  Conversation is the natural mode for information exchange in daily life, a
spoken conversational interaction for search input and output is a logical
format for information seeking. However, the conceptualisation of user-system
interactions or information exchange in spoken conversational search (SCS) has
not been explored. The first step in conceptualising SCS is to understand the
conversational moves used in an audio-only communication channel for search.
This paper explores conversational actions for the task of search. We define a
qualitative methodology for creating conversational datasets, propose analysis
protocols, and develop the SCSdata. Furthermore, we use the SCSdata to create
the first annotation schema for SCS: the SCoSAS, enabling us to investigate
interactivity in SCS. We further establish that SCS needs to incorporate
interactivity and pro-activity to overcome the complexity that the information
seeking process in an audio-only channel poses. In summary, this exploratory
study unpacks the breadth of SCS. Our results highlight the need for
integrating discourse in future SCS models and contributes the advancement in
the formalisation of SCS models and the design of SCS systems.
