Beyond love and breakup: integrating intervention letters for nuanced insights into consumer-robot relationships

Abstract The Love and Breakup Letter Method (LBM) is a valuable qualitative technique for exploring consumer-brand relationships, but its dichotomous nature may overlook nuanced consumer sentiments. This study proposes a modification to the LBM by introducing an “intervention letter” category, allowing participants to express a desire to contribute to product or service improvement. We applied this modified method to investigate customer relationships with service robots in the hotel industry. Findings revealed a significant preference for the intervention letter (52.72%), surpassing both love letters (38.18%) and breakup letters (9.09%), highlighting consumers’ active engagement and desire for co-creation. Time taken to write Intervention Letters was also significantly longer, indicating deeper engagement. Linguistic analysis using LIWC-22 further distinguished the letter types. Intervention letters demonstrated the highest Analytic score, reflecting a task-oriented approach, and less self-focus compared to love and breakup letters, which had higher authenticity and emotionality, respectively. Word frequency analysis revealed distinct lexical patterns: Love Letters emphasized emotional terms like “love,” “heart,” and “moment,” while Intervention Letters focused on practical terms such as “guests,” “service,” and “improve.” Notably, “moment” appeared much more frequently in Love Letters, underscoring their focus on specific emotional experiences. This modified LBM offers a more comprehensive understanding of consumer experiences, particularly the desire for constructive engagement, and fosters deeper connections between consumers and brands, benefiting both researchers and industry practitioners.

Authors

Institutions

Publication Details

Journal
Information Technology & Tourism
Published
2025-09-29
DOI
https://doi.org/10.1007/s40558-025-00340-4
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond love and breakup: integrating intervention letters for nuanced insights into consumer-robot relationships

Olena Ciftci, Katerina Berezina, Rasoul Mahdavi, Mahsa Talebi
Information Technology & Tourism
AI in Service Interactions
article

Beyond love and breakup: integrating intervention letters for nuanced insights into consumer-robot relationships

Olena Ciftci, Katerina Berezina, Rasoul Mahdavi, Mahsa Talebi
article en

Abstract

Abstract The Love and Breakup Letter Method (LBM) is a valuable qualitative technique for exploring consumer-brand relationships, but its dichotomous nature may overlook nuanced consumer sentiments. This study proposes a modification to the LBM by introducing an “intervention letter” category, allowing participants to express a desire to contribute to product or service improvement. We applied this modified method to investigate customer relationships with service robots in the hotel industry. Findings revealed a significant preference for the intervention letter (52.72%), surpassing both love letters (38.18%) and breakup letters (9.09%), highlighting consumers’ active engagement and desire for co-creation. Time taken to write Intervention Letters was also significantly longer, indicating deeper engagement. Linguistic analysis using LIWC-22 further distinguished the letter types. Intervention letters demonstrated the highest Analytic score, reflecting a task-oriented approach, and less self-focus compared to love and breakup letters, which had higher authenticity and emotionality, respectively. Word frequency analysis revealed distinct lexical patterns: Love Letters emphasized emotional terms like “love,” “heart,” and “moment,” while Intervention Letters focused on practical terms such as “guests,” “service,” and “improve.” Notably, “moment” appeared much more frequently in Love Letters, underscoring their focus on specific emotional experiences. This modified LBM offers a more comprehensive understanding of consumer experiences, particularly the desire for constructive engagement, and fosters deeper connections between consumers and brands, benefiting both researchers and industry practitioners.

Information Technology & TourismVol. 27(4)
University of Mississippi (US), Tisch Hospital (US)
Openalex Percentile: Top 86%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.