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    Memory for staged events: Supporting older and younger adults’ memory with SenseCam
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    Abstract:
    Two experiments measured the effect of retrieval support provided by a wearable camera, SenseCam, on older and younger adults' memory for a recently experienced complex staged event. In each experiment, participants completed a series of tasks in groups, and the events were recalled 2 weeks later, after viewing SenseCam images (experimental condition) or thinking about the event (control condition). When IQ and education were matched, young adults recalled more event details than older adults, demonstrating an age-related deficit for novel autobiographical material. Reviewing SenseCam images increased the number of details recalled by older and younger adults, and the effect was similar for both groups. These results suggest that memory can be supported by the use of SenseCam, but the age-related deficit is not eliminated.
    Keywords:
    Lifelog
    Autobiographical Memory
    The use of personal lifelogs can be beneficial to improve the quality of our life, as they can serve as tools for memory augmentation or for providing support to people with memory issues. In visual lifelogs, data are captured by cameras in the form of images or videos. However, a considerable amount of these images or videos are affected by different types of distortions or noise due to the non-controlled acquisition process. This article addresses the use of Blind Image Quality Assessment algorithms as a pre-processing approach in the retrieval of lifelogging images. As the amount of lifelog images has increased over the last few years, it is fundamental to find solutions to filter images in a lifelog data collection. We evaluate the impact of a Blind Image Quality Assessment algorithm by performing different retrieval experiments through a lifelogging system named MEMORIA. The results are promising and show that our approach can reduce the amount of images to process and retrieve in a lifelog data collection without losing valuable information, and provide to the user the most valuable images. By excluding a considerable amount of images in the pre-processing stage of a lifelogging system, its performance can be increased by saving time and resources.
    Lifelog
    Citations (1)
    The data related to our life experiences is called lifelog, which can easily be collected with mobile electronic devices in recent years. Although lifelog research has been conducted for a long time, practical applications such as a memory assistant system have not been fully developed yet. This is mainly due to the lack of methods to structurize the lifelog data efficiently. In our research, we developed a method for structuring a lifelog consisting of data from various sensors, focusing on event estimation with neural network. In an evaluation experiment, we captured lifelog data with a device that has various sensors, and then we estimated the events, i.e., the participantsf activities. As a result, the system correctly estimated events 70.4% of the time. We also created a lifelog viewer to visualized the data based on the result of event estimation.
    Lifelog
    Citations (3)
    Selective retrieval can both impair and enhance memory. In this study we analysed the effects of retrieval practice in the recall of past and future experiences. The participants generated past autobiographical experiences or imagined future experiences using recall cues of typical autobiographical experiences obtained in a previous study. The experiences were presented either in chronological or random order. Regardless of presentation order, retrieval practice produced facilitation in the free recall of practised past and future experiences. No retrieval-induced forgetting was observed for past experiences in the ordered presentation, showing that the temporal organisation of autobiographical experiences prevents the activation of inhibitory processes. Conversely, inhibition was significant in the free recall of future experiences presented in chronological order, possibly because future experiences present less welldefined temporal organisation, impairing the integration that suppresses inhibitory processes. Thus, retrieval-induced forgetting was evident in the random presentation of past and future autobiographical experiences.
    Autobiographical Memory
    Retrieval-induced forgetting
    Facilitation
    Presentation (obstetrics)
    Citations (6)
    Lifelogging was introduced as the process of passively capturing personal daily events via wearable devices. It ultimately creates a visual diary encoding every aspect of one's life with the aim of future sharing or recollecting. In this paper, we present LifeSeeker, a lifelog image retrieval system participating in the Lifelog Search Challenge (LSC) for 3 years, since 2019. Our objective is to support users to seek specific life moments using a combination of textual descriptions, spatial relationships, location information, and image similarities. In addition to the LSC challenge results, a further experiment was conducted in order to evaluate the power retrieval of our system on both expert and novice users. This experiment informed us about the effectiveness of the user's interaction with the system when involving non-experts.
    Lifelog