TY - GEN
T1 - Collaborative TV Control
T2 - 19th IFIP International Conference on Human-Computer Interaction, INTERACT 2023
AU - Berger, Melanie
AU - Verstegen, Rutger
AU - Barati, Bahareh
AU - van Essen, Harm A.
AU - Bernhaupt, Regina
PY - 2023/8/25
Y1 - 2023/8/25
N2 - Consuming media together is enjoyable and lets people connect with one another. However, the control of a TV, for instance, is still restricted to one user. This limits individual participation in group decision-making, particularly in the home context which can cause frustration and impact social interaction negatively. In this paper, we explore how we can support users in the living room to collaboratively interact with the TV in order to enhance social interaction and support the selection of a movie everyone is up for watching. Therefore, we investigate three collaborative approaches to movie selection: Consensual, Hierarchical, and Autocratic. We empirically validated the approaches’ effect on perceived co-experience, social connectedness, and team performance as indicators for social interaction. Therefore, we conducted a mixed-subject experiment (N = 30, 10 groups) inside a living room in groups of three choosing a movie together. Results show that the collaborative approach to movie selection has an influence on collaboration and social interaction. Promoting consensual decision-making or enabling users to provide movie recommendations under the hierarchical approach empowers individuals, supports involvement, and is perceived as fair while also enabling a higher chance of picking a movie everyone enjoys watching. Letting only one user interact with the TV, stimulates communication, yet, it enhances the chance of excluding group members. Founded on these insights, we discuss suggestions for the future design of collaborative, interactive media systems toward co-experience and social connectedness.
AB - Consuming media together is enjoyable and lets people connect with one another. However, the control of a TV, for instance, is still restricted to one user. This limits individual participation in group decision-making, particularly in the home context which can cause frustration and impact social interaction negatively. In this paper, we explore how we can support users in the living room to collaboratively interact with the TV in order to enhance social interaction and support the selection of a movie everyone is up for watching. Therefore, we investigate three collaborative approaches to movie selection: Consensual, Hierarchical, and Autocratic. We empirically validated the approaches’ effect on perceived co-experience, social connectedness, and team performance as indicators for social interaction. Therefore, we conducted a mixed-subject experiment (N = 30, 10 groups) inside a living room in groups of three choosing a movie together. Results show that the collaborative approach to movie selection has an influence on collaboration and social interaction. Promoting consensual decision-making or enabling users to provide movie recommendations under the hierarchical approach empowers individuals, supports involvement, and is perceived as fair while also enabling a higher chance of picking a movie everyone enjoys watching. Letting only one user interact with the TV, stimulates communication, yet, it enhances the chance of excluding group members. Founded on these insights, we discuss suggestions for the future design of collaborative, interactive media systems toward co-experience and social connectedness.
KW - Collaboration
KW - Interactive media
KW - social connectedness
KW - Co-experience
KW - Movie selection
KW - Social connectedness
UR - http://www.scopus.com/inward/record.url?scp=85173058853&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-42286-7_20
DO - 10.1007/978-3-031-42286-7_20
M3 - Conference contribution
SN - 978-3-031-42285-0
T3 - Lecture Notes in Computer Science (LNCS)
SP - 369
EP - 392
BT - Human-Computer Interaction – INTERACT 2023
A2 - Abdelnour Nocera, José
A2 - Kristín Lárusdóttir, Marta
A2 - Petrie, Helen
A2 - Piccinno, Antonio
A2 - Winckler, Marco
PB - Springer
Y2 - 28 August 2023 through 1 September 2023
ER -