Media Effects Research Lab - Research Archive
Understanding Algorithmic Memory Suggestions
Student Researcher(s)
Jeff Brozena (Ph.D Candidate);
Keerthana Govindarazan (Ph.D Candidate);
Faculty Supervisor
The ubiquitous global adoption of photography has brought social, cultural, and technological consequences. Reduced costs of photographic capture and storage have led to a dramatic increase in the total number of photographs taken by individuals, and these effects were only amplified by the societal distribution of the smartphone. However, many photographs are still taken with long-term retrieval as a primary goal.
Advances in algorithmic curation and retrieval have been shown to offset the burdens of increased collection size. For example, chronological views (“timelines”) of a photo collection offer an intuitive, sometimes serendipitous method of photo retrieval that often leads to further exploration of a personal collection. However, less is known about how these algorithmic methods represent users’ primary motives for capture, namely, long-term retrieval.
This study seeks to examine perceived interactions with memory suggestions as they relate to past interaction with photo collections, finding these past interactions to be highly associated with perceived engagement, enjoyment, and utility of hypothetical memory suggestions.
For more details regarding the study contact
Dr. S. Shyam Sundar by e-mail at sss12@psu.edu or by telephone at (814) 865-2173