Title | ||
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Memory karaoke: using a location-aware mobile reminiscence tool to support aging in place |
Abstract | ||
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Episodic memory exercises such as reminiscing and storytelling have been shown to provide therapeutic benefits for older adults by prolonging their ability to lead an independent lifestyle. In this paper, we describe a mobile reminiscence tool called Memory Karaoke, which facilitates episodic memory exercise through contextualized storytelling of meaningful experiences by using contextual cues such as location, time, and photos. We present results from two studies we conducted with Memory Karaoke to explore which contextual cues contribute to best exercising a person's episodic memory. Our findings suggest that while viewing photos do exercise episodic memory to some extent, additional contextual cues (e.g. location and time) can solicit a greater amount of episodic memory exercise. This suggests that Memory Karaoke's selective capture process and its ability to contextualize memories while users retell stories are two effective features which help it to support episodic memory use. These results, together with positive qualitative feedback, provide promising evidence for Memory Karaoke as a viable mobile alternative for helping older adults to exercise their episodic memory and, in turn, assist them in successfully "aging in place". |
Year | DOI | Venue |
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2007 | 10.1145/1377999.1378023 | Mobile HCI |
Keywords | Field | DocType |
exercise episodic memory,contextual cue,contextualized storytelling,memory karaoke,location-aware mobile reminiscence tool,episodic memory exercise,episodic memory,mobile reminiscence tool,older adult,additional contextual cue,episodic memory use,mobile computing,mobile computer | Mobile computing,Reminiscence,Episodic memory,Storytelling,Cognitive psychology,Psychology,Location aware,Aging in place,Multimedia | Conference |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Karen P. Tang | 1 | 232 | 18.44 |
Jason Hong | 2 | 6706 | 518.75 |
Ian E. Smith | 3 | 761 | 121.26 |
Annie Ha | 4 | 0 | 0.34 |
Lalatendu Satpathy | 5 | 13 | 1.27 |