Music-streaming platforms offer users a large amount of content for consumption. Finding the right music can be challenging and users often need to search through extensive catalogs provided by these platforms. Prior research has focused on general-domain web search, which is designed to meet a broad range of user goals. Here, we study search in the domain of music, seeking to understand how and why people use search and how they evaluate their search experiences on a music-streaming platform. Over two studies, we conducted semi-structured interviews with 27 participants, asking about their search habits and preferences, and observing their behavior while searching for music. Analysis revealed participants evaluated their search experiences along two dimensions: success and effort. Importantly, how participants perceived success and effort differed by their mindset, or the way they assessed the results of their query. We conclude with recommendations to improve the user experience of music search.

People tend to anthropomorphize agents that look and/or act human, and further, they tend to evaluate such agents more positively. This, in turn, has motivated the development of robotic agents that are humanlike in appearance and/or behavior. Yet, some agents -- often those with highly humanlike appearances -- have been found to elicit the opposite, wherein they are evaluated more negatively than their less humanlike counterparts. These trends are captured by Masahiro Mori's uncanny valley hypothesis, which describes a (uncanny) valley in emotional responding - a switch from affinity to dislike - elicited by agents that are ``too humanlike'. However, while the valley phenomenon has been repeatedly observed via subjective measures, it remains unknown as to whether such evaluations reflect a potential impact to a person's behavior (i.e., aversion). We attempt to address this gap in the literature via a novel experimental paradigm employing both traditional subjective ratings, as well as measures of peoples' behavioral and phsyiological responding. The results show that not only do people rate highly humanlike robots as uncanny, but moreover, they exhibit greater avoidance of such encounters than encounters with less humanlike and human agents. Thus, the findings not only support Mori's hypothesis, but further, they indicate the valley should be taken as a serious consideration for peoples' interactions with humanlike agents.