern professional and personal life, making computational thinking an essential skill for members of modern society. However, formal training in these techniques is primarily limited to students within computer science, mathematics, management of information systems, and engineering. At Iowa State University, we have designed and offered an experimental course to develop undergraduate students’ abilities for interdisciplinary teamwork and to disseminate computational thinking skills to a broader range of students. This novel course was jointly designed and instructed by faculty from the Computer Science Department, Gerontology Program, and Graphic Design Program to incorporate diverse faculty expertise and pedagogical approaches. Students were required to interview real users to identify real-life problems, gather requirements, and assess candidate solutions, which necessitated communication both within the group and with technologically-disinclined users. In-class presentations and wiki-based project websites provided regular practice at disseminating domain expertise to larger interdisciplinary audiences. Workshops, group-based mentoring, peer learning, and guided discovery allowed non-CS majors to learn much more about computer programs and tools, and grading criteria held students individually accountable within their disciplines but also emphasized group collaboration

Tools to Assess Behavioral and Social Science Competencies in Medical Education: A Systematic Review

Behavioral and social science (BSS) competencies are needed to provide quality health care, but psychometrically validated measures to assess these competencies are difficult to find. Moreover, they have not been mapped to existing frameworks, like those from the Liaison Committee on Medical Education (LCME) and Accreditation Council for Graduate Medical Education (ACGME). This systematic review aimed to identify and evaluate the quality of assessment tools used to measure BSS competencies

A Novel Interdisciplinary Course in Gerontechnology for Disseminating Computational Thinking

While specialized knowledge and skills are the hallmark of modern society, the size and complexity of contemporary problems often require cooperative effort to analyze and solve. Therefore, experiences with skills, methodologies, and tools for effective interdisciplinary collaboration and structured problem solving are vital for preparing students for future academic and professional success. Meanwhile, computational systems have permeated much of modern professional and personal life, making computational thinking an essential skill for members of modern society. However, formal training in these techniques is primarily limited to students within computer science, mathematics, management of information systems, and engineering. At Iowa State University, we have designed and offered an experimental course to develop undergraduate students’ abilities for interdisciplinary teamwork and to disseminate computational thinking skills to a broader range of students. This novel course was jointly designed and instructed by faculty from the Computer Science Department, Gerontology Program, and Graphic Design Program to incorporate diverse faculty expertise and pedagogical approaches. Students were required to interview real users to identify real-life problems, gather requirements, and assess candidate solutions, which necessitated communication both within the group and with technologically-disinclined users. In-class presentations and wiki-based project websites provided regular practice at disseminating domain expertise to larger interdisciplinary audiences. Workshops, group-based mentoring, peer learning, and guided discovery allowed non-CS majors to learn much more about computer programs and tools, and grading criteria held students individually accountable within their disciplines but also emphasized group collaboration.This conference proceedings was published as 103. Hen-I Yang, Peter Martin, Debra Satterfield, Ryan Babbitt, Johnny Wong, Mack Shelley, and Carl K. Chang, “A Novel Interdisciplinary Course in Gerontechnology for Disseminating Computational Thinking,” pp. T3H-1 to T3H-6 in Proceedings of the 41st Annual Frontiers in Education Conference (FIE 2011). Rapid City, SD: Institute of Electrical and Electronics Engineers (2011).978-1-61284-469-5/11.Posted with permission.</p

Separation of circadian- and behavior-driven metabolite rhythms in humans provides a window on peripheral oscillators and metabolism

Misalignment between internal circadian rhythmicity and externally imposed behavioral schedules, such as occurs in shift workers, has been implicated in elevated risk of metabolic disorders. To determine underlying mechanisms, it is esse ntial to assess whether and how peripheral clocks are disturbed during shift work and to what extent this is linked to the central suprachiasmatic nuclei (SCN) pacemaker and/or misaligned behavioral time cues. Investigating rhythms in circulating metabolites as biomarkers of peripheral clock distur- bances may offer new insight s. We evaluated the impact of misaligned sleep/wake and feeding/fasting cycles on circulating metabolites using a targeted metabolomics approach. Sequential plasma samples obtained during a 24-h constant routine that followed a 3-d simulated night-s hift schedule, compared with a simulated day-shift schedule, we re analyzed for 132 circulating metabolites. Nearly half of these metabolites showed a 24-h rhyth- micity under constant routine following either or both simulated shift schedules. However, while tradition al markers of the circadian clock in the SCN — melatonin, cortisol, and PER3 expression — maintained a stable phase alignment after both schedules, only a few metabo- lites did the same. Many showed reversed rhythms, lost their rhythms, or showed rhythmicity only under constant routine fol- lowing the night-shift schedule. Here, 95% of the metabolites with a 24-h rhythmicity showed rhythms that were driven by behavior- al time cues externally imposed during the preceding simulated shift schedule rather than being driven by the central SCN circa- dian clock. Characterization of these metabolite rhythms will pro- vide insight into the underlying mechanisms linking shift work and metabolic disorder