Suchergebnis

Titel des Experiments
Motivation to collaborate with conversational agents - development of a behavioral scale

Autoren
Spannbauer, Claudia; Zabel, Sarah; Neef, Nicolas; Otto, Siegmar

Kurzbeschreibung des Experiments
The aim of the study is to develop a scale that reliably and validly measures the motivation to collaborate with conversational agents (CAs). The validity assessment is carried out by comparing it with related constructs (construct validity) and examining its predictive power regarding CA behavior (predictive validity), as well as comparing its predictive power with similar instruments (incremental validity).

Since the study involves scale development, the research question and hypothesis generation differ from the approach of a classical experiment.
RQ 1: Does the scale reliably measure the motivation to collaborate with CAs?
RQ 2: Is the scale valid in terms of construct validity (convergent and divergent) and predictive validity?
RQ 3: Is its predictive validity better than that of related constructs?
RQ 4: Is there a negative correlation between the scale and AI anxiety?
RQ 5: (exploratory): Is there a correlation between the camouflaging of autistic traits and the motivation to collaborate with CAs?

The study is conducted as an online survey via an online research panel. The target population consists of individuals who have already had experience using CAs. Participation is voluntary and in accordance with the ethical standards of the American Psychological Association (https://www.apa.org/ethics/code). Participants are informed in advance that they can terminate the survey at any time. They are further informed about the anonymity of their participation and data storage. Participants are not exposed to any risks and give their informed consent to participate. The following instruments are used:

- Attitude towards AI: ATTARI-12, Stein et al., 2024
- Willingness to collaborate with CAs (Voice Assistants): Short Scale Collaboration Readiness Scale (Zabel et al., n.d.)
- AI Anxiety: AI Anxiety (AIA, Wang & Wang, 2022)
- Readiness for Innovation: Technology Readiness Index (TRI, Lam et al., 2008)
- Camouflaging Autistic Traits: Camouflaging Autistic Traits Questionnaire (CAT-Q, Hull et al., 2019)
Responses to these questions are mostly given on a 5-point Likert scale from 1 (strongly disagree) to 5 (strongly agree). For the CAT-Q, the response scale is a 7-point Likert scale with the same endpoints.
- Predictive Validity: to assess predictive validity, different links which lead to websites offering information about CA-related topics are presented at the end of the study. It is measured whether and how many links participants click on.

Hull, L., Mandy, W., Lai, M.‑C., Baron-Cohen, S., Allison, C., Smith, P., & Petrides, K. V. (2019). Development and Validation of the Camouflaging Autistic Traits Questionnaire (CAT-Q). Journal of Autism and Developmental Disorders, 49(3), 819–833. https://doi.org/10.1007/s10803-018-3792-6
Lam, S. Y., Chiang, J., & Parasuraman, A. (2008). The effects of the dimensions of technology readiness on technology acceptance: An empirical analysis. Journal of Interactive Marketing, 22(4), 19–39. https://doi.org/10.1002/dir.20119
Stein, J.‑P., Messingschlager, T., Gnambs, T., Hutmacher, F., & Appel, M. (2024). Attitudes towards AI: Measurement and associations with personality. Scientific Reports, 14(1), 2909. https://doi.org/10.1038/s41598-024-53335-2
Wang, Y.‑Y., & Wang, Y.‑S. (2022). Development and validation of an artificial intelligence anxiety scale: an initial application in predicting motivated learning behavior.Interactive Learning Environments, 30(4), 619–634. https://doi.org/10.1080/10494820.2019.1674887
Zabel, S., Blaurock, M., Büttgen, M., & Otto, S. (under review). With a Little Help From My Voice Assistant—Measuring Users' Collaboration Readiness.

Downloads

Institutional Review Board Certificate (English)