2003
DOI: 10.1023/a:1023605205115
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Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses

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Cited by 596 publications
(490 citation statements)
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References 88 publications
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“…Because of the covert nature of emotional experience, emotions (be they positive or negative) are more perceptually salient when they belong to oneself than to another (McFarland and Miller 1990). Future research might follow up on this self-serving aspect more directly by examining people's emotions (and the beliefs about those emotions) at the time they experience them using, for example, methods of experience sampling (Scollon et al 2003) or day reconstruction (Kahneman et al 2004). Such methods may shed light on whether emotion appraisals are immediately skewed to the positive or become progressively more positive with the passage of time (Mitchell et al 1997;Van Boven and Ashworth 2007).…”
Section: Discussionmentioning
confidence: 99%
“…Because of the covert nature of emotional experience, emotions (be they positive or negative) are more perceptually salient when they belong to oneself than to another (McFarland and Miller 1990). Future research might follow up on this self-serving aspect more directly by examining people's emotions (and the beliefs about those emotions) at the time they experience them using, for example, methods of experience sampling (Scollon et al 2003) or day reconstruction (Kahneman et al 2004). Such methods may shed light on whether emotion appraisals are immediately skewed to the positive or become progressively more positive with the passage of time (Mitchell et al 1997;Van Boven and Ashworth 2007).…”
Section: Discussionmentioning
confidence: 99%
“…The active learning literature have also proposed a variety of ways to choose which data should be labeled [1,12,17,18]. However, it has been shown that the frequency and repetition of questions can affect the accuracy and compliance with experience sampling [22]. Horvitz has argued [8] and attempts have been made in both the machine learning and experience sampling communities [4,12,13,14] to take into account users' interruption costs to determine when to ask.…”
Section: Related Workmentioning
confidence: 99%
“…We want to use experience sampling to build and train personalized preference classifiers for mobile phone users without affecting the usability of our application. Unlike traditional experience sampling techniques in which the participant should be interrupted, we are interested in minimizing this interruption so that users are more likely to answer the questions over time [22]. Several techniques have been proposed for when to collect accurate data from users.…”
Section: Experience Sampling To Acquire Training Datamentioning
confidence: 99%
“…Realmente, alguns estudos (MyinGermeys, Delespaul, & deVries, 2000;Delespaul, 1995) No sentido de estudar a experiência subjetiva diária de indivíduos com diagnóstico de esquizofrenia, os investigadores reconhecem a importância de medidas que avaliem as experiências de vida de uma forma mais real e contingente. Nesta perspectiva têm sido utilizadas medidas em tempo real ou ecológicas, com métodos de recolha de dados em que os participantes respondem a avaliações repetidas acerca das experiências no momento em que as vivenciam, ou seja, enquanto funcionam no seu ambiente natural (Scollon, Kim-Prieto, & Diener, 2003). Exemplo desta metodologia é o ExperienceSampling Method-(ESM) (Csikszentmihalyi & Larson, 1987), em que os participantes portam consigo um dispositivo electrónico que emite sinais acústicos durante quatro a sete dias, relatando a sua experiência através de respostas abertas e fechadas a um questionário breve a cada vez que o dispositivo toca.…”
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“…Esta metodologia permite diminuir o viés e as distorções da memória presentes nos questionários de autorrelato (medidas retrospectivas), por isso apenas as respostas dos participantes que ocorram entre 10 a 20 minutos após a emissão do sinal acústico tendem a ser consideradas (Scollon, KimPrieto, & Diener, 2003). Outra vantagem é a possibilidade de obter uma grande quantidade de dados, mesmo com amostras reduzidas, já que é uma medida repetida e pode ser analisada tanto ao nível da resposta por momento (beep-level) quanto ao nível de resposta por sujeito (subject-level) (Scollon et al, 2003).…”
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