How Do We Get From Good to Great? The Need for Better Observation Studies of Creativity in Education

Katz‐Buonincontro, Jen; Anderson, Ross

doi:10.3389/fpsyg.2018.02342

Cited by 9 publications

(9 citation statements)

References 31 publications

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“…Overall, this research determined that NO of behaviors and interactions between individuals (N=32) was able to realize highly accurate data (Katz-Buonincontro & Anderson, 2018;McLeod, 2015). The naturalistic observation mode has played a significant role in the study of PD social behaviors, as this means of inquiry has generated important data (Beins, 1999), as was the case in this examination of PD.…”

Section: Resultsmentioning

confidence: 83%

Healthful Behaviour during the Pandemic: Physical Distancing

Thomas

2020

International Journal of Human and Behavioral Science

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The purpose of this naturalistic observation study was to observe, in a natural setting, the actions of shoppers at retail outlets. In doing so it was hoped that numerous behaviors could be observed that would indicate a level or extent of observance of physical distancing guidelines. It was found that the observed sample was often in compliance with physical distancing guidelines and avoiding contact with others while shopping in retail contexts. The wearing of masks was noted and the cleaning of hands upon entry and exiting was commonplace. Overall, the sample demonstrated an informed and obedient behavioural mode observing the advice from various levels of government.

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Section: Resultsmentioning

confidence: 83%

Healthful Behaviour during the Pandemic: Physical Distancing

Thomas

2020

International Journal of Human and Behavioral Science

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“…In user-centered design, understanding users' needs is regarded as one of the principal ideas in the generation of hypotheses to meet these needs and improve the users' quality of life. Additionally some observation methods have been integrated with an in-depth interview [12][13][14]. Katz-Buonincontro et al called it triangulation [12].…”

Section: Behavioral Observationmentioning

confidence: 99%

“…Additionally some observation methods have been integrated with an in-depth interview [12][13][14]. Katz-Buonincontro et al called it triangulation [12]. This integration is one of several key factors in realizing thick description [15] that provides detailed analysis in qualitative research fields.…”

Section: Behavioral Observationmentioning

confidence: 99%

“…This method has been mainly utilized in public spaces such as schools and commercial facilities to develop the creative processes present in education or services [10,12,13]. In contrast, this method is difficult to utilize at a household level because human-based observation could be considered an invasion of privacy; as such, while this observation method enables detailed investigation, it also adds significant impact to the observed person, possibly affecting the activities the person is involved in.…”

Section: Behavioral Observationmentioning

confidence: 99%

“…Table 1 shows the comparison between existing human-based and proposed sensor-based observation method. As some existing research [12][13][14] has demonstrated in-home activities and their intentions can be more readily derived from interviews that rely on the assistance of subjective information based on interviewer's cognitive ability. However, the scope of observation is limited to short-term periods with fewer households because of the significant privacy impacts on the observed people.…”

Section: In-depth Interviewmentioning

confidence: 99%

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In-Home Behavioral Observation Method Employing Internet of Things Sensors for Barrier Investigation of Energy Saving Activities

Hattori

Miura

Ichikawa³

et al. 2019

13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2019‬

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This paper proposes an in-home behavioral observation method employing Internet of Things (IoT) sensors. Behavioral change programs based on information provision approaches have begun to be employed in the reduction of carbon dioxide emissions in the residential sector. To improve efforts to save energy, a behavioral observation method that aims to understand the reality of users’ daily activities could be an effective approach. However, problems with existing methods include observations costs, privacy implications and the other complications regarding the specific behaviors of the person being observed. An in-home behavioral observation method employing IoT sensors is therefore proposed to both reduce costs and alleviate the privacy impact on user’s in-home activities. The use of sensor-based observation presents several relevant advantages. For example, the cost of sensor-based observation is relatively cheap compared to human-based approaches. In addition, it employs a minimum number of necessary sensors and has a relatively small impact on privacy and personal activities. These advantages imply that the proposed method could allow long-term observations targeting a number of households, thus enabling exhaustive investigations. Sensory-based observation approaches are applied to investigations of the barriers to in-home energy-saving activities with a goal of improving relevant behavioral change programs. The results showed that the in-home activities of the twenty target households were successfully observed for six weeks with various barriers having been extracted and organized.

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