Item memorability has no influence on value-based decisions

Abstract

While making decisions, we often rely on past experiences to guide our choices. However, not all experiences are remembered equally well, and some elements of an experience are more memorable than others. Thus, the intrinsic memorability of past experiences may bias our decisions. Here, we hypothesized that individuals would tend to choose more memorable options than less memorable ones. We investigated the effect of item memorability on choice in two experiments. First, using food images, we found that the same items were consistently remembered, and others consistently forgotten, across participants. However, contrary to our hypothesis, we found that participants did not prefer or choose the more memorable over the less memorable items when choice options were matched for the individuals’ valuation of the items. Second, we replicated these findings in an alternate stimulus domain, using words that described the same food items. These findings suggest that stimulus memorability does not play a significant role in determining choice based on subjective value.

Memory for artwork is predictable

“…ResMem is a deep learning neural network designed to predict the intrinsic memorability of an image ( 17 ). Several other neural networks have been developed for this purpose ( 26 – 30 ), but ResMem is one of the more recent models and has shown high generalizability to other tasks and image sets ( 11 , 31 , 32 ). Its architecture consists of two branches of processing.…”

“…These images were tested in a continuous recognition task (as in Experiment 1 ) and memorability was estimated by HR, which was used to train the network. ResMem has been shown to predict human memory performance for photographs with a Spearman rank correlation of ρ = 0.67 ( 17 ) and has been validated on novel image sets such as black and white scene photographs ( 25 ) and posed food photographs ( 32 ). However, ResMem had not yet been tested with artwork or predicting memory in the real world.…”

Image memorability depends on interference in memory

“…MemCat image, we applied ResMem (Needell & Bainbridge, 2022) on our selected stimuli, a convolutional neural network (CNN) that can analyze any image and predict a memorability score based on its edges, patterns, parts, and objects and was trained on a combination of behavioral memorability datasets (Li et al, 2022;Võ et al, 2017;Zhao et al, 2022). We compared the scores obtained from ResMem with the behavioral scores from MemCat and excluded any stimuli that showed a delta greater than 0.3 to include the most stable and reliable memorability scores for our selected images.…”

Perancangan Ulang Website Sekolah untuk Meningkatkan Faktor Learnability dan Memorability

“…Dampak yang diakibatkan dengan rendahnya Learnability adalah sulit menemukan informasi menu yg diinginkan. Indikator ini digunakan dalam mengukur kemudahan user dalam menggunakannya (Munir & Nugroho, 2022), sedangkan Memorability adalah ketika user mengalami kesulitan dalam mengingat bagaimana proses pencarian informasi apabila lama tidak menggunakan, ditambah lagi jika website tersebut telah mengalami banyak pembaharuan sehingga terdapat perbedaan tata letak desain interface (Li, Bainbridge, & Bakkour, 2022). Berdasarkan data diatas, permasalahan yang dialami oleh para pengunjung website di sekolah SMA Al Irsyad antara lain tidak tersedianya informasi tentang prestasi sekolah, kegiatan esktrakurikuler siswa, sarana dan prasarana, kontak yang dapat dihubungi saat pendaftaran, dan desain website yang sulit dipahami, sehingga membuat pengguna lama dalam mencari informasi yang dibutuhkan.…”